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Disclaimer: The course information below is current as of Feb 28, 2008, is intended for informational purposes only, and does not constitute a legal contract between the University of Utah and any person or entity.
This Web document is updated twice a year, on or about the first day of registration for Fall and Spring semesters.
6010 Business Fundamentals for Scientists
(3)
This course is the first half of a series that offers a broad overview of business skills that are fundamental for managers and other decision-makers. Offered by the Master of Science and Technology program through University College, this course is intended for students with a strong technical background but little or no business, management, and communication training. Topics covered include accounting, finance, intellectual property, team-building, communication, and people management. This is a mandatory cohort class for first-year MST students.
6020 Management Fundamentals for Scientists
(3)
This course is the second half of a series that offers a broad overview of business skills that are fundamental for managers and other decision-makers. This course is intended for students with a strong technical background but little or no business, management, and communication training. Topics covered include leadership, negotiations, quality management, operations management, organizational change, and the planning process. This is a mandatory cohort class for first-year MST students.
6500 Scientific Reasoning and Inquiry
(3)
This course focuses on scientific reasoning, inquiry and problem solving skills. Topics covered include simple and theoretical induction, bayesianism, statistical and causal hypotheses, using scientific information in decision making, inference to the best explanation, science and the individual, and science and society. Required of all first-year MST students.
6600 Applied Statistical Techniques
(3)
Prerequisite: MATH 1220 or 1250.
This general study of statistical techniques is a practical,
case/example-based course that uses the essential tools and concepts of Six
Sigma as a unifying framework. Discussion topics include descriptive statistics,
confidence intervals, hypothesis testing, design of experiments, goodness of
fit, correlation & regression analysis. An introduction to statistical process
control is introduced for Quality Management exposure. Hands-on skill is
acquired for the development and interpretation of regression models from
functional areas of business, biostatistics, science & engineering. The emphasis
is on depth rather than breadth of the subject material. Microsoft Excel is used
to create graphical and numerical outputs with emphasis on interpretation of
output. A comprehensive case write-up and presentation, integrating the
essentials of course tools is prescribed as the end-of -term project. Practical
exercises and industry cases are used throughout the term for reinforcement
purposes. Students are encouraged to bring laptops to class.
6975 Internship and Work Experience
(3)
Prerequisite: MST 6010, 6020, & 6500 plus 6 credits of additional courses.
Student internship and work experience designed to give practical, hands-on training and experience in a meaningful work environment, preferably with both technical and business content. The internship will engage students in the issues, techniques, current practices, climate and culture of a particular industry sector. Eligible students should be half-way through the MST program, or have taken a minimum of 15 credits of required coursework, including MST 6010, 6020, and 6500. Internships must be approved by the MST Program Director, the student's Supervisory Commitee, and the internship employer/supervisor.
6980 Faculty Consultation
(3)
Prerequisite: MST 6960.
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