Course information contained within the Bulletin is accurate at the time of publication in July 2024 but is subject to change. For the most up-to-date course information, please refer to the Course Catalog.
CIS 0822. Technological Horizons: Information Technology in the 21st Century. 3 Credit Hours.
Course Attributes: GS
Repeatability: This course may not be repeated for additional credits.
CIS 0823. Math for a Digital World. 4 Credit Hours.
This course is about becoming an "informed user" of quantitative information. Do numbers make us more or less rational? What does "free" really mean? What's the difference between "correlation" and "cause"? How can we be misled by numbers? How can we make better decisions and have more effective discussions by understanding mathematics? Does it make sense to play the lottery? What are your chances of drawing the card you in need in a poker game? How long will it take you to save a million dollars assuming interest is earned but you keep spending? How does math play into the digital world that surrounds us, whether it is email, online tools or the creation of passwords, IDs or serial numbers? These and many other questions will be explored and answered throughout the course. NOTE: (1) This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core. (2) Duplicate Course: Students cannot receive credit for CIS 0823/0923 if they have successfully completed MATH 0823/0923.
Course Attributes: GQ
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (any MATH course numbered 0701 to 0702, any MATH course numbered 0800 to 0822 (may be taken concurrently), any MATH course numbered 0824 to 0922 (may be taken concurrently), any MATH course numbered 0924 to 4999 (may be taken concurrently), 'Y' in MC3, 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (may be taken concurrently), 'Y' in STT2, STAT 1102 (may be taken concurrently), STAT 1902 (may be taken concurrently), 'Y' in MC3A, 'Y' in MC6A, 'Y' in MATW, 'Y' in MC3S, 'Y' in MC3D, 'Y' in MC3O, 'Y' in MC3T, or 'Y' in MC6T)
CIS 0835. Cyberspace & Society. 3 Credit Hours.
This course provides students with an understanding of the underlying foundations of technology that have an impact on their lives and integrates those principles with real-world activities. It promotes information fluency by giving students an understanding of the foundational concepts from which the technology is derived and helping them to develop higher-level intellectual capabilities for applying the technology. The class is broken into three sections - technology principles, technology's impact in society and labs. It is the combination of these three sections that will enable students to understand the foundation and the implementation of technology in their daily lives. Class lectures incorporating a myriad of digital technologies including computer hardware, readings, labs and student discussions will be utilized to integrate the application of technology and the impact facing society. NOTE: (1) Duplicate Course: No credit for students who have taken CIS 1055 (C055), 1955 (H095) or 0935. (2) This course fulfills a Science & Technology (GS) requirement for students under GenEd and Science & Technology Second Level (SB) for students under Core.
Course Attributes: GS
Repeatability: This course may not be repeated for additional credits.
CIS 0923. Honors Math for a Digital World. 4 Credit Hours.
This course is about becoming an "informed user" of quantitative information. Do numbers make us more or less rational? What does "free" really mean? What's the difference between "correlation" and "cause"? How can we be misled by numbers? How can we make better decisions and have more effective discussions by understanding mathematics? Does it make sense to play the lottery? What are your chances of drawing the card you in need in a poker game? How long will it take you to save a million dollars assuming interest is earned but you keep spending? How does math play into the digital world that surrounds us, whether it is email, online tools or the creation of passwords, IDs or serial numbers? These and many other questions will be explored and answered throughout the course. NOTE: (1) This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core. (2) Duplicate Course: Students cannot receive credit for CIS 0823/0923 if they have successfully completed MATH 0823/0923.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR.
Course Attributes: GQ, HO
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (any MATH course numbered 0701 to 0702, any MATH course numbered 0800 to 0822 (may be taken concurrently), any MATH course numbered 0824 to 0922 (may be taken concurrently), any MATH course numbered 0924 to 4999 (may be taken concurrently), 'Y' in MC3, 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (may be taken concurrently), 'Y' in STT2, STAT 1102 (may be taken concurrently), STAT 1902 (may be taken concurrently), 'Y' in MC3A, 'Y' in MC6A, 'Y' in MATW, 'Y' in MC3S, 'Y' in MC3D, 'Y' in MC3O, 'Y' in MC3T, or 'Y' in MC6T)
CIS 0935. Honors Cyberspace & Society. 3 Credit Hours.
This course provides students with an understanding of the underlying principles of technology that have an impact on their lives and how those principles are related to real-world activities. The course promotes information fluency by giving students an understanding of the foundational concepts on which the technology is derived and helping them to develop higher-level intellectual capabilities for applying the technology. The class is broken into three equal sections - technology, ethics and virtual labs. It is the combination of these three sections that will enable students to understand the foundation and the implementation of technology in their daily lives. Class lectures, readings, virtual labs and student discussions will be utilized to integrate the application of technology with social and ethical issues facing society. As examples, discussions might include: What is the impact of the Internet on intellectual property? How far can government surveillance go to detect criminal behavior without reducing our civil liberties? How can vulnerable groups be protected from predators, scam artists, and identity theft? Is it ethical to download free music and video from the Internet? NOTE: (1) Duplicate Course: No credit for students who have taken CIS 1055 (C055), 1955 (H095) or 0835. (2) This course fulfills a Science & Technology (GS) requirement for students under GenEd and Science & Technology Second Level (SB) for students under Core. (3) This is an Honors course.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR.
Course Attributes: GS, HO
Repeatability: This course may not be repeated for additional credits.
CIS 1001. Introduction to Academics in Computer Science. 1 Credit Hour.
Students will be introduced to the field of computing, including potential career opportunities, the Computer & Information Sciences department and its resources, the departmental faculty, and the Computer Science degree programs, as well as the opportunities for internships and research. There will be guest lectures by Computer & Information Sciences faculty, students and alumni, demonstrations of computing technology, and discussions to illustrate the interdisciplinary nature of Computer Science and Information Science and Technology. NOTE: This is a required course for all Computer Science and Information Science and Technology majors. It is also recommended for undecided students looking for a major.
Repeatability: This course may not be repeated for additional credits.
CIS 1049. Comp Tools Competency. 1 Credit Hour.
Repeatability: This course may not be repeated for additional credits.
CIS 1051. Introduction to Problem Solving and Programming in Python. 4 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 0702 (C or higher), any MATH course numbered 1021 to 4999 (may be taken concurrently), 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (C or higher), STAT 1102, STAT 1902, 'Y' in MC6A, 'Y' in MATW, 'Y' in CRMA01, 'Y' in CRMA04, 'Y' in CRST01, or 'Y' in MC6T)
CIS 1052. Introduction to Web Technology and Programming. 4 Credit Hours.
This course is designed to introduce students with no programming experience to the programming languages and techniques associated with the World Wide Web. The course will introduce web-based media-rich programming tools for creating interactive web pages. Basic animation programming is also introduced with an emphasis on media-rich content creation, distribution and tracking capabilities.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (any MATH course numbered 0701 to 0702, any MATH course numbered 0800 to 4999 (may be taken concurrently), 'Y' in MC3, 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (may be taken concurrently), 'Y' in STT2, STAT 1102 (may be taken concurrently), STAT 1902 (may be taken concurrently), 'Y' in MC3A, 'Y' in MC6A, 'Y' in MATW, 'Y' in MC3S, 'Y' in MC3D, 'Y' in MC3O, 'Y' in MC3T, or 'Y' in MC6T)
CIS 1053. Programming in Matlab. 4 Credit Hours.
Course Attributes: QB
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 1021 (C or higher), any MATH course numbered 1022 to 4999 (may be taken concurrently), 'Y' in MC5, 'Y' in MC6, 'Y' in MA03, STAT 1001 (C or higher), STAT 1102, STAT 1902, 'Y' in MC6A, 'Y' in MATW, 'Y' in CRMA04, 'Y' in CRST01, or 'Y' in MC6T)
CIS 1055. Computers and Applications. 4 Credit Hours.
