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Non-CSE Courses on a Program of Study

Counting Non-CSE Courses

Programs of Study (i.e. courses that count) for graduate degrees in computer science (M.S. or Ph.D.) or cybersecurity (M.S.) are approved by your Graduate Committee, as being appropriate for the related degree. Naturally, most of the courses on a Program of Study have the CSE prefix. However, a Committee may approve non-CSE courses that they view as being appropriate. Such exceptions are common. There are two major steps for utilizing such courses:

  • Get approval from your major professor prior to registering for any non-CSE course.

Do not assume a non-CSE course will be approved for your degree. If the course is unusual for a computer-science or cybersecurity degree, the major professor may want to get prior approval from your Committee. Prior approval will assure that you are not surprised by disapproval after you take the course. Some programs, like Cybersecurity, already list some pre-approved courses.

  • Always get the permission of the instructor prior to registering for a non-CSE course.

Instructors often waive prerequisites. It is often necessary for a course’s home department to grant you a Prerequisite override or a Major override to allow you to register.

Examples

The following are catalog descriptions of non-CSE courses that might be relevant to a graduate degree in computer science.

  • Subject matter courses in application areas relevant to your thesis or dissertation research
  • Mathematics, statistics, or operations research relevant to thesis or dissertation research.
    • IE 6613 and IE 6623 Eng Statistics I and II (Prerequisite: MA 1723). IE 6613: Three hours lecture. Introduction to statistical analysis. Topics include: probability, probability distributions, data analysis, parameter estimation,statistical intervals, and statistical inferences. IE 6623: (Prerequisite: Grade of C or better in IE 4613). Three hours lecture. Continuation of IE 4613/6613. Introduction to engineering applications of regression, experimental design and analysis, and nonparametric methods.
    • PSY 8214 Quan Meth In Psy II (Prerequisite: PSY 3103). Three hours lecture. Three hours laboratory. Advanced experimental design and methods with emphasis on analysis of variance.
    • SO 8274 and SO 8284 Grad Soc Stat I and II. SO 8274 (Prerequisite: ST 2113 or equivalent). Three hours lecture. Two hours laboratory. Probability, hypothesis testing, tests of means and proportions, contingency table analysis, analysis of variance, bivariate linear regressions correlation; data analysis and interpretation using current statistical software. SO 8284 (Prerequisite: SO 8274). Three hours lecture. Two hours laboratory. Hypothesis testing, analysis of variance, multiple linear regression and correlation, causal models, exploratory factor analysis; data analysis and interpretation using current statistical software.
    • SO 8293 Structural Equations (Prerequisite: SO 8284 or equivalent). Three hours lecture. The application of structural equation modeling techniques to sociological problems containing unobserved variables, focusing on estimation and interpretation of model parameters with errors of measurement.
    • MA various mathematics
    • ST various statistics
    • BQA various data analysis and statistics
    • IE various operations research
  • If your emphasis is Artificial Intelligence
    • PSY 6653 Cognitive Science (cross-listed as CSE 6653) (Prerequisite: CS 4633/6633 or PSY 4713 or PHI 4143/6143 or AN 4623/6623 or EN 4403/6403). Three hours lecture. The nature of human cognition from an interdisciplinary perspective, primarily utilizing a computational model, including insights from philosophy, psychology, linguistics, artificial intelligence, anthropology, and neuroscience. (Same as CS 4653/6653).
    • AEC 8413 Game Theory
  • If your emphasis is Computational Biology/Bioinformatics
    • BCH 6113 Essentials Mol Genetics Three hours lecture. A survey of molecular biology and genetics designed to provide the non-major with a comprehensive background in the field. (Credit will not be given to students matriculating in the Biochemistry or Molecular Biology degree program)
    • ECE various signal processing
  • If your emphasis is Graphics, Visualization, or Human-Computer Interaction
    • ECE special topics in visualization and graphics
    • PSY 6653 Cognitive Science (cross-listed as CSE 6653) (Prerequisite: CS 4633/6633 or PSY 4713 or PHI 4143/6143 or AN 4623/6623 or EN 4403/6403). Three hours lecture. The nature of human cognition from an interdisciplinary perspective, primarily utilizing a computational model, including insights from philosophy, psychology, linguistics, artificial intelligence, anthropology, and neuroscience. (Same as CS 4653/6653).
    • PSY 6743 Psychology of HCI (Prerequisites: PSY 3713 or CS 4663/6663 or IE 4113/6113 or consent of the instructor). Two hours lecture. Two hours laboratory. Exploration of psychological factors that interact with computer interface usability. Interface design techniques and usability evaluation methods are emphasized. (Same as CS 4673/6673 and IE 4123/6123).
    • PSY 8723 Cognitive Skills Models (Prerequisite: Graduate Standing). Three hours lecture. Introduction to cognitive modeling, with a focus on computational models of skill acquisition and expert skill (Same as CS 8613).
