MS in Computer Science 1999

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

• Prerequisite Phase
• Core Knowledge Phase
• Advanced Phase

Upon acceptance into the master’s 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 master’s 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.

Prerequisite Phase

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 a Change of Status request when the Prerequisite Phase is completed to inform the Student Services offices that the block can be removed. The form 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 Core Knowledge Phase of the program.

Core Knowledge Phase

Core Knowledge Courses

Students must complete the Prerequisite Phase before beginning the Core Knowledge Phase. However, while completing the Prerequisite Phase courses, students may take Core Knowledge Phase courses with consent of their faculty advisor. Fully admitted students in the Core Knowledge Phase may register for a maximum of four Advanced Phase courses prior to passing the Core Knowledge Examination. A student must receive a grade of C- or better in each of the Core Knowledge Phase courses, and also in subsequent courses in the degree program. The Core Knowledge Phase courses for the MS in Distributed Systems are:

Core Knowledge Examination

This examination covers the subject matter of the Core Knowledge Phase courses. Students take this examination following successful completion of the Core Knowledge Phase course requirements. The Core Knowledge Examination is offered three times during the academic year. Students are allowed at most two attempts at this examination. Two failures result in dismissal from the graduate program. Possible grades on the Core Knowledge Examination are Pass, Fail and Pass with Distinction. Students who pass the Core Knowledge Examination with distinction and maintain a 3.75 grade point average graduate with distinction.

The student must submit a written application three months before taking the Core Knowledge Examination. A student must finish the Prerequisite Phase in order to be eligible for the Core Exam. There is no charge for the Core Exam.

Advanced Phase

The Advanced Phase consists of ten courses. At least four of these courses must be designated as Level II courses. The ten courses are as follows:

Four courses from a Primary Concentration.

(at least two of which are designated as Level II courses).

Three courses from a Secondary Concentration.

The Primary and Secondary Concentrations are chosen form the list below. If the same course is listed in two concentrations, it may only count toward fulfilling the course requirements of one concentration.

Three elective courses.

Primary Concentrations

Artificial Intelligence Concentration

Artificial Intelligence Concentration is the study of computational models of intelligence. AI researchers split roughly into two camps: those concerned with forming models of human cognitive behavior that are computational; and those who wish to make computers perform tasks requiring intelligence for humans to perform, without necessarily simulating human mechanisms. The techniques

used in both camps may be either symbolic in nature or more directly modeled on neural computation. No matter the approach, researchers also develop languages and tools to support the development of the complex software systems realizing these models. The AI concentration covers all these approaches, with a particular emphasis on applying the languages, tools and techniques of AI to such areas as planning, natural language processing, vision, knowledge representation, learning, neural nets, cognitive modeling, and expert systems.

Level I

Level II

Computer Graphics Concentration

Computer Graphics Concentration encompasses synthetic imaging, animation, computer-aided design, visualization and the technology of interactive techniques. Synthetic imaging includes such techniques as raytracing, while animation covers both physically-based and character-based motion. Computer-aided design helps industry to visualize entities (buildings, airplanes) that do not yet exist while visualization helps people to comprehend large datasets. A concentration in Computer Graphics prepares students for work in the dynamic and rapidly changing areas of industry involving computer graphics, such as animation, CAD/CAM, graphical user interface development and gaming. Computer Graphics has close ties with computer vision, human-computer interaction, and distributed computing.

Level I

Level II

Computer Vision Concentration

Computer Vision Concentration deals with the study of data structures, algorithms and hardware for processing visual information. It include traditional areas such as robot vision, signal and image processing, and pattern recognition, and newer areas such as graphical user interfaces and scientific visualization. Completion of the Computer Vision concentration can led to career in the development of vision systems for robotic devices, working with the bar code or document scanners, or analyzing X-rays and other medical images. Students interested in the computer vision concentration should also consider taking courses in related areas such as computer graphics, graphical user interfaces, and distributed computing.

Level I

Level II

Data Analysis Concentration

Data Analysis Concentration is the study of how to describe and model numerical data, how to encode these models using software tools, and how to interpret and report the results. The core courses provide students with the fundamentals of both computer science and data analysis. Students complete their program by choosing from a wide variety of related topics including artificial intelligence, database, data communications, formal methods, genetic algorithms, graphics, machine learning, multimedia, neural networks, numerical analysis, operation research, pattern recognition, queuing theory, simulation, software measurement, software reliability, and visual computing. The program is especially suited to students with an interest in quantitative topics with an applied rather than theoretical emphasis complemented with a firm grounding in computing.

Level I

Level II

Database Systems Concentration

Database Systems Concentration studies data modeling, database management systems (DBMS) and database application development. The curriculum includes three required database courses focusing on the relational database technology, database design and database programming. Students may choose from advanced database courses covering distributed and client/server databases, object-oriented databases, and many other advanced database technologies and applications. This concentration would be appropriate for anyone seeking a career in database administration, database design, database application development, and DBMS development. The concentration also provides an excellent foundation for advanced graduate study.

Level I

Level II

Data Communications Concentration

Data Communications Concentration is the study of traditional computer systems and software development. Students choose from a variety of courses in data communications protocols and networking. This concentration would be appropriate for anyone seeking a career in network software development, integration of network projects into existing system applications, or other work in a traditional computer center that uses networks.

Level I

Level II

Systems Foundations Concentration

Systems Foundations Concentration is a concentration for students who desire current, advanced broad base technical work in computing technology. This is a flexible program that may be customized to the students’ particular needs and interests. This concentration also provides the foundation necessary to pursue a Ph.D.

Level I

Level II

Secondary Concentrations:

The following Concentrations from other divisions of CTI may be selected for a secondary concentration only:

Distributed Systems Concentration

Level I

Level II

Human-Computer Interaction Concentration

Level I

Level II

Information Systems Concentration

Level I

Level II

Software Engineering Concentration

Level I

Level II

Elective Courses

Three elective courses must be completed. When choosing electives, keep in mind that four Level II courses (at least two of which will have been completed in the primary concentration) must be completed in order to graduate.

Elective Course Restrictions
Elective courses are in the range of 420-699 and must be from the school of CTI. Credit for courses taken outside of the school will only be given if approved by a faculty advisor. Courses suggested for any Prerequisite Phase in any concentration do not count for elective credit. Any course required for the student’s concentration but taken as part of the requirements of another degree earned by the student may be waived, but cannot be used for elective credit.