Course Attributes: SB
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (any MATH course numbered 0701 to 0702, any MATH course numbered 0800 to 4999 (may be taken concurrently), 'Y' in MC3, 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (may be taken concurrently), 'Y' in STT2, STAT 1102 (may be taken concurrently), STAT 1902 (may be taken concurrently), 'Y' in MC3A, 'Y' in MC6A, 'Y' in MATW, 'Y' in MC3S, 'Y' in MC3D, 'Y' in MC3O, 'Y' in MC3T, or 'Y' in MC6T)
CIS 1056. Advanced Web Technology and Programming. 4 Credit Hours.
In this course, students will learn how to write web applications using Java and JSP (Java Server Pages). This course focuses on fundamental programming concepts such as data types, type conversion, exception handling, assignment statements, methods, objects, conditions, and loops. SQL (Structured Query Language) will be used to communicate with a database. JSP implicit objects (e.g., session, response) will be employed for the management of log-in and security. Students are expected to have prior knowledge of basic web design, since HTML, CSS, and Javascript will be reviewed only briefly. By the end of the course, each student will have created a simple web application that accesses a database.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 1052.
CIS 1057. Computer Programming in C. 4 Credit Hours.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Course Attributes: QB
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 0702 (C or higher), any MATH course numbered 1021 to 4999 (may be taken concurrently), 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, STAT 1001 (C or higher), STAT 1102, STAT 1902, 'Y' in MC6A, 'Y' in MATW, 'Y' in CRMA01, 'Y' in CRMA04, 'Y' in CRST01, or 'Y' in MC6T)
CIS 1068. Program Design and Abstraction. 4 Credit Hours.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (CIS 1051, CIS 1057, or 'Y' in CISA) and (MATH 0702 (C or higher), any MATH course numbered 1021 to 4999 (may be taken concurrently), 'Y' in MC4, 'Y' in MC5, 'Y' in MC6, 'Y' in MC6A, 'Y' in MC6T, or 'Y' in MATW)
CIS 1166. Mathematical Concepts in Computing I. 4 Credit Hours.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (MATH 1021, any MATH course numbered 1022 to 4999 (may be taken concurrently), 'Y' in MC5, 'Y' in MC6, 'Y' in MC6A, 'Y' in MATW, or 'Y' in MC6T)
CIS 1951. Honors Introduction to Problem Solving and Programming in Python. 4 Credit Hours.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR.
Course Attributes: HO
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 1021 (C or higher), 'Y' in MATW, any MATH course numbered 1022 to 4999 (may be taken concurrently), 'Y' in MC5, 'Y' in MC6, 'Y' in MA03, STAT 1001 (C or higher), STAT 1102, STAT 1902, 'Y' in MC6A, 'Y' in CRMA04, 'Y' in CRST01, or 'Y' in MC6T)
CIS 1966. Honors Mathematical Concepts in Computing I. 4 Credit Hours.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR.
Course Attributes: HO
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 1041 (C or higher; may be taken concurrently), MATH 1941 (C or higher; may be taken concurrently), MATH 1038 (C or higher; may be taken concurrently), MATH 1042 (may be taken concurrently), MATH 1044 (may be taken concurrently), MATH 1942 (may be taken concurrently), MATH 1951 (may be taken concurrently), any MATH course numbered 2043 to 3080 (D or higher; may be taken concurrently), 'Y' in MA06, 'Y' in MATW, 'Y' in CRMA08, or 'Y' in CRMA21)
CIS 1968. Honors Program Design and Abstraction. 4 Credit Hours.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCHONORS, UHONORS, UHONORSTR.
Course Attributes: HO
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (CIS 1051, CIS 1057, or CIS 1951) and (MATH 1041 (C or higher; may be taken concurrently), MATH 1941 (C or higher; may be taken concurrently), MATH 1038 (C or higher; may be taken concurrently), MATH 1042 (may be taken concurrently), MATH 1044 (may be taken concurrently), MATH 1942 (may be taken concurrently), MATH 1951 (may be taken concurrently), any MATH course numbered 2043 to 3080 (D or higher; may be taken concurrently), 'Y' in MA06, 'Y' in MATW, 'Y' in CRMA08, or 'Y' in CRMA21)
CIS 2004. Sci+Tech Scholars Seminar. 1 Credit Hour.
Cohort Restrictions: Must be enrolled in one of the following Cohorts: SCITECHSCH.
Repeatability: This course may be repeated for additional credit.
CIS 2033. Computational Probability and Statistics. 3 Credit Hours.
The goal is to introduce students to modern and extremely useful topics in computational statistics. It focuses on computational aspects and provides a hands-on introduction to fundamental concepts of data analysis. The course offers a foundation for further courses in data mining, machine learning, artificial intelligence, robotics, computer vision, and in general in computational statistics and scientific computing.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1068 or CIS 1073), CIS 1166, and (MATH 1041, MATH 1038, (MATH 1031 and MATH 1022), MATH 1941, MATH 1042 (may be taken concurrently), MATH 1044 (may be taken concurrently), MATH 1942 (may be taken concurrently), MATH 1951 (may be taken concurrently), any MATH course numbered 2043 to 3080 (may be taken concurrently), 'Y' in MA05, 'Y' in MA06, or 'Y' in MATW)
CIS 2082. Independent Research I. 1 to 4 Credit Hour.
Supervised research under the direction of a faculty member in the Department of CIS. All students must obtain the approval of the CIS Administrative Coordinator. NOTE: Not available for major credit and does not count in the major GPA. This course is repeatable. A major GPA of 3.0 or above is required to enroll in this course.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in (CIS 1051, CIS 1951, CIS 1057, CIS 1068, or CIS 1968)
CIS 2100. Special Topics in CIS. 1 to 6 Credit Hour.
Repeatability: This course may be repeated for additional credit.
CIS 2107. Computer Systems and Low-Level Programming. 4 Credit Hours.
This course introduces computer systems architecture at the level required to understand low-level systems programming. It examines issues of information representation, the form of machine instructions and addressing, the implementation of programming language constructs in terms of machine instructions, the interfaces to peripheral devices. Programming is done in assembly language and in C. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Computer & Information Science, Computer Science, Computer Science and Physics, Data Science: Comp Analytics, Mathematics/Computer Science, Mathematics & Comp Sci w/Teach.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1068 or CIS 1073) and CIS 1166.
CIS 2109. Database Management Systems. 4 Credit Hours.
This is an introductory course in database management systems (DBMS) and file management systems. The course covers data modeling concepts, various file management techniques, data definition and manipulation using SQL, issues in data management, development and implementation of database applications, and a perspective on emerging issues in database systems. Students work in the Lab on various assignments including prototyping and SQL, utilizing state of the art DBMS and CASE tools. NOTE: (1) Duplicate Course: No credit for students who have completed CIS 4331 (0331). (2) Prior to fall 2016, the course title was "Database and File Management Systems."
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1051, CIS 1057, CIS 1068, CIS 1951, or CIS 1968)
CIS 2166. Mathematical Concepts in Computing II. 4 Credit Hours.
A continuation of CIS 1166. Concepts include recursion and recursive algorithms; relations including equivalence, congruence, and order; introduction to graphs and trees. Additional topics include Boolean algebra and finite automata. Applications to computer science will be illustrated. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in (MATH 1041 (C or higher), MATH 1941 (C or higher), MATH 1038 (C or higher), MATH 1042 (may be taken concurrently), MATH 1044 (may be taken concurrently), MATH 1942 (may be taken concurrently), MATH 1951 (may be taken concurrently), any MATH course numbered 2043 to 3080 (may be taken concurrently), 'Y' in MA06, 'Y' in MATW, 'Y' in CRMA08, or 'Y' in CRMA21), (CIS 1068 or CIS 1968), and (CIS 1166, CIS 1966, or MATH 2111)
CIS 2168. Data Structures. 4 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1068 or CIS 1968), (CIS 1166, CIS 1966, or MATH 2111), and (MATH 1022, any MATH course numbered 1038 to 4999 (may be taken concurrently), 'Y' in MC6, 'Y' in MA04, 'Y' in MC6A, 'Y' in MATW, or 'Y' in MC6T)
CIS 2229. Architecture, Operating Systems and Networking. 4 Credit Hours.
