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Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Software Engineering
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program

Program Overview


University Programs

The university offers a range of programs in the field of computer science and engineering. The following programs are available:


High Performance Computing

  • CME 8113 Computational Geometry: 3 hours.
    • Prerequisite: consent of instructor
    • Three hours lecture
    • Computer-aided geometric design techniques and their applications in engineering and general computational field simulation

Computer Science Programs

  • CSE 6163 Designing Parallel Algorithms: 3 hours
    • Prerequisites: Grade of C or better in CSE 3183
    • Three hours lecture
    • Techniques for designing algorithms to take advantage efficiently of different parallel architectures
  • CSE 6214 Introduction to Software Engineering: 4 hours
    • Prerequisite: CSE 2383 with a grade of C or better
    • Three hours lecture, two hours laboratory
    • Introduction to software engineering; planning, requirements, analysis and specification, design; testing; debugging; maintenance; documentation
  • CSE 6233 Software Architecture and Design Paradigms: 3 hours
    • Prerequisite: Grade of C or better in CSE 4214/6214
    • Three hours lecture
    • Topics include software architectures, methodologies, model representations, component-based design, patterns, frameworks, CASE-based designs, and case studies
  • CSE 6283 Software Testing and Quality Assurance: 3 hours
    • Prerequisite: Grade of C or better in CSE 4214/6214
    • Three hours lecture
    • Topics include methods of testing, verification and validation, quality assurance processes and techniques, methods and types of testing, and ISO 9000/SEI CMM process evaluation
  • CSE 6753 Foundations in Computation: 3 hours
    • Prerequisite: CSE 1213 or CSE 1233 or CSE 1273 or CSE 1284 with a grade of C or better, or permission of instructor
    • Three hours lecture
    • Foundational concepts of computational algorithm design and analysis
    • Note: No credit for students in Computer Science, Computer Engineering, or Software Engineering degree programs
  • CSE 6833 Introduction to Analysis of Algorithms: 3 hours
    • Prerequisites: CSE 2383 and CSE 2813 with a grade of C or better
    • Three hours lecture
    • Study of complexity of algorithms and algorithm design
  • CSE 8273 Software Requirements Engineering: 3 hours
    • Prerequisites: CSE 4214/6214 with a grade of C or better
    • Three hours lecture
    • An in-depth study of current research and practice in requirements elicitation, requirements analysis, requirements specification, requirements verification and validation, and requirements management
  • CSE 8833 Algorithms: 3 hours
    • Prerequisites: CSE 4833/6833
    • Three hours lecture
    • Advanced techniques for designing and analyzing algorithms, advanced data structures, case studies, NP-completeness including reductions, approximation algorithms
  • CSE 8843 Complexity of Sequential and Parallel Algorithms: 3 hours
    • Prerequisite: CSE 4833/6833
    • Three hours lecture
    • Complexity of sequential algorithms, theory of complexity, parallel algorithms
  • CSE 9133 Topics in High Performance Computing: 3 hours
    • Prerequisite: Consent of Instructor
    • Three hours lecture
    • Reading and study of current work related to the area of high performance computing
    • Note: Intended for doctoral students, may be taken for credit more than once

Electrical and Computer Engineering Programs

  • ECE 6713 Computer Architecture: 3 hours
    • Prerequisites: Grade of C or better in ECE 3724
    • Three hours lecture
    • Detailed design and implementation of a stored-program digital computer system
  • ECE 8063 Parallel Computer Arch I: 3 hours
    • Prerequisite: ECE 4713/6713/ CS 4113/6113
    • Three hours lecture
    • Study of hardware structures relevant to concurrent computing; evaluation and design methods associated with memory, pipelining, and multiple processors
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