600
Applications of computer information systems to support business plans and decision making, collection and distribution of information in an organization, role of information systems manager. Does not count for the MS in Computer Science. This course may be offered in an online format.
Credits
3(3-0)
Prerequisites
None.
Corequisites
None.
Advanced topics in software engineering. Developing a large software system using modern software engineering techniques including object- oriented programming and CASE tools. Prerequisite: Admission to the MS in Computer Science Program.
Credits
3(3-0)
Prerequisites
Admission to the MS in Computer Science Program
Corequisites
None.
Overview of the software engineering process, software project organization and management issues, software project economics, software configuration management, software operations issues. Does not count for the MS in Computer Science. This course may be offered in an online format.
Credits
3(3-0)
Prerequisites
None.
Corequisites
None.
A non-credit course intended for students who have completed all program credits but still need to use university resources to complete their degree requirements.
Credits
1(1-0)
Prerequisites
None.
Corequisites
None.
Conceptual models, relational theory, access methods, query optimization, concurrency, recovery, integrity and data warehousing. Selected current topics, e.g., distributed, object-oriented, and NoSQL databases. Prerequisite:
CPS 541.
Credits
3(3-0)
Prerequisites
CPS 541
Corequisites
None.
Automata theory, context-free languages, syntax analysis and parsing techniques. Semantic processing for structured and/or object-oriented programming languages. Code generation and optimization. Prerequisite:
CPS 450.
Credits
3(3-0)
Prerequisites
CPS 450
Corequisites
None.
Introduction to search, knowledge representation, Machine learning, neural networks, evolutionary and bio-inspired computation techniques, Intelligent agents, and expert systems. Prerequisite:
CPS 542.
Credits
3(3-0)
Prerequisites
CPS 542
Corequisites
None.
Pattern modeling and recognition. Data mining concepts and techniques including association rules, classification, clustering, outliers, text mining, and trend analysis. Data mining applications. Prerequisites:
CPS 410 or
STA 584.
Credits
3(3-0)
Prerequisites
CPS 410 or STA 584
Corequisites
None.
Overview of professional practice and current research areas in computer science. Design, development and presentation of a research project proposal. Technical communication and writing. Prerequisites: 6 graduate credit hours in CPS or ITC.
Credits
3(3-0)
Prerequisites
6 graduate credit hours in CPS or ITC
Corequisites
None.
Professional field experience via internship or apprenticeship. Must be integral to the student's program of study. Does not count towards a degree in Computer Science. CR/NC only. Prerequisites: permission of graduate advisor or department chairperson.
Credits
1-6(Spec)
Prerequisites
permission of graduate advisor or department chairperson
Corequisites
None.
Selected topics in computer science not otherwise available in a course regularly offered. Topic(s) are listed in Course Search and Registration. Repeatable up to 6 credits when content does not duplicate previous special topic studies. Pre/Co-requisite: See Course Search and Registration. Determined by the specific topics presented.
Credits
1-6(Spec)
Prerequisites
See Course Search and Registration. Determined by the specific topics presented
Corequisites
None.
Exploration of topics in Computer Science agreed upon by student and instructor. May be taken for credit more than once, total credit not to exceed six hours. Prerequisite: Permission of instructor.
Credits
1-6(Spec)
Prerequisites
Permission of instructor
Corequisites
None.