This course provides an introduction to computer system architecture, operating systems concepts, and network organization, structure, and management. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1051, CIS 1951, CIS 1057, CIS 1068, or CIS 1968)
CIS 2305. Mobile Computing Technologies. 4 Credit Hours.
This course provides an environment for students to learn and experiment with mobile computing technologies in different platforms, such as iPhone, Android and Windows Mobile (in partnership with Microsoft Research). The actual platform may rotate according to students' interest, device and instructor availability. The course is tutorial and project oriented. The first eight weeks are for tutorials and laboratories. The remaining weeks are for group projects. Each team will consist of students with programming, management and critical analysis skills. NOTE: For Information Science & Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 1068, CIS 1073, or CIS 1056)
CIS 3100. Special Topics in CIS. 1 to 6 Credit Hour.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3191. Independent Research II. 1 to 4 Credit Hour.
Prerequisites: Completion of CIS 2168 and [CIS 3223 or CIS 3309] with at least a C-, and a GPA of 3.0 or better in the major. Research under the direction of a faculty member in the Department of CIS. All students must obtain the approval of the CIS Administrative Coordinator. NOTE: Not available for major credit and does not count in the major GPA. This course is repeatable.
Repeatability: This course may be repeated for additional credit.
CIS 3203. Introduction to Artificial Intelligence. 4 Credit Hours.
Introduction to the issues and ideas of artificial intelligence using LISP and PROLOG. Knowledge of representation, search, problem solving, learning and mathematical reasoning. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2033, CIS 2166, and CIS 2168.
CIS 3207. Introduction to Systems Programming and Operating Systems. 4 Credit Hours.
This course is concept-oriented, not specialized to a particular operating system, and not trying to teach how to code the kernel of an operating system. After reviewing a number of system programming issues, it examines the basic components of modern operating systems in terms of their function, domain, design, principles and implementation techniques, use and impact on systems programming. It describes and uses in programming homework two modern operating systems (UNIX and Windows NT). Design and implementation of a number of concurrent programs is examined. Hardware support for operating system functions is discussed. Performance issues are considered through the course. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 1166, CIS 2107, and CIS 2168.
CIS 3211. Automata, Computability, and Languages. 3 Credit Hours.
Finite automata, their limitations and capabilities, and Kleen's theorem or regular expressions. Other types of automata and their events. Turing machine and computability, computable functions, and halting problems. Introduction to context-free languages. Syntactical analysis of such languages with application to translation. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2166.
CIS 3217. Computer Architecture. 3 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2107 and CIS 2168.
CIS 3219. Computer Graphics and Image Processing. 4 Credit Hours.
An analysis of the techniques used in computer manipulation of two- and three-dimensional images. Hardware and software for displaying images, two- and three-dimensional transformations, the hidden line problem, picture processing, character recognition, and two-dimensional filtering. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- (except where noted) in CIS 1166, CIS 2107, CIS 2168, and (MATH 1042 (C or higher), MATH 1942 (C or higher), MATH 1951 (C or higher), any MATH course numbered 2043 to 3080 (may be taken concurrently), 'Y' in MA07, 'Y' in MATW, 'Y' in CRMA09, or 'Y' in CRMA11)
CIS 3223. Data Structures and Algorithms. 3 Credit Hours.
Comparative analysis of algorithms and data structures. Data structures include heaps, priority queues, binary and general trees, binary search trees, AVL trees, Red-Black trees, B-trees, and graphs. Algorithms include heapsort, topological sort, breadth-first search, depth-first search, shortest path algorithms, and Greedy algorithms. Students will gain experience working in a group on at least one moderate-size project. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2166, CIS 2168, (CIS 2033 or MATH 3031), and (MATH 1042, MATH 1942, MATH 1951, any MATH course numbered 2043 to 3080 (may be taken concurrently), 'Y' in MA07, or 'Y' in MATW)
CIS 3238. Software Design. 4 Credit Hours.
Provides direct experience in the design, development, documentation, testing and maintenance of medium size software projects, in the use of modern software problem solving abstractions and solution patterns, and in the use of software development environments. This course is the capstone of the programming course sequence.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and CIS 3207.
CIS 3242. Discrete Structures. 3 Credit Hours.
Introduction to algebraic structures fundamental to various areas of computer science. Graphs, planar graphs, algorithms on graphs and their analysis, sequential machines and their minimization, semi-groups, and groups and their application to computer science. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2166.
CIS 3281. Cooperative Education Experience in Information Science & Technology. 4 Credit Hours.
Prerequisites: Completion of CIS 2168 with at least a C-. All students must obtain the approval of the IST Faculty Advisor. In this course, students undertake directed study in Information Science and Technology, which integrates academic program and work experience. The course is coordinated by an Information Science & Technology faculty member, but supervised by the student’s work supervisor. At the end of the semester students will turn in a final report detailing the work done on the project. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may be repeated for additional credit.
CIS 3287. Software Design/Practicum. 4 Credit Hours.
Provides direct experience in the design, development, documentation, testing and maintenance of medium size software projects, in the use of modern software problem solving abstractions and solution patterns, and in the use of software development environments. This course is the capstone of the programming course sequence. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C in (CIS 2168 or 'Y' in CRCI02) and (CIS 3207 or 'Y' in CRCI03)
CIS 3296. Software Design. 4 Credit Hours.
Course Attributes: WI
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and CIS 3207.
CIS 3308. Web Application Programming. 4 Credit Hours.
This course introduces the techniques used in the design and implementation of web applications. Using development environments such as Dreamweaver, Visual Studio, Eclipse, Netbeans, and SQL Management Studio, students write code for the browser (HTML, Cascading Style Sheets, javascript, ajax), web application server (JSP, PHP, or C# .NET), and database server (SQL, stored procedures, triggers). Students learn about internet protocols and how to work with web application objects (e.g., request, response, session). Students learn how design patterns such as MVC (Model-View-Controller) can and should be applied to the multi-tiered, distributed software that make up today's web applications. XML (a format commonly used to transfer data over the internet) and web services (a method call to a remote computer over the internet) are discussed and demonstrated. Each student will program their own web application, expanding on its functionality each week in the lab.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2107 and (CIS 2168 or CIS 2173)
CIS 3309. Component-Based Software Design. 4 Credit Hours.
This course emphasizes component-based software development using a modern object-oriented programming (OOP) language (currently C#). Students are introduced to software development techniques applicable in a component (class)-based, integrated software development environment (IDE). Students will learn (and practice using) the OOP language, object-oriented software design techniques, and the principles of good user interface design. Students will also learn how to navigate in, and take full advantage of, an IDE in building quality software, including user interfaces to databases, sequential files, and graphics tools. Object-oriented concepts such as inheritance, polymorphism, static and dynamic binding, and interface (abstract class) components will be covered. The primary focus is on windows-based software products, but the use of ASP.NET for client-server systems development is also introduced. NOTE: (1) Duplicate Course: Students may not get credit for both CIS 4309 and 3309. (2) For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 2109 (may be taken concurrently) or CIS 4331), (CIS 2168 or CIS 2173), and (MATH 1022, any MATH course numbered 1038 to 4999, 'Y' in MC6, 'Y' in MA04, 'Y' in MC6A, 'Y' in MATW, or 'Y' in MC6T)
CIS 3319. Wireless Networks and Security. 4 Credit Hours.
The students are expected to learn fundamental knowledge of cryptography, several types of important wireless networks, and security issues and defenses in the wireless networks and systems.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2107 and CIS 2168.
