M. Hosein Zare, PhD

Assistant Lecturer, Department of Accounting and Business Analytics

Fall Term 2021 (1770)

OM 420 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: MGTSC 352 or OM 352.

LECTURE A2 (49492)
2021-09-01 - 2021-12-07
MW 14:00 - 15:20 (BUS B-18)


OM 422 - Simulation and Computer Modelling Techniques in Management

★ 3 (fi 6)(EITHER, 3-0-0)

Computer modelling of management systems in such functional areas as accounting, finance, marketing and operations. Basic concepts of deterministic and probabilistic (Monte Carlo) simulation and their applications. Microcomputer implementation of case studies using spreadsheets particularly emphasized. Required term project. Prerequisites: MGTSC 312 (or equivalent STAT course), MGTSC 352 or OM 352; and FIN 301 or ACCTG 311. Not to be taken by students with credit in MGTSC 422.

LECTURE A1 (57132)
2021-09-01 - 2021-12-07
TH 14:00 - 15:20 (CL 1-30)

Winter Term 2022 (1780)

OM 620 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: MGTSC 501.

LECTURE X50 (65496)
2022-01-05 - 2022-04-08
H 18:00 - 21:00 (BUS B-18)


BTM 424 - Introduction to Information Systems Project Management

★ 3 (fi 6)(EITHER, 3-0-0)

Examines information system development project management. The system development project is a multi-stage activity involving investigation and analysis, scope definition, resource analysis and estimation, timing estimation, cost estimation, scheduling, monitoring, and implementation. Prerequisite: BTM 311.

LECTURE B1 (67630)
2022-01-05 - 2022-04-08
MW 15:30 - 16:50 (BUS B-05)


OM 422 - Simulation and Computer Modelling Techniques in Management

★ 3 (fi 6)(EITHER, 3-0-0)

Computer modelling of management systems in such functional areas as accounting, finance, marketing and operations. Basic concepts of deterministic and probabilistic (Monte Carlo) simulation and their applications. Microcomputer implementation of case studies using spreadsheets particularly emphasized. Required term project. Prerequisites: MGTSC 312 (or equivalent STAT course), MGTSC 352 or OM 352; and FIN 301 or ACCTG 311. Not to be taken by students with credit in MGTSC 422.

LECTURE X50 (67580)
2022-01-05 - 2022-04-08
T 18:00 - 21:00 (BUS B-24)


OM 622 - Simulation and Computer Modelling Techniques in Management

★ 3 (fi 6)(EITHER, 3-0-0)

This course will discuss computer modelling of management systems in such functional areas as accounting, finance, marketing, and production. Basic concepts of deterministic and probabilistic (Monte Carlo) simulation and their applications will also be covered. Micro computer implementations of case studies using spreadsheets will be particularly emphasized. A term project will be required. Prerequisite: MGTSC 502 or OM 502. Not to be taken by students with credit in MGTSC 632.

LECTURE X50 (67582)
2022-01-05 - 2022-04-08
T 18:00 - 21:00 (BUS B-24)


OM 471 - Decision Support Systems

★ 3 (fi 6)(EITHER, 3-0-0)

The course focuses on the creation of decision support systems using Microsoft Excel-based spreadsheet models and the associated macro programming language, Visual Basic for Applications (VBA). Students will learn how to create Excel-based applications to aid managers in making decisions based on data and analytics. These applications will have graphical user interfaces, appropriate models in the spreadsheet or in the background, and output reports. Fundamentals of VBA, such as the Excel object model, variables, control logic and loops, subroutines and function subroutines, and user forms will be introduced. Prior programming experience is not assumed. Student projects in this implementation-oriented course will come from different areas such as forecasting, regression, supply chain network design, employee scheduling, and portfolio optimization. Prerequisites: MGTSC 312, MGTSC 352 or OM 352.

LECTURE B1 (67672)
2022-01-05 - 2022-04-08
MW 11:30 - 12:50 (BUS B-24)

2022-01-05 - 2022-04-08
MW 11:30 - 12:50 (BUS B-28)


BTM 624 - IT/IS Project Management

★ 3 (fi 6)(EITHER, 3-0-0)

Examines information system development project management. The system development project is a multi-stage activity involving investigation and analysis, scope definition, resource analysis and estimation, timing estimation, cost estimation, scheduling, monitoring, and implementation.

LECTURE B1 (67632)
2022-01-05 - 2022-04-08
MW 15:30 - 16:50 (BUS B-05)