These students must submit a detailed description of such experience and ask a supervisor to write a letter of reference supporting the application. Their telephone number is and their e-mail address is admit umkc. International students may apply online at www. Their telephone number is and their e-mail address is isao umkc. Prospective students can request additional information or request information regarding their application by contacting UMKC at the above addresses or by sending e-mail to: csee umkc.
When accepted into the program, the student's first contact is with the computer science principal graduate advisor or with members of the CSEE graduate degree program committee during the orientation session. The most immediate concern is for the courses to be taken in the first semester. The principal graduate advisor will help the student select those initial courses. At this initial meeting, a review will be made of the student's status in the program and the student will be required to provide a tentative program of study within the first semester.
Such a program should reflect the deficiency and prerequisite courses that have been prescribed and may have to be taken prior to taking courses for graduate credit. Within the first semester, the student will be assigned a graduate advisor faculty who will then become the primary contact person for that student until a thesis advisor for thesis option is selected. This should be submitted to the graduate committee, usually by the end of the second semester.
The CSEE graduate degree program committee is in charge of handling procedural issues related to the M. Any request for exception to rules, regulations or policies should be directed to this committee. The CSEE graduate degree program committee reviews and evaluates all applications for admissions to the M. Frequently, they review applications from students whose past academic record show strong positive indications for success as a graduate student, yet have not satisfied all courses needed for full admission.
Students with an undergraduate degree in computer science from an ABET accredited program are well prepared. Others may have deficiencies in their preparation. The committee may offer these students admission to the program on a conditional basis and compile a list of "deficiency courses".
The successful completion of these courses with a grade of B or better will be a condition of full admission to the program. The student is then required to complete all such deficiencies as a contractual obligation at the earliest opportunity. The committee creates this list based on the transcripts and syllabi submitted by the applicant.ticosvipa.tk
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However, it is possible that applicants have indeed satisfied one or more of their listed deficiencies. In these cases, the student should contact their academic advisor as soon as possible in the first semester to initiate a petition to waive the deficiencies in question. Any petition received after the deadline will be denied and returned without review. The decision of the committee is final and can be one of three:.
The committee's decision is final, so it is important that students consult with their advisor to ensure that all the proper documentation supporting the waiver is submitted. If the student is allowed to take an examination, it must take place no later than the second semester of enrollment.
UofT Theses Online
The student may take the exam only once. If the student does not perform satisfactorily on the exam, then the student must enroll in the course to satisfy the deficiency requirement. All deficiencies shall be satisfied within two semesters of admission. If deficiencies are not satisfied within this time period, enrollment will be limited to deficiency courses until all deficiencies have been satisfied.
Note that there are graduate level courses that have an undergraduate course as prerequisite and that not all undergraduate courses can be taken for graduate credit. The approved areas and their associated courses are:. Master's Theses. Research Reports Barraclough, E. Jackson, James F. Michael, Mills, David L. Randall, I.
Uppal, G. McClain, J. Bibliography Additional contributions welcome. H, ed. Operating Systems Techniques. New York; London: Academic Press, , pp. A PDF of the October version of this paper is also available. Alexander, M. Anderson, William J. Arden B. Newman, J. There are 2 Core Candidate courses in each category. Intelligent Systems.
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Programming Systems. Computer Systems. Vision and Graphics. Thesis Option. Usually students pursuing a Master's Thesis will first do 3. It is the responsibility of the student to find a thesis supervisor. Non-thesis Option. The non-thesis option requires 2 additional or level Computer Science CS courses taken in place of the 6.
Dual Degree Opportunities Graduate students already enrolled in a master's degree program at Drexel have the opportunity, through the dual master's program, to work simultaneously on two CCI master's degrees and to receive both upon graduation. Associate Professor. Conceptual modeling, schema and ontology mapping, information integration, knowledge representation, requirements engineering, healthcare information systems, semantic web.
Theses & Dissertations
Associate Teaching Professor. Introductory and object-oriented programming, data structures and database systems, computer application project management, application of computer programming principles and solutions to engineering problems.
Associate Research Professor. Logic programming, declarative programming, answer set programming, knowledge representation, various types of reasoning. Software engineering approaches for integration of Web-based systems. Assistant Teaching Professor. Computer Algebra, complex symbolic calculations, automation of computation problems.
David E. Formal software design modeling and analysis, software economics, software evolution and modularity. Bruce W. Symbolic mathematical computation, algorithms and systems for computer algebra, problem-solving environments parallel and distributed computation. Decision making and reasoning under conditions of uncertainty, planning, scheduling, constraint, based reasoning, human computer and robot interaction, probabilistic reasoning, computer network security, large scale process control, user interfaces.
Assistant Professor. Software reliability, program behavior, concurrent and systems-level code, formal assurance, programming models, distributed computing, even testing. Artificial intelligence, privacy, security, multi-agent systems, economics of electronic privacy and information security.