CIS 3329. Network Architectures. 4 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and (CIS 2107 or CIS 2229)
CIS 3342. Server-Side Web Application Development. 4 Credit Hours.
The objective of this course is to provide further depth, beyond CIS 3309, into the development of network deployed systems. Its emphasis is on distributed, multi-tier architectures. The course is divided into 3 parts. First is the theory associated with software engineering design principles and distributed processing in client/server architectures and database systems. The second part is a deeper knowledge of the ASP.NET and C#.NET languages beyond CIS 3309. This would include such topics as web and windows applications, user interfaces, event handling, database design and ADO.NET, Web Services, Ajax, user controls, and report generation. The third part of the course is a project that the student will perform in the design and programming of a distributed client/server application. NOTE: (1) For Information Science and Technology Majors. (2) Prior to fall 2017, the course title was "Networked Application Systems."
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2109, CIS 3309, and CIS 3344.
CIS 3344. Client-Side Scripting for the Web. 4 Credit Hours.
Today's web applications are becoming more interactive, doing more on the client side and less on the server side. A new software design goal is to write a single code base that can support many formats, from mobile phones, to tablets, to computer monitors. This course will focus on current technologies in client side web scripting, such as: HTML, CSS, responsive web design techniques, JavaScript, JavaScript libraries (such as jQuery), JSON (or other web data formats), Ajax (a technique using JavaScript to make asynchronous calls to web APIs), and client side web application frameworks (such as AngularJS). Students will create web applications that access a database using client side code that invokes web APIs. NOTE: (1) For Information Science and Technology Majors. (2) Prior to fall 2016, the course title was "Advanced Web Application Design and Scripting."
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2109 (may be taken concurrently) and CIS 2168.
CIS 3374. Quality Assurance & Testing. 4 Credit Hours.
Learn the techniques for creating quality systems. This course discusses the crucial steps to be taken to assure that systems: do what they are intended to do; work reliably; satisfy the client's requirements; are completed on time and within budget. Quality practices will be introduced and reviewed to give you a perspective as to why some systems succeed and others fail. Most importantly, students will learn techniques for building quality systems. A number of software tools will be introduced and discussed. Participants will be expected to complete one research paper on test automation, write test plans, and develop the skills to improve the software development process. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3376. Enterprise Resource Planning (ERP) Design and Implementation. 3 Credit Hours.
This course is designed to teach students about implementation of integrated information system for the enterprise using SAP ERP. The course will explain the fundamental concepts of ERP implementations, including cost/benefit, infrastructure design and integration issues. Online tutorials will be used to provide an introduction to the SAP and navigation exercises to acquaint students with getting around within SAP ERP. Students then will work in teams on case studies that execute business process integration in five key areas: sales logistics, production logistics, procurement logistics, accounting/controlling, and human resources. Additionally, students are introduced to SAP master data creation and use. NOTE: For Information Science & Technology Majors.
NOTE: This is a new course number for the SAP course, which had been offered as CIS 4340. Students may not take this course if you already took CIS 4340. For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2109 and CIS 2168.
CIS 3381. Cooperative Education Experience in Computer Science. 4 Credit Hours.
Students undertake directed study in Computer Science, which integrates academic program and work experience. The course is coordinated by a Computer Science faculty member, but supervised by the student's work supervisor. Students will submit a weekly log and turn in a final report detailing the work completed at the end of the semester. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may be repeated for additional credit.
CIS 3441. Software Security. 3 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3513. Introduction to iOS Application Development. 4 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 3207 or CIS 3342)
CIS 3515. Introduction to Mobile Application Development. 4 Credit Hours.
This course will introduce students to application development for mobile devices, and the various concerns of mobile platforms. Students will learn about the various constraints inherent to mobile applications as well as the new opportunities that they present. They will learn how to address challenges in hardware and mobile interface modalities by incorporating software design and user-interaction design principles. Additionally, students will be exposed to new models of software and data distribution, leveraging third party software, and managing local and remote data.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3603. User Experience Design. 3 Credit Hours.
This course will focus on the effective understanding and implementation of the iterative UX design process. Students will learn to have empathy for users by putting into practice each phase of the design process, including Scoping, Research, Analysis, Ideation, Design, Validation, and more. Students will gain exposure and experience in a simulation of a real-world experience.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3605. Introduction to Digital Forensics. 3 Credit Hours.
This course is a broad introduction to the field of Digital Forensics. It covers various fundamental topics necessary for digital forensics investigation. The course begins with foundations of electronic evidence including cyber crime laws, the 4th Amendment, compliance and requirements, collection and handling, analysis, and reporting. The course also covers fundamentals of file systems with specific details pertaining to Microsoft FAT file systems. Students will learn two important forensics techniques - file recovery and file carving - among other things. Finally, forensics artifacts relevant to Windows Systems and Networks are discussed with relevant lab activities and students are also introduced to Antiforensics. Hands-on lab activities familiarize students with several relevant investigation techniques and the use of open source forensics tools.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 2107 or CIS 2229) and CIS 2168.
CIS 3715. Principles of Data Science. 4 Credit Hours.
Introduction to the practice of data science. Students will leave the class with a broad set of practical data analytic skills based on building real analytic applications on real data. Skills include collecting, accessing, and transferring data, applying methods from machine learning and data mining to analyze data, and visualization and presentation of results. The students will gain experience in processing "big data" which are too big to fit in the computer's memory. NOTE: For Computer Science and Information Science and Technology Majors.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 2166, MATH 2101, MATH 2103, or ENGR 2011) and (CIS 1051, CIS 1057, CIS 1068, or CIS 1968)
CIS 3755. Introduction to Information Visualization. 3 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 3775. Information Technology Project Management. 3 Credit Hours.
Strong business leaders in today's marketplace use project management knowledge and skills as a key differentiator driving success in their organizations. This course will use case studies to examine basic components of time, scope and resources within the project management processes defined by the Project Management Institute. This course lays the foundation for learning project management with practical examples and tools used in actual business situations. Learn how project management can be driven not only from a monitoring and numbers perspective but also from a people perspective to reach business goals. NOTE: For Information Science and Technology Majors.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4083. Directed Reading/Study. 1 to 4 Credit Hour.
Prerequisites: Completion of CIS 2168 and [CIS 3223 or CIS 3309] with at least a C-, and a GPA of 3.0 or better in the major. A tutorial opportunity for a student to work with a faculty member to investigate areas of study not covered by courses in the department. All students must obtain the approval of the CIS Administrative Coordinator. NOTE: Not available for major credit. Counts toward the major GPA. This course is repeatable.
Repeatability: This course may be repeated for additional credit.
CIS 4105. Information Technology Process Management. 3 Credit Hours.
An introduction to essential techniques for successfully creating, organizing and managing IT projects. The course provides the foundation for more advanced studies in process management and software engineering. Enterprise-wide requirements, long-range planning and managing all aspects of the development process will be emphasized. The course will stress the use of appropriate software tools and process modeling throughout the development lifecycle. Quality assurance techniques are introduced at the outset to guide IT processes and decision making. Methods and tools for the technical development of IT systems are presented and used in case projects. The course follows the normal development lifecycle, starting with the recognition and justification of the need for either a new system or an upgrade to an existing system. It then proceeds through analysis, specification, design, implementation, testing (quality assurance), client training and turnover, and maintenance. The importance of each development stage will be taught within the framework of systems reliability, effectiveness, security, scalability, and development cost. NOTE: For Information Science & Technology Majors.
NOTE: For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4106. System Development Process. 3 Credit Hours.
Methods and tools for the technical development of IT systems are presented and used in case projects. The course follows the normal development lifecycle, starting with the recognition and justification of the need for either a new system or an upgrade to an existing system. It then proceeds through analysis, specification, design, implementation, testing (quality assurance), client training and turnover, and maintenance. The importance of each development stage will be taught within the framework of systems reliability, effectiveness, security, scalability, and development cost. NOTE: For Information Science & Technology Majors.
