Teaching Requirement for Ph.D. Students
Ph.D. students are required to teach at least one course in the college of IS&T at the undergraduate level during their Ph.D. studies. The teaching should preferably be done during the second year of studies. The Ph.D. student's instructor evaluations received in the course will be reviewed and evaluated by the course mentor and the doctoral program committee. Subsequent teaching assignments will be provided based on the Ph.D. student's performance, needs, interests and availability of courses.
Before teaching a course, a student has to go through a one-semester mentorship period under the regular instructor of the course. Students interested in teaching should consult the "Teaching Requirements" section of the Current Students: Doctoral Handbook section of this Website for further information about the teaching duties, teaching schedules and mentorship requirements.
Further inquiries related to teaching courses should be directed to the chair of the doctoral program committee.
A list of courses that are usually available for Ph.D. students to teach is given below:
Computer Science Courses
CIST 1300: Introduction to Web Development
CIST 1400: Introduction to Computer Programming
Information Systems and Quantatitive Analysis courses
CIST 2500 Introduction to Applied Statistics for IS&T. (3)The course emphasizes the function of statistics in information science and technology including topics such as descriptive statistical measures, probability discrete probability, sampling, estimation analysis, hypothesis testing, regression, and analysis of variance. A well-known computer package will be used to support the problem-solving process. Prereq: Math 2040 or Math 2030.
ISQA 3310 Managing the Data Base Environment (3)
ISQA 3400 Business Data Communications (3)
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