Graduate Program Review Self-Study Report
125 Pages
English
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Graduate Program Review Self-Study Report

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Learn all about the services we offer
125 Pages
English

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RA's CRA Survey (http://www.cra.org/statistics/) of. Ph.D.-granting ..... PhD 2003. eTreppid Technologies VPR .... (RPI), Troy, NY as a Postdoctoral Research Associate and a member of Adjunct Faculty ..... NV; and Quadrant One, Inc., Arlington, Virginia. We have ...... Provide Space for Post Doc's Visiting Faculty, and RA's ...

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Graduate Program Review Self-Study Report Department of Computer Science and Engineering University of Nevada, Reno February 27, 2009 1. Program History, Mission, and Administrative Structure ....................... 6 1.1. Program History.................................................................................................. 6 1.2. Mission................................................................................................................ 6 1.3. Vision.................................................................................................................. 7 1.4. Administrative Structure..................................................................................... 7 2. Graduate Courses and Degree Programs ................................................. 8 2.1. Graduate Program Organization, Objectives and Effectiveness......................... 8 2.1.1. Master of Science in Computer Science ..................................................... 8 2.1.1.1. Admission Information........................................................................... 8 2.1.1.2. Credit Requirements............................................................................... 8 2.1.1.3. Course ents.............................................................................. 9 2.1.1.4. Advisory/Examining Committee.......................................................... 10 2.1.1.5. Program of Study.................................................................................. 11 2.1.1.6. Defense................................................................................................. 11 2.1.2. Master of Science in Computer Engineering............................................ 12 2.1.2.1. Admission Information......................................................................... 12 2.1.2.2. Credit Requirements............................................................................. 12 2.1.2.3. Course ents............................................................................ 13 2.1.2.4. Advisory/Examining Committee.......................................................... 14 2.1.2.5. Program of Study.................................................................................. 14 2.1.2.6. Defense................................................................................................. 15 2.1.3. Doctor of Philosophy in Computer Science and Engineering .................. 16 2.1.3.1. Admission Information......................................................................... 16 2.1.3.2. Credit Requirements............................................................................. 16 2.1.3.3. Course ents............................................................................ 17 2.1.3.4. Advisory/Examining Committee.......................................................... 17 2.1.3.5. Program of Study.................................................................................. 18 2.1.3.6. Admission to Candidacy....................................................................... 18 2.1.3.7. Dissertation Defense............................................................................. 20 2.1.3.8. Other Requirements and Expectations.................................................. 20 2.1.4. Contribution of Courses Offered to Overall Curriculum.......................... 21 2.1.4.1. Theory................................................................................................... 21 2 2.1.4.2. Computer Systems................................................................................ 21 2.1.4.3. Software Systems.................................................................................. 22 2.1.4.4. Intelligent Systems 22 2.1.5. Seminar and Topics Courses..................................................................... 23 2.1.6. Assessment................................................................................................ 25 2.1.6.1. M.S. in Computer Science and M.S. in Computer Engineering........... 25 2.1.6.2. Ph.D. in Computer Science and Engineering........................................ 26 2.2. Graduate Students............................................................................................. 29 2.2.1. Quantitative and qualitative measures of student research output............ 31 2.2.2. Description and Analysis of Recruiting and Admission Procedures........ 44 2.2.3. Enhancing academic courses through seminar series involvement or internship opportunities ............................................................................................ 44 2.2.4. Graduate Students Involvement in Program Curriculum.......................... 