NOTE: For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3309.
CIS 4108. Emerging Technologies and Tools for Enterprise Management. 3 Credit Hours.
The purpose of this course is to provide students with an understanding of maturing and emerging technologies and their likely impact on the networked information paradigm and enterprise management. Both hardware and software technologies will be covered. Students will be introduced to advanced software tools that demonstrate how agency enterprises make use of vast information flows and interconnectivity. NOTE: For Inforomation Science & Technology Majors.
NOTE: For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3309.
CIS 4282. Independent Study. 1 to 6 Credit Hour.
Research under supervision of a faculty member.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may be repeated for additional credit.
CIS 4296. Information Systems Analysis and Design. 4 Credit Hours.
The analysis and design phases of the System Development Life cycle are covered in detail. Methodologies for systems analysis, specifications, and design are covered. Both the Traditional Structured and Object Oriented methodologies are used by the students, working in teams, to develop real-life information systems. Emphasis is placed on well-written documentation as well as oral communication typically required during the software development life cycle. Project management tools are employed by students to monitor their progress and the costs associated with their projects. CASE tools are employed for data and information modeling and specification. NOTE: (1) Duplicate Course: No credit for students who have completed CIS 4298 (W338). (2) For Information Science and Technology Major.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Course Attributes: WI
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2109, CIS 3309, and CIS 3342 (may be taken concurrently)
CIS 4305. Real Time Computer Systems. 4 Credit Hours.
Introduction to the problems and techniques of designing and developing real-time systems. Topics will include components of real-time and embedded systems, system and device architecture, synchronous and asynchronous event handling, multi-tasking in real-time systems, scheduling and synchronization, and real-time data acquisition and control. The laboratory component involves building systems and simulations in real-time environments, with real-time kernels. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3207 and CIS 3223.
CIS 4307. Introduction to Distributed Systems and Networks. 4 Credit Hours.
Introduction to the concepts that are fundamental for understanding distributed systems and the technical infrastructure that makes them possible. Lectures will mostly be expository and conceptual. Directed closed laboratories and home assignments will be applied and involve the solution of distributed programming problems. NOTE: For Computer Science Majors.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2166, CIS 3207, and CIS 3223.
CIS 4308. Development of Multi-tier Client/Server Systems. 4 Credit Hours.
The objective of this course is to teach the principles and development of multi-tiered distributed systems. It is introduced with a basic review of internet communications and the architecture of client and server sites, including the functions of and relationships among the browser, web server, operating and file systems, middle-ware, database server, and application servers. Concepts involving various types of client/server side processing and remote connectivity methodologies are reviewed, including scripting languages, HTML, Dynamic HTML, XML, ASP, CGI, and DCOM. About 30% of the course is devoted to the above-described theory. The remainder of the course will be devoted to putting some of these principles and techniques into practice using the DCOM technology. A series of progressively sophisticated problems will be studied and programmed in the lab. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3207 and CIS 3223.
CIS 4319. Computer Networks and Communications. 4 Credit Hours.
Introduction to computer networks and communications. Local and wide area networks. Network topology and routing. Internet and ISO protocols. Applications including remote procedure calls, remote logon, and file transfer. Network operating systems. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3207 and CIS 2166.
CIS 4324. Compiler Design. 4 Credit Hours.
The student will learn what a compiler is and how it works. Topics covered include: how to specify what a legal program is in a language (syntax); how to specify what a legal program does (semantics); how a computer uses these specifications to recognize a legal program and translate this program into the machine's language. Students will develop a working compiler for a simple object-oriented programming language using an Object-Oriented approach, using Java, and the compiler construction tool ANTLR. The target will be the Java Virtual Machine. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and CIS 2166.
CIS 4330. Current Topics in Information Science & Technology. 3 Credit Hours.
Current problems in information science and technology. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
This course is repeatable for credit.
Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Information Science & Technolo.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4331. Principles of Database Systems. 4 Credit Hours.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2107 and CIS 2166.
CIS 4340. Seminar in Information Science & Technology. 4 Credit Hours.
Current problems in information science and technology. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
This course is repeatable for credit.
Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Information Science & Technolo.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4344. Advanced Web Application Design & Scripting. 4 Credit Hours.
A principal objective of the course is to present web site design and web application programming as separate technical disciplines and, at the same time, to show how they must be carefully integrated to produce effective results. The course will provide the student with the principal design techniques and associated implementation languages for creating dynamic web pages and for both client and server side processing via scripting and an object oriented, event driven language. The new concepts associated with Web 2.0 are presented. These capabilities are sometimes collectively described as Rich Internet Applications (RIA). They greatly enhance the dynamics and interactivity of web presentation and include the "push" vs. "pull" paradigms. Prevalent technologies and languages for web design to be taught are XHTML, CSS, XML, XSL, and DaM, Javascript, Action Script and Adobe FLEX. The prerequisite courses will provide students with the necessary elements of VB.NET for server side processing as well as SQL for database design. Together, the client side scripting languages and the server side .NET and SQL languages will enable students to create applications for the complete client/server cycle. Two other technologies will also be introduced as important contributors to RIA: (1) AJAX, which enhances the effectiveness and speed of the client/server interaction, and (2) Really Simple Syndication (RSS), which provides new delivery modes of web based information in terms of the "push" paradigm. Online tutorials and reference manuals will be made available for all languages used in the course as a supplement to the Text Book. The course will emphasize good web design practice, client server architecture, and the principles of event oriented programming. It will be shown how the use of an Integrated Development Environment (IDE) and other specialized tools can enhance programmer/designer productivity and quality of the final product. NOTE: For Information Science and Technology Majors. Prior to spring 2011, the course title was "Client/Server Scripting Languages for Web Development."
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3309 and CIS 2168.
CIS 4345. Introduction to Cloud Computing. 3 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3207.
CIS 4350. Seminar on Topics in Computer Science. 4 Credit Hours.
Current problems in computer science. NOTE: For Computer Science Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
This course is repeatable for credit.
Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Computer & Information Science, Computer Science, Computer Science and Physics, Data Science: Comp Analytics, Data Science, Mathematics/Computer Science, Mathematics & Comp Sci w/Teach.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4360. Seminar on Topics in Computer Science. 3 Credit Hours.
Field of Study Restrictions: Must be enrolled in one of the following Fields of study: Computer & Information Science, Computer Science, Computer Science and Physics, Data Science: Comp Analytics, Data Science, Mathematics/Computer Science, Mathematics & Comp Sci w/Teach.
Repeatability: This course may be repeated for additional credit.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4362. Application System Development Using Relational Technology. 4 Credit Hours.
This course will assist in achieving a significant level of understanding and synergy of a variety of Oracle tools, environments and languages including SQL*Plus, PL/SQL, Oracle Forms and Reports. As a parallel line it will be supported by a course project done in a team environment where every team member will do independent work in addition to learning how to work in a team. The course project will include a functional requirements specification, database design, SQL queries, SQL-based listings and reports, reports developed using Oracle Reports, online interface using Oracle Forms, and PL/SQL code supporting the developed application system. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 2109 or CIS 4331)
CIS 4372. C++ Applications Programming. 4 Credit Hours.
The C++ programming language is used extensively for interest and applications programming. This course is aimed at providing students with the object-oriented programming experience needed in applying C++ to these problem areas. The objectives are two-fold. One aim is to enhance the student's ability to organize large scale programming tasks using the object oriented approach. The second aim is to further the student's ability to develop error-free maintainable code. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2229 and CIS 3309.
CIS 4376. E-Commerce System Development. 4 Credit Hours.
