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M.S. in Computer Science 2006

 
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The Master of Science in Computer Science is the most technical of CTI's master’s programs. The courses in the Prerequisite Phase and Core Knowledge Phase focus on the foundations and fundamentals of programming languages, and the theoretical underpinnings of computer science. As part of the Advanced Phase, students get a breadth of training in traditional areas of computer science by taking one course each in Foundations, Computer Systems, and Database Systems. The remainder of the Advanced Phase gives students a great deal of flexibility. A student may choose to focus in a specific area by taking many courses in one area of computer science or from one of the other degree programs in CTI. Or, they may achieve a breadth of knowledge across many areas by selecting courses from a variety of areas. This degree is appropriate for students who wish to pursue a technical career in any of a number of areas of computer science, or for students who may wish to pursue a Ph.D. degree in the future.

The program follows a three-phase sequence, with each phase preparing the student for the subsequent phase. The master's degree program consists of:

Upon acceptance into the masters degree program, the student will meet with their faculty advisor to discuss required courses for the Prerequisite Phase. The Prerequisite Phase is intended to ensure that all students enter graduate courses with an equivalent background. While completing this phase, a student is considered a conditionally admitted masters student. In the Core Knowledge phase, a student will follow a sequence of courses to acquire an understanding of the technological and theoretical foundations for the particular degree. In the Advanced Phase of the program, the fundamental information learned previously allows a student to study advanced topics within their chosen degree. This phase adds depth to the work completed in the Core Knowledge Phase. Individual interests and needs are also addressed through a series of elective courses chosen in consultation with the student's faculty advisor.

Grade and GPA requirements

Grades: Students must receive a grade of B- or better in each prerequisite course and a C- or better in all other courses. 

GPA: Students must maintain a graduate level GPA of 2.50 or higher while pursuing their degree. Students will not be approved for graduation with less than a 2.50 GPA. Students with a GPA of 3.90 or higher will graduate with distinction.

Prerequisite Phase

The courses in the Prerequisite Phase for the MS in Computer Science are:

Offered Winter 
In classOnline 
     CSC 211 Programming in Java I  Self Placement Test Available! 
     and  CSC 212 Programming in Java II   
     or  CSC 224 Java for Programmers   
         or  CSC 396 Programming in Java I and II   
     CSC 309 Object-Oriented Programming in C++   
     or  CSC 261 Programming in C++ I   
     and  CSC 262 Programming in C++ II   
     CSC 373 Computer Systems I   
     CSC 374 Computer Systems II   
     CSC 383 Data Structures and Algorithms in Java   
 

By taking these courses and receiving a grade of a B- or better in each, the student will have completed the requirements of the Prerequisite Phase. All or part of the Prerequisite Phase may be waived if a student has the equivalent academic background. Alternatively, students with practical experience may complete a Graduate Assessment Examination (GAE) to show competency in a prerequisite.  All students are blocked from enrolling in Core Knowledge Phase courses prior to completing their prerequisites. The student must submit an online Change of Status request when the Prerequisite Phase is completed to inform the Student Services offices that the block can be removed. The online request must be submitted two weeks before the student intends to register for graduate level classes. The student will then be considered a fully admitted student, and may pass to the Graduate Phase of the program. Students may submit the Change of Status request by logging in to MyCTI.

Core Knowledge Phase

Core Knowledge Courses

Fully admitted students in the Core Knowledge phase may register for a maximum of four Advanced phase courses.  The Core Knowledge Phase courses for the MS in Computer Science are:

Offered Winter 
In classOnline 
         CSC 447 Concepts of Programming Languages   
         CSC 491 Applied Algorithms and Structures   
     SE 450 Object-Oriented Software Development   
 

Advanced Phase

One course in each of the following areas: Foundations, Computer Systems, Database Systems

Four additional courses from the areas above or Artificial Intelligence, Computer Vision, Data Analysis, Computer Graphics, Software Engineering, Security, Network Technologies, two of which must be 500-level. Courses are grouped into different areas below for your convenience. A student may concentrate in one area by taking all 4 courses from the same area, or may wish to take courses from a variety of areas.

Three elective courses. Students must choose three graduate level elective courses from the School of CTI. Elective courses are in the range of 420-699.

Overall, at least four 500-level courses.

There is a research option for this degree as well.

Database Systems Area

Offered Winter 
In classOnline 
         CSC 449 Database Technologies   
     CSC 451 Database Design   
     CSC 452 Database Programming   
     CSC 454 Database Administration and Management   
         CSC 549 Database System Implementation   
         CSC 550 Object-Oriented Databases   
         CSC 551 Distributed Database Systems   
     CSC 553 Advanced Database Concepts   
         CSC 589 Topics in Database   
         DS 575 Intelligent Information Retrieval   
         CSC 543 Spatial Databases and Geographic Information Systems   
 

Foundations Area

Offered Winter 
In classOnline 
         CSC 444 Automata Theory and Formal Grammars   
     CSC 448 Compiler Design   
         CSC 503 Parallel Algorithms   
         CSC 504 Parallel Processing   
         CSC 535 Formal Semantics of Programming Languages   
         CSC 541 Introduction to Proteomics   
         CSC 542 Research Practicum in Computational Biology   
     CSC 489 Theory of Computation   
         CSC 547 Advanced Topics in Program Languages   
         CSC 548 Advanced Compiler Design   
         CSC 531 Introduction to Bioinformatics   
         DS 591 Distributed Algorithms   
         SE 580 Design of Object-Oriented Languages   
         SE 590 Advanced Topics in Object Oriented Technology   
 

