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ACADEMICS:
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DOCTORAL PROGRAM IN COMPUTING AND
INFORMATION SCIENCES AND ENGINEERING |
| The Mayagüez Campus of the University of Puerto Rico offers a program of study leading to the Ph.D in Computing and Information Sciences and Engineering (CISE). Subject areas cover a wide range of advanced studies and research problems of interdisciplinary nature in computing and information sciences and engineering. Due to its interdisciplinary character, the program is composed by areas of specialty which can be renewed according to the evolution of the discipline, availability of specialists, and societal demand. At present, the program counts with a specialty in Computer Science and Engineering, which focuses on design, analysis, and development of software and digital information systems; and a specialty of Scientific Computing, which focuses on the use of high-performance computing for the mathematical solution of problems in science and engineering. The program is designed to prepare leaders of information technology innovation for highly qualified careers in academia, government or industry. A student planning to enter the Ph.D. in CISE should have a B.S. degree in Engineering or Science, and the equivalent to the undergraduate courses of Data Structures, Programming Languages, and Calculus III and Linear Algebra. An undergraduate course in Digital Circuits is also required for applicants interested in Digital System Implementations. Students deficient in one or more of these courses are expected to remove these deficiencies during the first year of study. Applicants should also submit their GRE score, and an essay explaining their personal vision of the discipline, and professional expectations. The program contemplates a minimum of 57 academic credits distributed as follows: 9 credits in core courses, 12 credits in elective courses inside the student's specialty, 9 credits in elective courses outside the student's specialty, 6credits in an area of specialization within the program, 6 credits in advanced courses, 3 credits in seminars, and 18 credits in a doctoral dissertation. The core courses are: Analysis of Algorithms, Foundations of Computing, and Computer Architectures. The elective courses for the specialty of Computer Science and Engineering may be selected from the elective courses of the Master in Science in Computer Engineering, while the electives for the specialty of Scientific Computing, from the Master in Science in Scientific Computing. Qualifying and candidacy examinations are also required. The qualifying examination is based on the core courses, and it is offered each August during the first week of classes. The candidacy examination, on the other hand, is based on the student's thesis proposal and it is offered by the student’s committee. Overall, the curriculum emphasizes research and creativity over passive learning. Thesis results are expected to be published in a recognized journal before the Ph.D. is conferred. More information is available at: http://phe.ece.uprm.edu . Course descriptions may be found at http://ece.uprm.edu/cecord/phd .
DOCTORAL PROGRAM IN COMPUTING AND INFORMATION SCIENCES AND ENGINEERING (CIIC) Graduate Courses CIIC 6005. COMPUTING FOUNDATIONS. Three credit hours. Three hours of lecture per week. Concepts and formal definitions of algorithmically solvable problems. Classification of problems by their computability in terms of the time and space required to solve them. CIIC 8015. ADVANCED TOPICS. Three credit hours. Three hours of lecture per week. Study of advanced topics in sciences and engineering of information and computing. CIIC 8996. DOCTORAL SEMINAR. Zero to three credit hours. Study and dissemination of current research topics in sciences and engineering of information and computing. Each student will select a research topic for which he/she will make a formal and public presentation. CIIC 8997. INDEPENDENT STUDY. Zero to six credit hours. Independent studies in sciences and engineering of information and computing. CIIC 9995. DOCTORAL DISSERTATION. Zero to eighteen credit hours. Research work leading to a significant and original contribution in sciences and engineering of information and computing. |
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