Term Adjunct Position

Term Adjunct - Analytical Decision Making

A Term Adjunct Teaching Position is open at the Smith School of Business for an instructor to teach at our Toronto facility, 200 Front St. West, in a lecture-style graduate course in the Master of Management Analytics Program. The course is MMA 861: Analytical Decision Making, and is a required course. MMA 861 will be offered on weekends between June and August 2019, with a maximum enrollment of 60 students.

Qualifications

Qualifications include: a Master’s degree or Ph.D.; several years of related experience; and, experience teaching university courses.

The course is described as follows:

Good managerial decisions depend on an understanding not only of the problem structure, parameters, and constraints, but also of the organizational context in which the decision will be implemented. In this course, we will explore the use of a variety of analytical methods to assist in the mechanics of problem solving, and case studies and illustrations to illuminate contextual issues. The general approach we will follow will be to construct an analytical representation of the problem, called a model. This model will be manipulated, or "solved", to identify the decision that yields the "best" outcome.

Finally, the model results are applied back to the original managerial problem, or implemented.

In this course, we shall concentrate on the processes of problem recognition, model formulation, interpretation of the model results, and implementation. We will not focus on algorithmic details of specific model solution, but rather will use pre-tested computer routines in most cases. The intention of the course is to help you become a perceptive and critical user of quantitative models in an organization.

Decision models can be divided into two main categories: those that assume that the variables within, and outcomes from, a decision problem are known with certainty (called deterministic models), and those which introduce elements of uncertainty or risk (called stochastic models). We will examine models from each of these categories, chosen on the basis of degree of use in current practice. Case studies will further illustrate the benefits of model-based decision making in different business situations.

On completion of the course you will be familiar with business situations in which decision modeling may be appropriate. You will be able to carry out some basic analyses yourself. Perhaps more importantly, you will be able to communicate your requirements to specialists, understand and direct their activities, and evaluate the results of their activities.

The University invites applications from all qualified individuals. Queen’s is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, Aboriginal peoples, persons with disabilities, and LGBTQ persons. All qualified candidates are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents of Canada will be given priority.

To comply with federal laws, the University is obliged to gather statistical information as to how many applicants for each job vacancy are Canadian citizens / permanent residents of Canada. Applicants need not identify their country of origin or citizenship; however, all applications must include one of the following statements: “I am a Canadian citizen / permanent resident of Canada”; OR, “I am not a Canadian citizen / permanent resident of Canada”. Applications that do not include this information will be deemed incomplete.

How to Apply

Deadline for applications:
December 10, 2018

Interested persons are asked to submit their application to the Faculty Resource Advisor, Smith School of Business at the below email address.

Applicants should submit:

The application should include a CV, teaching dossier (if available) and the names of two referees who may be contacted.

Submit your application to:

Kevin Bissonette
Faculty Resource Advisor
Office of the Dean
613-533-6002
kb106@queensu.ca