Computer Systems Area

Offered Winter 
In classOnline 
         CSC 545 Advanced Computer Organization   
         CSC 546 Operating Systems Design   
         DS 420 Distributed Systems I   
         DS 421 Distributed Systems II   
         DS 520 System Design and Implementation with Distributed Object Frameworks   
         DS 594 Distributed Systems Project   
         DS 599 Topics in Distributed Systems   
         SE 540 Software Development for Mobile and Wireless Systems   
         SE 542 Software Development for Limited and Embedded Devices   
         SE 550 Distributed Software Development   
         SE 552 Concurrent Software Development   
     TDC 561 Network Programming   
 

Artificial Intelligence Area

Offered Winter 
In classOnline 
         CSC 457 Expert Systems   
         CSC 458 Symbolic Programming   
         CSC 480 Foundations of Artificial Intelligence   
     CSC 578 Neural Networks and Machine Learning   
         CSC 587 Cognitive Science   
         CSC 594 Topics in Artificial Intelligence   
         DS 575 Intelligent Information Retrieval   
 

Computer Vision Area

Offered Winter 
In classOnline 
         CSC 481 Introduction to Image Processing   
         CSC 498 Digital Signal Processing   
         CSC 538 Vision Systems   
     CSC 482 Applied Image Analysis   
         CSC 584 Computer Vision   
         CSC 592 Topics in Computer Vision and Pattern Recognition   
 

Data Analysis Area

Offered Winter 
In classOnline 
         CSC 423 Data Analysis and Regression   
         CSC 424 Advanced Data Analysis   
         CSC 428 Data Analysis for Experimenters   
         CSC 521 Monte Carlo Algorithms   
     CSC 578 Neural Networks and Machine Learning   
         CSC 598 Topics in Data Analysis   
         ECT 584 Web Data Mining for Business Intelligence   
         SE 468 Software Measurement/Project Estimation   
         SE 567 Software Reliability   
 

Computer Graphics Area

Offered Winter 
In classOnline 
         GPH 436 Fundamentals of Computer Graphics   
       GPH 438 Computer Animation Survey   
         GPH 448 Computer Graphics Scripting   
       GPH 469 Computer Graphics Development   
         GPH 470 Survey of Computer Graphics   
         GPH 536 Smooth Surface Modeling for Graphics and Animation   
         GPH 539 Advanced Rendering Techniques   
         GPH 560 Modeling Spaces   
         GPH 570 Visualization   
         GPH 572 Principles of Computer Animation   
         GPH 574 Computer Games   
         GPH 575 Advanced Graphics Development   
       GPH 595 Topics in Graphics   
 

Software Engineering Area

Offered Winter 
In classOnline 
         SE 427 Software Quality Management   
     SE 430 Object Oriented Modeling   
         SE 431 Model-Driven Software Development   
         SE 433 Software Testing and Quality Assurance   
     SE 452 Object-Oriented Enterprise Computing   
         SE 465 Software Engineering Principles   
         SE 468 Software Measurement/Project Estimation   
         SE 469 Software Safety   
     SE 470 Software Development Processes   
         SE 472 Personal Software Process   
     SE 477 Software and Systems Project Management   
         SE 480 Software Architecture   
         SE 482 Requirements Engineering   
     SE 529 Software Risk Management   
         SE 531 Formal Software Specifications and Development II   
         SE 533 Software Validation and Verification   
         SE 546 Software Architecture and Design for Desktop Applications   
         SE 554 Enterprise Component Architecture   
         SE 558 Architecture and Design for Multiplayer Games   
         SE 560 Structured Document Interchange and Processing   
         SE 571 Software Maintenance   
 

Security Area

Offered Winter 
In classOnline 
     CSC 440 Cryptology   
         DS 420 Distributed Systems I   
         DS 421 Distributed Systems II   
         ECT 582 Secure Electronic Commerce   
     IS 511 Social Issues of Computing   
     IS 433 Information Security Management   
         SE 473 Security Architecture I   
         SE 547 Foundations of Computer Security   
         SE 573 Security Architecture II   
         TDC 511 Telecommunications Practicum   
         TDC 562 Computer-Communication Network Design and Analysis   
     TDC 563 Protocols and Techniques for Data Networks   
         TDC 572 Network Security   
 

Network Technologies Area

Offered Winter 
In classOnline 
         TDC 432 Computer and Information Systems Modeling   
     TDC 460 Foundations of Communications Systems   
     TDC 463 Computer Networks and Data Systems   
     TDC 464 Voice Communication Networks   
         TDC 489 Queuing Theory with Computer Application   
         TDC 511 Telecommunications Practicum   
         TDC 512 Cellular and Wireless Telecommunications   
         TDC 513 Client/Server Technologies   
         TDC 514 Computer Telephony   
     TDC 561 Network Programming   
         TDC 562 Computer-Communication Network Design and Analysis   
     TDC 563 Protocols and Techniques for Data Networks   
         TDC 564 Local Area Networks   
         TDC 565 Voice and Data Integration   
     TDC 566 Broadband Access Technologies   
         TDC 568 Network Management   
         TDC 572 Network Security   
         TDC 573 Multimedia Networking   
 

Masters Research Option

Students interested in a more in-depth study of a particular area can choose to work with a faculty member (not necessarily their academic advisor) on a research project. This option can be satisfied by taking the course CSC 696 (Masters Project) at least twice, each time for 4 credits. The Masters research option will replace one elective and one of the 4 required area courses. Students who choose this option must successfully complete the Core Knowledge courses prior to their first enrollment in CSC 696. The research project must represent an original contribution to the area, and may include system development, empirical studies, or theoretical work. The scope and the details of the research project will be determined by the research supervisor, and must be approved by the student's academic advisor. At the end of the two quarters, the student must submit a technical report detailing the results of the research project. This report must be approved by the student's research supervisor and the faculty advisor, at which point it will be made available to the public as a CTI Departmental Technical Report.

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Last Modified: Tuesday May 26, 2009