45 2.2.5. Summary of Program Advisement Policies and Procedures for Resolution of any Student/Advisor Conflicts.............................................................................. 45 2.2.6. Summary of Graduates over the review period and their employment history 45 3. Faculty.................................................................................................... 50 3.1. Computer Systems............................................................................................ 51 3.1.1. Faculty Allocation of Responsibilities...................................................... 51 3.1.2. Research, Scholarship, Creative Activity, Outreach, and Professional Service 51 3.1.3. Faculty Profile and Achievements............................................................ 52 3.2. Software Systems.............................................................................................. 54 3.2.1. Faculty Allocation of Responsibilities...................................................... 54 3.2.2. Research, Scholarship, Creative Activity, Outreach, and Professional Service 55 3.2.3. Faculty Profile and Achievements............................................................ 55 3.3. Intelligent Systems............................................................................................ 56 3.3.1. Faculty Allocation of Responsibilities...................................................... 56 3.3.2. Research, Scholarship, Creative Activity, Outreach, and Professional Service 57 3.3.3. Faculty Profile and Achievements............................................................ 57 4. Program Resources, Physical Plant, and Facilities................................ 60 3 4.1. Funding Resources............................................................................................ 60 4.1.1. State ......................................................................................... 60 4.1.2. Grants and Contracts................................................................................. 61 4.1.3. Gifts and Endowments.............................................................................. 62 4.2. Research trends over the past seven years ........................................................ 62 4.2.1. Research Trends and Funding in Computer Systems ............................... 62 4.2.2. Research Trends and Funding in Software Systems................................. 64 4.2.3. Research Trends and Funding in Intelligent Systems 66 4.3. Plans for the future............................................................................................ 69 4.3.1. Future Plans in Computer Systems........................................................... 69 4.3.2. Future Plans in Software Systems ............................................................ 70 4.3.3. Future Plans in Intelligent Systems........................................................... 72 4.4. Goals and Strategies for Enhancing Research .................................................. 73 4.5. Program Barriers due to Funding...................................................................... 75 4.6. Reallocation...................................................................................................... 76 4.7. Physical Facilities............................................................................................. 76 4.7.1. Research Laboratories............................................................................... 76 4.7.2. Instructional ......................................................................... 80 4.7.3. Other Space............................................................................................... 80 4.8. Support Services 81 4.9. Adequacy of Physical Facilities........................................................................ 81 4.10. Changes during the review period and their impact ..................................... 82 5. Future Plans ........................................................................................... 84 5.1. Strengths and Challenges for CSE.................................................................... 84 5.1.1. Strengths................................................................................................... 84 5.1.2. Challenges................................................................................................. 84 5.2. Future Needs..................................................................................................... 86 5.3. Changes Planned for Program Improvement.................................................... 86 Appendix 1.................................................................................................... 87 Appendix 2 90 Course Descriptions...................................................................................... 90 Theory........................................................................................................................... 91 4 Computer Systems ........................................................................................................ 92 Software Systems.......................................................................................................... 94 Intelligent Systems 96 Appendix 3.................................................................................................. 