The objective of this course is to teach the technical aspects of developing a commercial web site. This process combines a number of technologies: (1) web page and style sheet design, (2) dynamic web pages that access data from relational and XML databases, (3) client and server side transaction processing, (4) principles of internet security, scalability, and database reliability, (5) distributed component integration using packages for major functions such as credit card validation, shopping cart management, order fulfillment and inventory management. Students will develop a site as a course project. They will use the Microsoft Visual Studio.NET as the principal software development tool. This includes the ASP.NET and VB.NET languages. Tools to perform the other tasks include Front Page for web design, an XML editor for XML pages, and the Microsoft Enterprise Manager for the management of SQL Server databases and VS.NET component deployment. The course will provide numerous online references to all of these languages and tools. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168.
CIS 4378. Computer and Network Security. 4 Credit Hours.
This course provides an introduction to the inherent insecurities in today's computer systems and networks, and the commonly used tools and techniques used to secure them. Topics include cryptography basics, virtual private networks, secure sockets, e-mail security, firewalls, building secure software, kerberos, web server security, viruses, intrusion detection systems, and privacy issues. NOTE: For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2229 and CIS 3329.
CIS 4382. Independent Study. 1 to 6 Credit Hour.
Research under supervision of a faculty member.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Repeatability: This course may be repeated for additional credit.
CIS 4396. Information Systems Implementation. 4 Credit Hours.
This is a capstone course where teams of students implement the information system for which they developed specifications in CIS 4296 (W281). The teams create the database, programs, procedures and documentations necessary for their project. Techniques of modular design, program development, testing and integration are employed. Emphasis is placed on writing documentations, oral presentations and project management. NOTE: (1) Duplicate Course: No credit for students who have completed CIS 4398 (4339, 0339). (2) For Information Science and Technology Majors.
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Course Attributes: WI
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 4296 and (CIS 3342 or CIS 4342)
CIS 4397. Independent Research in Computer Science. 3 Credit Hours.
Students undertake research under the supervision of a CIS faculty member. The research project must be approved by the chair of the student's undergraduate program. Students must apply by November 15 for Spring, March 15 for Summer, and April 15 for Fall. Requirements include a 3.0 GPA overall and a 3.3 GPA in the major, and students must have completed all required courses in the major except for no more than 2 required electives in the major (CIS, Math, or Data Science Electives). Students are strongly urged to take an independent study with their research professor prior to enrolling in this course. Note: (1) This course is used to fulfill the capstone requirement in the major and (2) For Computer Science, Math & Computer Science, and Data Science majors.
Course Attributes: WI
Repeatability: This course may be repeated for additional credit.
CIS 4398. Projects in Computer Science. 3 Credit Hours.
Team-oriented design and implementation of large programming project. Students will propose topics for review and acceptance early in the semester. Students will provide written documentation of their completed projects and will demonstrate the operation of their completed projects in an oral presentation. Projects will be solicited from industry and other departments at the University. NOTE: For Computer Science Majors (For Math/CS Majors see your advisor).
For any CIS prerequisite course taken prior to Spring 2012 a grade of C or better is required.
Course Attributes: WI
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 3238, CIS 3287, or CIS 3296) and CIS 3223.
CIS 4419. Securing the Internet of Things. 3 Credit Hours.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and (CIS 2107 or CIS 3329)
CIS 4496. Projects in Data Science. 3 Credit Hours.
Course Attributes: WI
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168, CIS 3715, and MATH 3032 (may be taken concurrently)
CIS 4515. Advanced Mobile Application Development. 4 Credit Hours.
This course will introduce students to advanced concepts in application development for mobile devices. Students will learn to leverage the various novel components found in modern mobile devices such as NFC, Bluetooth, and GPS, to build applications that are aware of and act based on their environment. Students will learn to work in teams to design and implement complex applications and learn how to address challenges in hardware and user interfaces by incorporating software design and user-interaction design principles. Students will also be introduced to current software distribution models and the ethics of managing user data.
Note: Students can enroll in this course without the prerequisite if instructor permission is granted.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 3515.
CIS 4517. Data-Intensive and Cloud Computing. 3 Credit Hours.
This course will expose students to recently emerged and fast moving technology of big data and cloud computing. It will cover a spectrum of topics from core techniques in data management and analysis to highly-scalable data processing using parallel database systems. Students will be introduced to big data ecosystems such as Hadoop, Spark, Storm and MapReduce; cloud technologies such as Amazon EC2, Microsoft Azure and Google Cloud; data management tailored to cloud and big data such as NoSQL, Google Big Table/Apache HBase, and introductory applications to big data and cloud environment. Students will work directly with a selected set of these platforms, compare and contrast their relative strengths and weaknesses, and characterize the problems they are designed to solve. Note: Students may not receive credit for both CIS 4517 and CIS 5517.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2168 and (CIS 2166, MATH 2101, MATH 2103, ENGR 2011, or MATH 3045)
CIS 4523. Knowledge Discovery and Data Mining. 3 Credit Hours.
Basic concepts and techniques for the automated extraction of interesting patterns in large databases. Topics covered include: association-rule mining, sequence mining, web and texting mining, data warehousing, information filtering, classification and clustering analysis, Bayesian and neural networks, classification and regression trees, hypotheses evaluation, feature extraction, dimensionality reduction, singular value decomposition, data compression and reconstruction, visualization of large data sets, fractals in databases, and indexing methods that support efficient data mining and queries by content. Special emphasis is given in multimedia, business, scientific, and medical databases. Note: Students may not receive credit for both CIS 4523 and CIS 5523.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in MATH 2043, (CIS 2166, MATH 2101, or ENGR 2011), (MATH 3031, CIS 2033, ECE 3522, STAT 2103, or BIOL 3312), and (CIS 1051, CIS 1057, or CIS 1068)
CIS 4524. Analysis and Modeling of Social and Information Networks. 3 Credit Hours.
This course will include methods for analyzing and modeling the following aspects of social networks: the small-world network models, centralized and decentralized social network search algorithms, power-laws and preferential attachment, diffusion and information propagation in social networks, influence maximization in social networks, community detection in social networks, models of network cascades, models of evolving social networks, links and attributes prediction. Note: Students may not receive credit for both CIS 4524 and CIS 5524.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in MATH 2043, (CIS 2166, MATH 2101, or ENGR 2011), (MATH 3031, ECE 3522, STAT 2103, or BIOL 3312), and (CIS 1051, CIS 1057, or CIS 1068)
CIS 4526. Foundations of Machine Learning. 3 Credit Hours.
The goal of the field of machine learning is to build computer systems that learn from experience and are able to adapt to their environments. This introductory machine learning course will present modern machine learning algorithms from supervised and unsupervised learning. It will provide the basic intuition behind the algorithms as well as a more formal understanding of how and why they work. Students will learn how to apply machine learning algorithms on a range of real-life problems and how to evaluate their performance. Note: Students may not receive credit for both CIS 4526 and CIS 5526.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (MATH 1042 or MATH 1942), (CIS 2166, MATH 2101, MATH 2045, or ENGR 2011), (CIS 2033, MATH 3031, ECE 3522, STAT 2103, or BIOL 3312), and (CIS 1051, CIS 1057, CIS 1068, CIS 1951, or CIS 1968)
CIS 4615. Ethical Hacking and Intrusion Forensics. 3 Credit Hours.
This class teaches students how to use hacking techniques to perform a hack within legal confines. Such hacking is more commonly referred to as a white-hat or an ethical hack. The course will focus on both technical and social aspects of security, ranging from cryptography and biometrics to risk mitigation and disaster recovery aspects of security. Based on the ethical concepts built during the first half of the semester, students will learn the process involved with intrusion attack detection and forensics investigation. Finally, the course will significantly emphasize the key factors that differentiate a hacker (adversary/black-hat) from an ethical hacker, stressing the importance of being within legal confines, an important prerequisite for a successful ethical hacking career. NOTE: For Computer Science and Information Science and Technology Majors.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in (CIS 3319 or CIS 4378)
CIS 4625. Audit and Compliance for Security and Digital Forensics. 3 Credit Hours.
