alternatives; and preparing reports. Prerequisite: Permission of the instructor. CREDIT: THREE SEMESTER HOURS.
COS 683: Decision Support Systems. This course combines theory with the practical techniques of PERT, CPM, linear programming, modeling, “What If” analysis, break even analysis, and decision trees. Prerequisite: Permission of the instructor. CREDIT: THREE SEMESTER HOURS.
COS 697: Independent Study. The student will complete an approved project designed to provide an opportunity to develop an area of expertise not covered by regular curriculum. May be repeated twice for credit. Prerequisite: Consents of the instructor and chairperson. CREDIT: THREE SEMESTER HOURS.
COS 698: Internship in Computer Science. Course can be taken for gaining practical experience, on or off campus, in any field of computer science. The student must demonstrate that the experience gained as part of the internship is at least equivalent to the material learned in a typical class. May be repeated twice for credit. Graded pass/fail. Prerequisite: Consent of the chairperson. CREDIT: THREE SEMESTER HOURS.
COS 796: Project Course. The successful student completed an approved project designed to develop an area of expertise not covered by regular curriculum. Students will submit an internal report for their project achievements. May be repeated once. Prerequisite: Permission of the instructor. CREDIT: THREE SEMESTER HOURS.
COS 797: Residence Credit for Thesis/Professional Project. Graduate students who have already earned the maximum credits allowed for program thesis or project course may be registered for this course. Prerequisites: completion of the program thesis or project course; approval of advisor. CREDIT: NONE.
COS 799: Thesis. Thesis preparation, presentation, and defense. Students may register for thesis for several semesters. Upon completion of the thesis, students are given a grade of Pass (P) or Fail (F). The thesis is a published work of original research in the field of computer science. CREDIT: THREE SEMESTER HOURS.
ECO 501 Survey of Statistics and Quantitative Methods. A survey of statistics and quantitative methods for graduate students. This course provides an introduction to statistics and quantitative methods for management decision-making. Topics include descriptive statistics, statistical inference, probability, decision analysis, forecasting, and linear programming and sensitivity analysis. This course does not count toward the 30 hours required for the MBA degree. CREDIT: THREE SEMESTER HOURS.