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Program Requirements

General Program Requirements:
Number of Credits Required Beyond the Baccalaureate: 36

Required Courses:

Course List

Code	Title	Credit Hours
Track-Specific Courses 1		24
Research Preparation Courses
Select 6 credits from the following:		6
颁滨厂听9182	Independent Study
颁滨厂听9282	Independent Study
Graduate-level course aligned with the student's research area 2
Research Courses		6
颁滨厂听9994	Preliminary Examination Preparation
颁滨厂听9998	Pre-Dissertation Research / Elevation to Candidacy
颁滨厂听9999	Dissertation Research
Total Credit Hours		36

¹

Required and elective courses are identified in the course lists below for each of the four tracks: Artificial Intelligence and Applications, Computer and Network Systems, Information Systems, and Software Systems.

²

Course selection requires approval from the faculty advisor and Graduate Committee.

Artificial Intelligence and Applications Track

Course List

Code	Title	Credit Hours
Core Courses
Select at least four courses from the following:		12-18
颁滨厂听5511	Programming Techniques
颁滨厂听5515	Design and Analysis of Algorithms
颁滨厂听5525	Neural Computation
颁滨厂听5526	Machine Learning
颁滨厂听5543	Computer Vision
颁滨厂听5603	Artificial Intelligence
Additional Track-Specific Courses
Select at most four courses from the following:		12-6
颁滨厂听5516	Principles of Data Management
颁滨厂听5517	Data-Intensive and Cloud Computing
颁滨厂听5523	Knowledge Discovery and Data Mining
颁滨厂听5528	Predictive Modeling in Biomedicine
颁滨厂听5538	Text Mining and Language Processing
颁滨厂听5617	Computer Networking and Communication
颁滨厂听5637	Network & Information Security
颁滨厂听5590	Topics in Computer Science
颁滨厂听9590	Seminar in Advanced Topics in Computer Science
颁滨厂听9665	Advanced Topics in Data Base Systems
Total Credit Hours		24

Computer and Network Systems Track

Course List

Code	Title	Credit Hours
Core Courses
Select at least four courses from the following:		12-18
颁滨厂听5511	Programming Techniques
颁滨厂听5512	Operating Systems
颁滨厂听5515	Design and Analysis of Algorithms
颁滨厂听5617	Computer Networking and Communication
颁滨厂听5637	Network & Information Security
颁滨厂听5642	Computer Architecture
Additional Track-Specific Courses
Select at most four courses from the following:		12-6
颁滨厂听5523	Knowledge Discovery and Data Mining
颁滨厂听5526	Machine Learning
颁滨厂听5603	Artificial Intelligence
颁滨厂听5636	Ad Hoc Networks
颁滨厂听5639	Wireless Network and Communication
颁滨厂听5644	Distributed Systems
颁滨厂听5517	Data-Intensive and Cloud Computing
颁滨厂听5590	Topics in Computer Science
颁滨厂听5635	Security in Cyber-Physical Systems
颁滨厂听5643	Emerging Storage Systems and Technologies
颁滨厂听5618	Energy Management in Data Centers and Beyond
颁滨厂听9665	Advanced Topics in Data Base Systems
颁滨厂听9669	Distributed and Parallel Computer Systems
Total Credit Hours		24

Information Systems Track

Course List

Code	Title	Credit Hours
Select a minimum of one and up to three theory courses from the following:
颁滨厂听5511	Programming Techniques
颁滨厂听5515	Design and Analysis of Algorithms
厂罢础罢听8003	Statistical Methods and Concepts
Select a minimum of one and up to three systems courses from the following:
颁滨厂听5512	Operating Systems
颁滨厂听5516	Principles of Data Management
颁滨厂听5517	Data-Intensive and Cloud Computing
颁滨厂听5617	Computer Networking and Communication
颁滨厂听5637	Network & Information Security
颁滨厂听5644	Distributed Systems
Select a minimum of two and up to four track-specific courses from the following:
颁滨厂听5523	Knowledge Discovery and Data Mining
颁滨厂听5524	Analysis and Modeling of Social and Information Networks
颁滨厂听5525	Neural Computation
颁滨厂听5526	Machine Learning
颁滨厂听5528	Predictive Modeling in Biomedicine
颁滨厂听5590	Topics in Computer Science
颁滨厂听5603	Artificial Intelligence
颁滨厂听9590	Seminar in Advanced Topics in Computer Science
颁滨厂听9665	Advanced Topics in Data Base Systems
Total Credit Hours		24

