Maryam Hasanzadeh Mofrad

Assistant Lecturer, Alberta School of Business - Department of Accounting and Business Analytics
Directory

Fall Term 2025 (1930)

MGTSC 212 - Probability and Statistics for Business

3 units (fi 6)(EITHER, 3-0-1)

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 161 or equivalent. Credit will be granted for only one of MGTSC 212 (formerly MGTSC 312) and STAT 252. Students may not receive credit for both MGTSC 212 and MGTSC 312.

LECTURE A03 (57875)

2025-09-02 - 2025-12-08
TR 12:30 - 13:50

LAB D09 (50215)

2025-09-02 - 2025-12-08
R 10:00 - 10:50

2025-09-02 - 2025-12-08
R 10:00 - 10:50

LAB D04 (50216)

2025-09-02 - 2025-12-08
M 14:00 - 14:50

2025-09-02 - 2025-12-08
M 14:00 - 14:50

LAB D05 (50217)

2025-09-02 - 2025-12-08
W 12:00 - 12:50

2025-09-02 - 2025-12-08
W 12:00 - 12:50

LAB D02 (50218)

2025-09-02 - 2025-12-08
R 14:00 - 14:50

2025-09-02 - 2025-12-08
R 14:00 - 14:50

LAB D06 (50313)

2025-09-02 - 2025-12-08
R 11:00 - 11:50

2025-09-02 - 2025-12-08
R 11:00 - 11:50

LAB D01 (54226)

2025-09-02 - 2025-12-08
M 12:00 - 12:50

2025-09-02 - 2025-12-08
M 12:00 - 12:50

LAB D03 (55501)

2025-09-02 - 2025-12-08
M 13:00 - 13:50

2025-09-02 - 2025-12-08
M 13:00 - 13:50

LAB D11 (55502)

2025-09-02 - 2025-12-08
W 14:00 - 14:50

2025-09-02 - 2025-12-08
W 14:00 - 14:50



MMA 605 - Statistics Analytics and Causal Inference

3 units (fi 6)(FIRST, 3-0-0)

This course provides students with a robust foundation in statistical principles and techniques, alongside essential skills in descriptive analytics and causal inference. Students will develop strong analytical skills and gain hands-on experience with statistical software. Further delving into time series analysis, multivariate analysis and enhanced predictive modeling. Students will also gain proficiency in experimental design including ANOVA and A/B testing. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.

LECTURE A01 (58673)

2025-09-02 - 2025-12-08
R 14:00 - 16:50

Winter Term 2026 (1940)

OM 252 - Operations Management

3 units (fi 6)(EITHER, 3-0-0)

A problem-solving course which introduces the student to deterministic and stochastic models which are useful for production planning and operations management in business and government. Note: Students are expected to have basic familiarity with microcomputer applications. Prerequisite: MATH 154 or equivalent and STAT 161 or equivalent. Students may not receive credit for both OM 252 and OM 352.

LECTURE B02 (86790)

2026-01-05 - 2026-04-10
TR 15:30 - 16:50

LECTURE B03 (86791)

2026-01-05 - 2026-04-10
TR 11:00 - 12:20