This course will provide students with a basic understanding of IT systems and the need for audit and compliance. Students will learn about IT terminology, governance, and the IT audit practice that has matured into given sets of frameworks, methodologies, approaches, and models with certain sets of underlying assumptions such as COBIT and SOX. Students will be exposed to various governance standards and federal compliance requirements. NOTE: For Computer Science and Information Science and Technology Majors.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C- in CIS 2229 and CIS 4378.
CIS 5001. Comp-Based Appl Prog. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5002. Database Design & Programming. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5003. Networking & Operating Systems. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5011. Programming and Data Structure. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5012. System Software and Operating Systems. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5013. Discrete Structure of Computer Science. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5015. Scripting for Sciences and Business. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5016. Data Structures and Objects. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5017. Operating Systems and Architecture. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5105. IT Process Management. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5106. System Development Processes. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5107. Computer Systems Security and Privacy. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5108. Emerging Technologies. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5208. Knowledge Management. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5210. Seminar in Information Science and Technology. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 5221. Introduction to Mobile Application Development. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of B- in CIS 5015 and CIS 5016.
CIS 5274. Software Quality Assurance and Testing. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5275. Software Project Management. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5301. Advanced Database Management Systems. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5303. Usability Engineering. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5304. Network Technologies. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5306. Software Engineering. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5405. Introduction to Digital Forensics. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5017.
CIS 5410. Advanced Seminar in Information Science and Technology. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 5413. Introduction to Privacy and Security for Internet-of-Things. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of B- in CIS 5405.
CIS 5415. Ethical Hacking and Intrusion Forensics. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5017 and CIS 5107.
CIS 5418. Blockchain Application Development. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in (CIS 5015 or CIS 5016)
CIS 5425. Audit and Compliance for Security and Digital Forensics. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5511. Programming Techniques. 3 Credit Hours.
A more formalized view of data structures. Stacks, trees, tables, lists, multilinked structures, strings and files are considered. These are viewed in terms of their general usefulness in the construction of algorithms and in their efficient implementation. Both theoretical results and programming techniques will be stressed.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5512. Operating Systems. 3 Credit Hours.
Basic principles of operating systems; multi-tasking systems; control and coordination of tasks; deadlocks; synchronization, mutual exclusion, sharing; memory management, virtual memories, segmentation, paging; protection; file systems; resource management; evaluation and prediction of performance; design and implementation of operating systems in high-level languages.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5513. Automata and Formal Languages. 3 Credit Hours.
Types of grammars. Finite automata and regular languages. Kleene's Theorem. Closure properties and decidable problems of regular languages. Derivation trees. Normal forms of context-free grammar. The self-embedding properties, closure properties and decidable problems of context-free languages. Methods of syntax analysis for context-free languages. Context-sensitive languages and linear bounded automata. Turing machines.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5515. Design and Analysis of Algorithms. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5511.
CIS 5516. Principles of Data Management. 3 Credit Hours.
This course covers fundamental concepts in constructing database management systems, including relational query languages, such as SQL and relational algebra, file organizations, storage management, system architectures, query processing, query optimization, transaction management, recovery, and concurrency control. Additional topics may include distributed databases, NoSQL databases and data integration.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5517. Data-Intensive and Cloud Computing. 3 Credit Hours.
This course will expose students to recently emerged and fast moving technology of big data and cloud computing. It will cover a spectrum of topics from core techniques in data management and analysis to highly-scalable data processing using parallel database systems. Students will be introduced to big data ecosystems such as Hadoop, Spark, Storm and MapReduce; cloud technologies such as Amazon EC2, Microsoft Azure and Google Cloud; data management tailored to cloud and big data such as No SQL, Google Big Table/Apache HBase, and introductory applications to Big Data and cloud environment. Students will work directly with a selected set of these platforms, compare and contrast their relative strengths and weaknesses, and characterize the problems they are designed to solve. Note: Students may not receive credit for both CIS 5517 and CIS 4517.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5523. Knowledge Discovery and Data Mining. 3 Credit Hours.
Basic concepts and techniques for the automated extraction of interesting patterns in large databases. Topics covered include: association-rule mining, sequence mining, web and text mining, data warehousing, information filtering, classification and clustering analysis, Bayesian and neural networks, classification and regression trees, hypotheses evaluation, feature extraction, dimensionality reduction, singular value decomposition, data compression and reconstruction, visualization of large data sets, fractals in databases, and indexing methods that support efficient data mining and queries by content. Special emphasis is given in multimedia, business, scientific, and medical databases. Note: Students may not receive credit for both CIS 5523 and CIS 4523.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5524. Analysis and Modeling of Social and Information Networks. 3 Credit Hours.
This course will include methods for analyzing and modeling the following aspects of social networks: the small-world network models, centralized and decentralized social network search algorithms, power-laws and preferential attachment, diffusion and information propagation in social networks, influence maximization in social networks, community detection in social networks, models of network cascades, models of evolving social networks, links and attributes prediction. Note: Students may not receive credit for both CIS 5524 and CIS 4524.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5525. Neural Computation. 3 Credit Hours.
Neural networks provide powerful techniques to model and control nonlinear and complex systems. The course is designed to provide an introduction to this interdisciplinary topic. The course is structured such that students from computer science, engineering, physics, mathematics, statistics, cognitive sciences, and other disciplines learn the main principles of this area as well as have an opportunity to explore promising research topics through hands-on experience with neural network simulators applied to classification and prediction problems ranging from biomedical sciences to finance and business.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5526. Machine Learning. 3 Credit Hours.
The goal of the field of machine learning is to build computer systems that learn from experience and are able to adapt to their environments. This introductory machine learning course will present modern machine learning algorithms for supervised and unsupervised learning. It will provide the basic intuition behind the algorithms as well as a more formal understanding of how and why they work. Students will learn how to apply machine learning algorithms on a range of real-life problems and how to evaluate their performance.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5527. Data Warehousing, Filtering and Mining. 3 Credit Hours.
The course is devoted to information system environments enabling efficient indexing and advanced analyses of current and historical data for strategic use in decision making. Data management will be discussed in the content of data warehouses/data marts; Internet databases; Geographic Information Systems, mobile databases, temporal and sequence databases. Constructs aimed at an efficient online analytic processing (OLAP) and those developed for nontrivial exploratory analysis of current and historical data will be discussed in detail. The theory will be complemented by hands-on applied studies of problems in such fields as financial engineering, e-commerce, geosciences, and bioinformatics.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5528. Predictive Modeling in Biomedicine. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5535. Probabilistic Graph Models. 3 Credit Hours.
Probabilistic graphical models are very important machine learning tools for knowledge representation and reasoning under uncertainty. They have been widely used in machine learning and related fields, such as computer vision, natural language processing, data mining, bioinformatics and even computer network research. This course aims to make a comprehensive introduction over the most important theories, algorithms, and applications of probabilistic graphical models, and facilitate the advanced research within the computer & information sciences department and related disciplines outside.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5538. Text Mining and Language Processing. 3 Credit Hours.
This course will cover a broad overview of problems and techniques in text mining and natural language processing. It will also provide in-depth coverage of the latest natural language processing research in selected topics. The in-depth part of the course will focus on the latest research in unsupervised information extraction. This part of the course will cover such techniques as pointwise mutual information, pattern-matching, bootstrapping, Hidden Markov Models, Conditional Random Fields, and language modeling techniques, among others.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5543. Computer Vision. 3 Credit Hours.
The objective of the course is to introduce the theory and application of computer vision. The theoretic part introduces the analysis of visual patterns and the generative models behind them. The application part uses real world tasks to help students to learn practical computer vision technologies. The course covers the following topics: image formation (camera model, color space, illumination model, etc.), low level vision processing (edge detection, intensity based segmentation, etc.), popular research tools in computer vision, visual matching and registration, visual recognition, image and category classification, scene understanding, object detection, visual tracking, activity and action analysis, and selected advanced topics. In addition to course lectures, the course uses homework assignments, in-class discussions and course projects.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5590. Topics in Computer Science. 3 Credit Hours.
