Sessional Lecturer - MIE1624S - Introduction to Data …, Toronto

Date Posted:

05/06/2026

Req ID:

47923

Faculty/Division:

Faculty of Applied Science&Engineering

Department:

Dept of Mechanical&Industrial Eng

Campus:

St. George (Downtown Toronto)

Existing Vacancy:

Yes

Description:

Course number and title:

MIE1624S– Introduction to Data Science and Analytics

Course description:

The objective of the course is to learn analytical models and overview quantitative algorithms for solving engineering and business problems. Data science or analytics is the process of deriving insights from data in order to make optimal decisions. It allows hundreds of companies and governments to save lives, increase profits and minimize resource usage. Considerable attention in the course is devoted to applications of computational and modeling algorithms to finance, risk management, marketing, health care, smart city projects, crime prevention, predictive maintenance, web and social media analytics, personal analytics, etc. We will show how various data science and analytics techniques such as basic statistics, regressions, uncertainty modeling, simulation and optimization modeling, data mining and machine learning, text analytics, artificial intelligence and visualizations can be implemented and applied using Python. Python and IBM Watson Analytics are modeling and visualization software used in this course. Practical aspects of computational models and case studies in Interactive Python are emphasized.

Estimated course enrolment (approximately):

TBD

Estimated TA support:

TBD

Class schedule:

TBD

Sessional dates of appointment:

January to April 2027

Salary:

$30,000 (per half course inclusive of vacation pay) Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

Applicants should have a strong record of presenting lectures or acting as a teaching assistant.

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