M. Hosein Zare, PhD

Assistant Lecturer, Department of Accounting and Business Analytics

Contact

Assistant Lecturer, Department of Accounting and Business Analytics
Email
mzare@ualberta.ca
Phone
(780) 492-0485
Address
4-21F Business Building
11203 Saskatchewan Drive NW
Edmonton AB
T6G 2R6

Overview

About

Hosein is an Assistant Lecturer of Operations Management at the Alberta School of Business since July 2020. He teaches courses on operations management, optimization, data analytics and modelling techniques in management. Prior to joining the Alberta School of Business, he was a Postdoctoral Associate at Ivey Business School. His research focuses on healthcare analytics and the optimization of service systems. He received a PhD in Industrial Engineering from the University of Pittsburgh in 2018. 


Research
  • Healthcare analytics and operations
  • Optimization of service systems
  • Bilevel Optimization

Teaching

Hosein has experience in teaching courses in statistics, optimization, operations management and supply chain management. At the Alberta School of business he teaches courses on operations management, data analytics and modelling techniques in management.

  • OM 420/620: Predictive Business Analytics
  • OM 422/622: Simulation & Computer Modelling Techniques in Management
  • OM 471/671: Decision Support Systems

Courses

BTM 424 - Introduction to Information Systems Project Management

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.

Winter Term 2022
BTM 624 - IT/IS Project Management

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.

Winter Term 2022
OM 420 - Predictive Business Analytics

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.

Fall Term 2021
OM 422 - Simulation and Computer Modelling Techniques in Management

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.

Fall Term 2021 Winter Term 2022
OM 471 - Decision Support Systems

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.

Winter Term 2022
OM 620 - Predictive Business Analytics

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.

Winter Term 2022
OM 622 - Simulation and Computer Modelling Techniques in Management

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.

Winter Term 2022

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