Yasser Zeinali

Grad Teaching Assistantship, Alberta School of Business - PhD Office
Grad Research Asst Fellowship, Alberta School of Business - PhD Office

Contact

Grad Teaching Assistantship, Alberta School of Business - PhD Office
Email
yzeinali@ualberta.ca

Grad Research Asst Fellowship, Alberta School of Business - PhD Office
Email
yzeinali@ualberta.ca

Overview

Area of Study / Keywords

Data Analytics Machine Learning Time Series Analysis Data Driven Decision Making

Courses

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.


OM 671 - 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. Prerequisite: MGTSC 501.


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