101 CSE Strategic Plan...................................................................................... 101 5 1. Program History, Mission, and Administrative Structure 1.1. Program History The Department of Computer Science and Engineering (CSE) at the University of Nevada, Reno (UNR) offers graduate programs leading to the degrees of: • Master of Science in Computer Science (M.S. in C.S.): An advanced degree offering an integrated course of study covering the theory, implementation, and design of information systems. • Master of Science in Computer Engineering (M.S. in C.E.): An advanced degree offering a program that deals with the theory, implementation and design of computing, communication hardware, and embedded systems. • Doctor of Philosophy in Computer Science and Engineering (Ph.D. in C.S.E.): An advanced degree involving many aspects of original research, advancing scientific knowledge in specific areas. Students are given the opportunity to become involved in many areas of research specialization, including: artificial intelligence, computability, complexity, database systems, distributed and parallel systems, fuzzy systems, computer games, computer graphics, evolutionary computing, human-computer interaction, visualization, image processing, computer vision, machine learning, computer networks, neural networks, operating systems, pattern recognition, programming languages, program specification, real-time scheduling, robotics, simulation, computer security, and software engineering. The UNR Graduate School is directly responsible for granting these graduate degrees. Post-baccalaureate degrees have been offered at UNR since 1887 and the university awarded its first advanced degree in 1903. The first M.S. and Ph.D. degrees in computer science and engineering were awarded in 1980 and 2003, respectively. Currently as of September 2008, the CSE Department has 32 and 34 students enrolled in its M.S. and Ph.D. programs, respectively. 1.2. Mission The mission of the graduate programs in the Department of Computer Science and Engineering is to advance the frontiers of computer science and engineering, to produce qualified individuals in the discipline, and to reach out both within and beyond the university to apply computational principles to technical and societal problems. To accomplish this mission, the department seeks to: • Perform basic and applied research in computing and information technology that advances our knowledge about computation and its applications; • Educate and produce outstanding students knowledgeable about computing and able to learn and lead throughout their careers; 6 • Apply methodologies and principles of computing to challenges in other disciplines and support multidisciplinary efforts; • Engage in service and outreach to enrich the community, state, and profession; • Establish viable corporate and external partnerships to help identify problems and solutions and facilitate transfer of knowledge. 1.3. Vision The vision of the Department is to become a leader in computer science, computer engineering, and information technology education and research, attracting superior students and leading scholars, producing graduates who are prepared to succeed, and providing innovative lifelong educational opportunities. 1.4. Administrative Structure The CSE Graduate Director and the CSE Graduate Committee oversee all aspects of graduate education within the department. Their responsibilities include: • Overseeing the admissions process; reviewing student applications for graduate programs in order to ensure admission of highly qualified applicants; requesting and justifying admission of applicants not meeting minimum university requirements; • Reviewing and approving programs of study and the composition of examining committees; advising graduate students; enforcing degree and graduation requirements; • Scheduling and overseeing Ph.D. comprehensive exams; • Reviewing Teaching Assistant applications and making recommendations to the Department Chair; • Reviewing and approving acceptance of transfer credits; • Creating/evaluating proposals for new graduate programs; • Evaluating new graduate courses; • Maintaining relevant catalog sections; • relevant departmental website sections; • Organizing a yearly orientation session for new graduate students; • Communicating university-wide policies on graduate programs to the departmental faculty and communicating departmental decisions and recommendations to the Graduate School. 7 2. Graduate Courses and Degree Programs 2.1. Graduate Program Organization, Objectives and Effectiveness The Department offers graduate programs leading to the degrees of Master of Science in Computer Science, Master of Science in Computer Engineering and Doctor of Philosophy in Computer Science and Engineering. 2.1.1. Master of Science in Computer Science The Department of Computer Science and Engineering at the University of Nevada, Reno offers an integrated course of study covering the theory, implementation, and design of information processing systems for those seeking the degree of Master of Science in Computer Science. 