Teaching

Part-Time Professor

ADM2302: Business Analytics (2015-2020)

Taught topics of linear programming, sensitivity analysis, decision analysis, and project management. Prepared lecture materials, assignments, and exams using a variety of tools (e.g., MS PowerPoint, MS Excel (with Solver and TreePlan add-ons). Incorporated Blackboard Learn, BrightSpace, and Socrative as learning support systems.

Enrolment: 80 to 160 students, depending on the semester.

Course Description: Introduction to problem solving techniques with the focus on decision making for efficiency, profitability, and sustainability. Tools for structured problem solving applicable in the areas of management, finance, marketing, organizational planning, transportation, operations, and allocation of scarce resources. Emphasis on computer-based modelling approaches to facilitate formulation, resolution, and interpretation of the results.

Teaching Assistantships

MGT5100: Research Design Methodologies and the Conduct of Research (2020)

Graded and provided feedback on assignments and presentations.

Enrolment: 14 students


Course Description: Introduction to research and scientific inquiry in order to foster a better understanding of the research discovery process. Planning, designing, and conducting a research project; detailed discussion of the research methods and techniques available; selecting research methods and techniques appropriate for the nature of the problem and the objectives of the project. Exposure to various research methodologies including paradigms of social phenomena modeling, qualitative research, mathematical modelling methods, and experimental design approaches including randomized control trials (RCT) design principles.


MHA6271: Application of Information Technology in Healthcare (2020)

Graded and provided feedback on assignments and presentations. Met with students to discuss their work.

Enrolment: 17 students


Course Description: Presents an overview of timely topics related to the application of information technologies (IT) in health care and prepares students to better understand and work with IT in the current healthcare environment. The course discusses research and evidence on contemporary health IT solutions and their role in improving, transforming and supporting the delivery of health care, as well as the decisions and challenges that managers face when considering the implementation of these new technologies.


MHA6203: Program Evaluation for Health Care Managers (2020)

Graded and provided feedback on assignments and presentations. Met with students to discuss their work.

Enrolment: 11 students


Course Description: Provides students with an overview of planning, designing and conducting applied program evaluations, which are applicable in health care organizations and community settings. Topics include: types of evaluations; formulation of evaluation questions; evaluation designs, methodologies, and tools; evaluation results to different stakeholders, and critical appraisal of evaluation research and reports.


ADM2303: Statistics for Management (2019)

Planned and conducted weekly tutorials and review sessions. Graded assignments. Met with students individually and in groups to answer questions.

Enrolment: 100 students


Course Description: Introduction to the use of statistical methods and tools in business, data exploration. Descriptive statistics including graphical representation of data, measure of central tendency and dispersion. Applications of random variables and their probability distribution in business. Useful probability distributions in management, including binomial, Poisson, normal, exponential and uniform distributions. Introduction to statistical process control and quality improvement. Hands-on experience with Excel and Minitab.


ADM2302: Business Analytics (2012-2018)

Developed practice questions. Planned and conducted weekly tutorials and review sessions. Graded assignments. Met with students individually and in groups to answer questions.

Enrolment: 70 to 100 students, depending on the semester


Course Description: Introduction to problem solving techniques with the focus on decision making for efficiency, profitability, and sustainability. Tools for structured problem solving applicable in the areas of management, finance, marketing, organizational planning, transportation, operations, and allocation of scarce resources. Emphasis on computer-based modelling approaches to facilitate formulation, resolution, and interpretation of the results.


ADM2304: Applications of Statistical Methods in Business (2013)

Planned and conducted weekly tutorials and review sessions. Graded assignments. Met with students individually and in groups to answer questions.

Enrolment: 80 students


Course Description: Topics include the estimation (using confidence intervals) and hypothesis testing (including non-parametric methods); correlation and the simple linear regression model (with extensions to multiple regression); and chi-square tests on qualitative data. Emphasis on understanding when and how to use (and not misuse) various methods. Hands-on experience with statistical software tools.


Corrector

ADM2372: Management Information Systems (2017)

Graded case studies for two sections and met with students to discuss course material.

Enrolment: 100 to 120 students, depending on the section.


Course Description: Introduction to management information systems, their underlying infrastructure and technology, and their impacts on organizations and individuals. Applications of information systems at the operational and decision-making levels. Electronic business. Ethical and legal issues. Security and quality issues. Advanced topics including knowledge management and business intelligence.


Blended Course Designer

MBA5300: Data Analysis (2016)

Created tutorial videos for students to learn statistical methods used in managerial decision making. Developed assignment problems and case studies for tutorials


Course Description: Introduction to statistical data analysis. Basic concepts important to management: problem-solving and decision-making using data. Application of univariate and bivariate methods to various datasets. Use of software and the interpretation of statistical output. Models and tools to assist students in collecting, organizing, understanding, analyzing, presenting and communicating data.