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Graduate Program Evaluation

1. Course Evaluation

The courses are classified into three categories:

1. Core courses providing knowledge for the PhD Qualifying Examination
2. Core courses for the MS and PhD programs
3. Other courses in the MS and PhD program

For each course, a set of course goals, objectives, and syllabus will be maintained for each semester. A survey will be undertaken for each of the courses; the course (and survey) will evaluated with the following frequency: Courses in category (A) will be evaluated every semester, courses in category (B) will be evaluated every year, and courses in Category (C) will be evaluated once every two years.

Core Courses
For the PhD Qualifying Exam: CS 530: Theory of Computation CS 532: Formal Languages CS 535: Design and Analysis of Algorithms CS 536: Science of Programming CS 550: Advanced Operating Systems	For the MS and PhD Programs (Set 1): CS 522: Data Mining CS 525: Advanced Database Organization CS 529: Information Retrieval Systems CS 540: Syntactic Analysis of Programming Languages CS 546: Parallel Processing CS 551: Operating System Design and Implementation CS 545: Concurrent Programming
For the MS and PhD Programs (Set 2): CS 542: Computer Networks I: Fundamentals CS 544: Computer Networks II: Network Services CS 547: Wireless Networks CS 550: Advanced Operating Systems CS 555: Analytic Models & Simulation of Comp. Sys. CS 570: Advanced Computer Architecture CS 586: Software Systems Architectures	For the MS and PhD Programs (Set 3): CS 530: Theory of Computation CS 532: Formal Languages CS 533: Computational Geometry CS 535: Design and Analysis of Algorithms CS 536: Science of Programming CS 538: Combinatorial Optimization

The courses will be partitioned into areas each of which will be managed by a manager with the help of the faculty in that area. The managers are:

Manager	Area	Courses
G. Agam	Applications	CS 511, 512, 580, 581, 582, 583, 584, 585
G. Calinescu	Theory	CS 530, 531, 532, 533, 535, 538
B. Korel	Software Engineering	CS 537, 586, 587, 588, 589
C. Hood	Networks	CS 542, 544, 547, 548, 549
S. Ren	Programming Languages & Compilers	CS 536, 540, 541, 545
Zhiling Lan	Systems	CS 546, 550, 551, 552, 553, 555, 570
D. Grossman	Databases	CS 520, 521, 522, 525, 529
C. Bauer	Education	CS 560, 561, 565, 566

Surveys of the previous semester will be discussed at the beginning of the semester in the graduate committee.

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2. Alumni/Graduating Student Surveys

A survey of alumni and graduating students will be carried out. The survey of the graduating students will be carried out along with the course survey. The graduate advisor, Vida Winans, will coordinate this effort.

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3. Co-Op Program/Employer feedback

Feedback obtained by the Institute at the end of the Co-Op program for each student will be obtained to provide data for this form of feedback and assessment. Jim Sasaki and Vida Winans will coordinate this effort.

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4. Ph.D Program Evaluation

Each year, the Ph.D coordinator will obtain data from the current Ph.D candidates regarding their current status. This includes progress in the qualifying examination, publications and coursework performance. This data will be discussed by the graduate committee each year.

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5. Admission Data

Data regarding the GPA and GRE scores of incoming students will also be considered during the Fall semester Graduate Committee meetings. This data will be useful in gauging the outside perception of the program.