Software Systems Track

Course List

Code	Title	Credit Hours
Core Courses
Select at least four courses from the following:		12-18
颁滨厂听5511	Programming Techniques
颁滨厂听5512	Operating Systems
颁滨厂听5515	Design and Analysis of Algorithms
颁滨厂听5516	Principles of Data Management
颁滨厂听5617	Computer Networking and Communication
颁滨厂听5637	Network & Information Security
Elective
Select at most four courses from the following:		12-6
颁滨厂听5517	Data-Intensive and Cloud Computing
颁滨厂听5523	Knowledge Discovery and Data Mining
颁滨厂听5525	Neural Computation
颁滨厂听5526	Machine Learning
Total Credit Hours		24

Additional Requirement:
PhD Qualifying Examination:
The Qualifying Examination tests the student on the fundamentals of Computer and Information Science and the basic body of knowledge in a track. It consists of a written exam on theory and algorithms, systems, and track-specific material. The Qualifying Exam is offered twice a year, usually in late January and late June.

Culminating Events:
Preliminary Examinations:
The goal of the preliminary examinations is to test the research skills and knowledge of the student and the appropriateness and feasibility of the proposed research. The exams are completed in two stages:

• Prelim I consists of written and oral components testing advanced track knowledge and in-depth knowledge of the research area. It includes a literature review of the area. This preliminary exam is used to determine whether the student needs to take additional courses in order to support research in the chosen area. Prelim I is open only to the Doctoral Advisory Committee and members of the department. It is to be taken within one year of passing the PhD Qualifying Examination.
• Prelim II consists of written and oral components to assess the appropriateness of the research, including approach and methodology. It is designed to ensure that the selected research problem is of reasonable scope and significance and that the proposed dissertation is feasible. The written portion of Prelim II should be of sufficient quality to be publishable as a department technical report. This exam is open to the public.

The Doctoral Advisory Committee evaluates the preliminary examinations. Each member votes to pass or fail the student. In order to pass, a majority of the committee members must agree that the exam has been satisfactorily completed. Successful completion of the preliminary examinations produces a written understanding among the student, faculty advisor and Doctoral Advisory Committee, specifying the work to be done to obtain final approval of the dissertation.

Students who are preparing to do their preliminary examinations should confirm a time and date with the Chair of their Doctoral Advisory Committee and register with the Administrative Coordinator one month prior to the date. The student and Chair receive confirmation of the time, date and room of the examination.

Dissertation Proposal:
The dissertation proposal demonstrates the student's knowledge of and ability to conduct the proposed research. The proposal should consist of:

1. the context and background surrounding a particular research problem;
2. an exhaustive survey and review of literature related to the problem; and
3. a detailed methodological plan for investigating the problem.

The proposal should be finished and approved no more than one year after completing coursework. Upon approval, a timeline for completing the investigation and writing process are established.

Dissertation:
The doctoral dissertation is an original empirical study that makes a significant contribution to the field of Computer and Information Science. It should expand the existing knowledge and demonstrate the student's knowledge of research methods and a mastery of their primary area of interest. Dissertations should be rigorously investigated; uphold the ethics and standards of the Computer and Information Science field; demonstrate an understanding of the relationship between the primary area of interest and the broader field of Computer and Information Science; and be prepared for publication in a professional journal.

The Doctoral Advisory Committee is formed to oversee the student's doctoral research and is comprised of at least three Graduate Faculty members. Two members, including the Chair, must be from the Department of Computer and Information Sciences. Committee compositions must be approved by the CIS Graduate Committee. The Chair is responsible for overseeing and guiding the student's progress, coordinating the responses of the committee members, and informing the student of their academic progress.

The Dissertation Examining Committee evaluates the student's dissertation and oral defense. This committee is comprised of the Doctoral Advisory Committee and at least one additional Graduate Faculty member from outside the Department of Computer and Information Sciences. The Outside Examiner should be identified no later than the beginning of the term in which the student will defend the dissertation. The committee evaluates the student's ability to express verbally their research question, methodological approach, primary findings and implications. The committee votes to pass or fail the dissertation and the defense at the conclusion of the public presentation.

If a student needs to change a member of a committee, the new member must be approved by the CIS Graduate Committee and registered with the Administrative Coordinator and the Graduate School.

Students who are preparing to defend their dissertation should confirm a time and date with their Doctoral Advisory Committee and register with the Administrative Coordinator at least 30 days before the defense is to be scheduled. The student and Chair receive confirmation of the time, date and room for the examination.

The Administrative Coordinator sends the Graduate School a completed "Announcement of Dissertation Defense" form, found in TUportal under the Tools tab within "University Forms," at least 10 days before the defense. The department posts flyers announcing the defense.