    • IE 6113 Human Factors Eng (Prerequisite: Junior standing in engineering). Two hours lecture. Three hours laboratory. Human capabilities and limitations affecting communications and responses in man-machine systems. Emphasis on physiological and psychological fundamentals.
    • IE 8143 Applied Ergo Methods Three hours lecture. Provide practical usage and theoretical background of select tools for ergonomic evaluation of workers and work places, tasks, and environments using real world scenarios.
    • IE 8153 Cognitive Engr Three hours lecture. Implications of human perceputal, cognitive, and psycho-motor capabilities on the design of systems for effective, efficient and safe human-machine performance.
  • If your emphasis is High Performance Computing
    • MA 6313 and MA 6323 Numerical Analysis I and II: MA 6313 (Prerequisites: CSE 1213 or equivalent, MA 3113, and MA 2743). Three hours lecture. Matrix operations; error analysis; norms of vectors and matrices; transformations; matrix functions; numerical solutions of systems of linear equations; stability; matrix inversion; eigen value problems; approximations. MA 6323 (Prerequisites: CSE 1213 or equivalent. MA 3113 and MA 3253) Three hours lecture. Numerical solution of equations; error analysis; finite difference methods; numerical differentiation and integration; series expansions; difference equations; numerical solution of differential equations.
    • ASE 6433 Fundamentals of Numerical Grid Generation (Prerequisite: Consent of instructor). Three hours lecture. Grid Generation strategies; effects of grid quality on discetization errors; structured and unstructured grid generation algorithms; solution adaptive grid generation; surface grid generation.
    • CME 8113 Computational Geometry (Prerequisite: consent of instructor). Three hours lecture. Computer aided geometric design techniques and their applications in engineering and general computational field simulation.
    • ECE various computer engineering
    • CME various computational engineering
    • ECE various remote sensing
  • If your emphasis is Computer Security or Forensics
    • BIS 6113 BIS Security Management (Prerequisite: BIS 3233 or grade of B or higher in any 3 hours of computer-related coursework ). Three hours lecture. Concepts, skills, tools and techniques involved in management of computer security as it applies to today’s business environment.
    • BIS various computer security
    • ECE various computer security
    • SO 6253 White Collar Crime (Prerequisites: SO 1003 and CRM 1003 or consent of instructor). Three hours lecture. An overview of the sociological and criminological literature in the area defined as ‘White Collar Crime’ (Same as CRM 4253/6253).
    • SO 6523 Law and Society (Prerequisites: SO 1003 and CRM 1003 or consent of instructor). Three hours lecture. Explores the social origins of law and how law can both maintain social order and bring about social change (Same as CRM 4523/6523).
    • SO special topics on computer-related crime
  • If your emphasis is Software Engineering
    • PSY 6653 Cognitive Science (cross-listed as CSE 6653) (Prerequisite: CS 4633/6633 or PSY 4713 or PHI 4143/6143 or AN 4623/6623 or EN 4403/6403). Three hours lecture. The nature of human cognition from an interdisciplinary perspective, primarily utilizing a computational model, including insights from philosophy, psychology, linguistics, artificial intelligence, anthropology, and neuroscience. (Same as CSE 4653/6653).
    • IE 6533 Project Mgt (Prerequisites: Grade of C or better in IE 4613). Three hours lecture. Use of CPM, PERT, and GERT for planning, managing and controlling projects. Computer procedures for complex networks.
    • IE 6753 Systems Engr & Analysis (Prerequisite: Grade of C or better in IE 3913 and IE 4613). Three hours lecture. Systems concepts, methodologies, models and tools for analyzing, designing, and improving new and existing human-made systems.
    • IE 8583 Enterprise Systems Engineering (Prerequisite: Consent of instructor). Three hours lecture. Focuses on the design and improvement of an enterprise through the use of engineering tools and methods, based on the systems perspective of industrial engineering.
    • BIS 6533 Decision Support Systems (Prerequisites: BIS 3233 or equivalent). Three hours lecture. Theory and application of decision support, businesss intelligence, integrated collaboration systems, and date mining using advanced computing techniques. Hands-on experience in developing decision support systems.
  • If you need certification of training in Responsible Conduct of Research. One of these may be attractive for students involved in research, even though it is not relevant to a Program of Study, especially research sponsored by NSF or NIH.
    • PHI 8101 Case Studies Res Ethics. One hour seminar. Practical application of research ethics using case scenarios to direct discussions on data ownership, plagiarism, authorship, conflict of interest, and other regulatory compliance related issues.
    • CVM 8101 Case Studies Res Ethics One hour seminar. Practical application of research ethics using case scenarios to direct discussions on data ownership plagiarism, authorship, conflict of interest, and other regulatory compliance related issues. This emphasizes medical and biological case studies in contrast to PHI 8101.