Current topics and issues in Computer Sciences are covered. This course is repeatable for credit.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 5603. Artificial Intelligence. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5617. Computer Networking and Communication. 3 Credit Hours.
Introduction to the design and analysis of computer networks and communications systems, including the Physical, Data Link, Network, Transport and Application layers. The Internet (TCP/IP) model will be emphasized and compared and contrasted with other current technologies. Major themes include the distinction between service and protocol, performance metrics, analysis techniques, and fundamental performance tradeoffs.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5618. Energy Management in Data Centers and Beyond. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Course Attributes: SI
Repeatability: This course may not be repeated for additional credits.
CIS 5635. Security in Cyber-Physical Systems. 3 Credit Hours.
Cyber-Physical Systems (CPS) augment physical systems with monitoring, communication and control capabilities to enhance their efficiency, flexibility, safety, and resilience. The course will start with an overview of these opportunities and challenges and then gradually explore a few physical systems including their monitoring, communications, control, safety, and security requirements, as well as potential attack vectors and solutions.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5636. Ad Hoc Networks. 3 Credit Hours.
A comprehensive approach to fundamentals of ad hoc networks including media access protocols, routing protocols, implementation and communication performance analysis.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5637. Network & Information Security. 3 Credit Hours.
This course introduces fundamental knowledge of cryptography and its applications to network and information security.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5639. Wireless Network and Communication. 3 Credit Hours.
This course introduces the fundamental design and performance issues of wireless networks and communications.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5642. Computer Architecture. 3 Credit Hours.
Since 1951, there have been thousands of new computers using a wide range of technologies and having widely varying capabilities. Dramatic changes that have occurred in just over 50 years. After adjusting for inflation, price/performance has improved by almost 100 billion in 55 years, or about 58% per year. Another way to say it is we've seen a factor of 10,000 improvement in cost and a factor of 10,000,000 improvement in performance. This course covers the recent developments in modern computer architectures and the emerging design methods for high performance computing.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5643. Emerging Storage Systems and Technologies. 3 Credit Hours.
Storage systems are of increasing importance because of ever-growing volume, velocity, and heterogeneity of data produced by a wide variety of computer systems. This course will provide a comprehensive coverage of storage and file systems that underlie bigdata systems with respect to both technological and application related challenges.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5644. Distributed Systems. 3 Credit Hours.
We consider a distributed computer system that consists of multiple autonomous processors that do not share primary memory but cooperate by sending messages over a communication network. Discussion of special problems related to distributed control such as election and mutual exclusion, routing, data management Byzantine agreement, and deadlock handling.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 5701. Introduction to Teaching Computer Science Principles. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in MATH 1021.
CIS 5702. Teaching Advanced Computer Science Principles. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5701.
CIS 5703. Teaching Networked Computing Systems. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5702.
CIS 5704. Teaching the Use of Data, Algorithms, and Creativity for Problem Solving. 3 Credit Hours.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
Pre-requisites: Minimum grade of C in CIS 5702.
CIS 9182. Independent Study. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9190. Seminars in Computer and Information Science. 1 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
College Restrictions: Must be enrolled in one of the following Colleges: Science & Technology.
Repeatability: This course may be repeated for additional credit.
CIS 9282. Independent Study. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9590. Seminar in Advanced Topics in Computer Science. 3 Credit Hours.
Topics to be decided individually.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9601. Computer Graphics and Image Processing. 3 Credit Hours.
An analysis of techniques used in computer manipulation of two- and three-dimensional images. Although elements of computer graphics are covered (e.g., two- and three-dimensional transforms), the main focus is on image processing techniques. We will also gain insight into basic techniques in computer vision. Topics covered include image filters, image segmentation, similarity of images, object detection, object recognition, and shape representation and similarity. Nowadays it is an easy task to transfer visual input of a camera to a computer's memory. However, image and video understanding belong still to unsolved problems of computer science. The main objective of the course is to convey basic intuitions behind the unsolved and solved problems and to introduce some of the techniques that provided solutions to some of the problems.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9602. User Interface Design and Systems Integration. 3 Credit Hours.
This course focuses on the principles of usability engineering to design effective interfaces and as the basis for integrating existing systems to form new systems. The course builds on knowledge of networking, databases, and programming. The course outline is partly based on the recommendations of the ACM Special Interest Group on Computer-Human Interaction for an introductory graduate course on user interface design.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9618. Web Applications Development. 3 Credit Hours.
This course takes a technology-based approach to software engineering of networked application systems design and programming. It draws on new Microsoft .NET technology, together with former object-oriented design and programming, for its theoretical, architectural, and system design foundations. The course bridges software engineering principles in their most abstract and conceptual sense, with programming technique in its most concrete and pragmatic sense. It demonstrates how to optimize productivity of the software engineer, integrate the best that open technologies have to offer, and build large-scale systems that operate most efficiently on the internet. The course is divided into three parts: 1) theory that flows from .NET and object-oriented methodologies, including Application System Architectures, Design Methodologies, Quality Assurance, Scalability, and Security; 2) development of a working skill set in two .NET languages: ASP.NET and VB.NET and its major development tool, VS.NET; and 3) design and programming of a small but complete web-deployed application.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9651. Artificial Intelligence, Heurisitic Models, and Education. 3 Credit Hours.
Introduction to how artificial intelligence and heuristic models are used to build better computer-based educational systems. Current as well as past models are explored (e.g. PROUST, GUIDON, SOAR, etc.). Key issues to be examined include student models, interfaces, pedagogical expertise, domain expertise, and collaborative learning systems.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9665. Advanced Topics in Data Base Systems. 3 Credit Hours.
Survey of recent developments in database systems with an emphasis on object-oriented databases (OODB's). Prototype and operational OODB systems will be analyzed. Applications of OODB's to computer-aided software engineering (CASE) environments, integrated application development environments, and geographical information systems.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9666. Advanced Networks and Client-Server Computing. 3 Credit Hours.
Computer networks, network technology, protocols, routing algorithms, reliability and design issues. Data transmission and transmission media, data communications fundamentals, transmission efficiency, wide-area networks, local area networks, wireless networks, TCP/IP and other protocol architectures, client/server computing, network management, and network security.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9668. Design and Development of E-Commerce Systems. 3 Credit Hours.
This course teaches the technical aspects of developing a commercial website, including the business-to-consumer and business-to-business models. This process combines a number of integrated technologies: Web page and style sheet design; dynamic web pages that access data from relational and XML databases; server side transaction processing; client/server and distributed processing; principles of internet security, scalability, and database reliability; and .NET programming. Students develop a site as a course project using custom coding using .NET and Microsoft's web site development system Commerce Server 2000. Other tools to be used are Dreamweaver or FrontPage for web design, VS for .NET program development, and the Microsoft Enterprise Manager for the management of SQL Server databases.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9669. Distributed and Parallel Computer Systems. 3 Credit Hours.
Intended for students interested in the advances of scalable parallel computing systems. The main goal is to apply distributed and parallel computing theories to practical scalable parallel application development and new parallel programming tool construction.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may not be repeated for additional credits.
CIS 9991. Master's Research Projects. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9994. Preliminary Examination Preparation. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9995. Capstone Project. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9996. Master's Thesis Research. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9998. Pre-Dissertation Research / Elevation to Candidacy. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Repeatability: This course may be repeated for additional credit.
CIS 9999. Dissertation Research. 1 to 6 Credit Hour.
Level Registration Restrictions: Must be enrolled in one of the following Levels: Graduate.
Student Attribute Restrictions: Must be enrolled in one of the following Student Attributes: Dissertation Writing Student.
Repeatability: This course may be repeated for additional credit.