2.1.1.1. Admission Information An applicant for admission to graduate-level study must file an application with the Graduate School and pay the appropriate application fee. Applications for graduate standing are subject to approval by the UNR Graduate School and by the CSE Graduate Program Director. Students who wish to enter the M.S. program must possess a Bachelor of Science degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering or other technical fields. Candidates to the program must satisfy both UNR and CSE Department’s admission requirements. The university requirements specify a minimum undergraduate grade point average (GPA) of 2.75 for entering an M.S. program. If the degree is not in Computer Science, the applicant must have taken courses equivalent to a Minor in Computer Science. While such a background is generally required for admission to the graduate program, the Computer Science and Engineering Department accepts applications from students lacking this background if they show exceptional promise. As part of the application package, the Department of Computer Science and Engineering also requires three letters of recommendations for each applicant to a CSE graduate program. 2.1.1.2. Credit Requirements There are two alternatives for obtaining a Master of Science degree in Computer Science: Thesis or Professional Paper. The credit requirements in each case are the following: Thesis • A total of minimum 30 graduate credits must be completed, with a minimum of 21 of these credits earned at UNR. A minimum of 18 credits must be taken in 700- level courses. 8 • 6 credits of Thesis (CS 797) are required. They will count towards the 18 credits at 700-level. • All requirements (including transfer credits) must be completed within the period of 6 years immediately preceding the granting of the degree. • Continuous enrollment is required, with a minimum enrollment of 3 graduate credits each Fall and Spring semester. • No more than one CS 693/CPE 693 Directed Study or CS 793 Independent Study course will count towards credit requirements in this program. Professional Paper • A total of minimum 33 graduate credits must be completed, with a minimum of 23 of these credits earned at UNR. • A minimum of 15 credits must be taken in 700-level courses. • 3 credits of Professional Paper (CS 796) are required. They will count towards the 15 credits at 700-level. • All requirements (including transfer credits) must be completed within the period of 6 years immediately preceding the granting of the degree. • Continuous enrollment is required, with a minimum enrollment of 3 graduate credits each Fall and Spring semester. • No more than one CS 693 / CPE 693 Directed Study or CS 793 Independent Study course will count towards credit requirements in this program. 2.1.1.3. Course Requirements Core courses Students must complete the following core courses, if they have not already done so as undergraduates: • Software Engineering (CS 625) • Principles of Operating Systems (CS 646) • Automata and Formal Languages (CS 656) • Analysis of Algorithms (CS 677R) Breadth and depth course requirements Students must complete at least one course in each of the following areas to satisfy the breadth requirement of the program. To satisfy the depth requirement of the program students must complete 4 additional courses (Thesis option) or 6 additional courses (Professional Paper option) in these areas. This amounts to a total of 8 courses (Thesis option) or 10 courses (Professional Paper option) in 4 areas. 9 • Theory • Applications • Software Systems and Environments • Computer Systems, Engineering and Communications The applicable courses in each field are as follows. Note that the * symbol stands for a letter that designates a seminar, topics, directed, or independent study course to be approved by the graduate advisor. • Theory: CS 650, CS 656, CS 666, CS 667, CS 677, CS 691*, CS 693*, CS 732, CS 763, CS 790*, CS 791*, CS 793* • Applications: CPE 670, CPE693*, CS 650, CS 657, CS 674, CS 679, CS 680 CS 682, CS 683, CS 685, CS 686, CS 691*, CS 693*, CS 773, CS 776, CS 790*, CS 791*, CS 793* • Software Systems and Environments: CPE 693*, CS 615, CS 625, CS 646, CS 647, CS 657, CS 660, CS 691*, CS 693*, CS 732, CS 746, CS 790*, CS 791*, CS 793* • Computer Systems, Engineering and Communications: CPE 600, CPE 601, CPE 606, CPE 611, CPE 670, CPE 691*, CPE 693*, CS 646, CS 647, CS 650, CS 691*, CS 693*, CS 790*, CS 791*, CS 793* 2.1.1.4. Advisory/Examining Committee Upon admission to graduate standing, students are assigned a temporary advisor by the graduate program. At the completion of 12 graduate credits, the Master’s degree student selects a permanent advisor who shall chair the student's Advisory/Examining Committee. The student and the permanent advisor arrange the appointment of the remaining members of the student's Advisory/Examining Committee. This committee, along with the Graduate Director of the program, supervises the student's course of study and examinations. The Advisory/Examining Committee of a Master’s degree student should consist of at least 3 members, who must all be members of the Graduate Faculty. One of the members must be the graduate student’s advisor, serving as Committee Chair, and one must be from outside the Department of Computer Science and Engineering, serving as the Graduate School Representative. The Graduate School Representative member’s role on the committee is not necessarily to provide subject-matter expertise but rather to ensure compliance with university policy and regulations; to serve as a representative of the Graduate Dean, “outside” the department granting the degree; and to provide an objective, non-partisan, independent perspective. Students may request the appointment of a committee member from the faculty of another university or from a relevant discipline or profession, provided the prospective member has achieved a record of distinction. Formal approval of the student’s Advisory/Examining Committee is made by the Graduate Dean. 10