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DATA612

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Decision Analytics

Haskayne School of Business HA - Haskayne School of Business

Subject

DATA - Data Science

Description

Introduces fundamental concepts and modelling approaches to solve problems that are faced by decision makers in today's fast-paced and data-rich business environment. Different decision alternatives are analyzed and evaluated with the use of computer models. Topics include the most commonly used applied optimization, simulation and decision analysis techniques. Extensive use will be made of appropriate computer software for problem solving, principally with spreadsheets.

Prerequisite(s): Data Science 601, 602, 603, 604 and admission to the Graduate Diploma in Data Science and Analytics or the Master of Data Science and Analytics with a specialization in Business Analytics.

Course Attributes

Fee Rate Group(Domestic) - H, Fee Rate Group(International) -G, GFC Hours (3-0)

Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.

Component

LEC

Units

3

Repeat for Credit

No

Subject code

DATA

Understanding Course Information

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