★ 3 (fi 6)(EITHER, 3-0-0)
Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.
LECTURE X50 (42580)
2023-01-05 - 2023-04-12
T 18:00 - 21:00 (BUS 2-09)
LECTURE B01 (47344)
2023-01-05 - 2023-04-12
W 14:00 - 16:50 (BUS 3-06)
★ 3 (fi 6)(EITHER, 3-0-0)
The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.
LECTURE X50 (40618)
2023-01-05 - 2023-04-12
T 18:00 - 21:00 (BUS 2-09)
★ 3 (fi 6)(EITHER, 3-0-0)
An overview of multivariate data analysis normally taken by students in the first year of the Business PhD program. Designed to bring students to the point where they are comfortable with commonly used data analysis techniques available in most statistical software packages. Students are expected to complete exercises in data analysis and in solving proofs of the major results. Topics will include univariate analysis, bivariate analysis, multiple linear regression, and analysis of variance. It is expected that students have as background at least one semester of calculus, one semester of linear algebra, and two semesters introduction to probability, probability distributions and statistical inference. Prerequisite: Registration in Business PhD Program or written permission of instructor. Approval of the Business PhD Program Director is also required for non-PhD students.
LECTURE B01 (47342)
2023-01-05 - 2023-04-12
W 14:00 - 16:50 (BUS 3-06)
★ 3 (fi 6)(EITHER, 3-0-0)
LECTURE 850 (49805)