Date Posted: 06/26/2025 Req ID: 43914 Faculty/Division: Faculty of Applied Science and Engineering Department: Dept of Mechanical and Industrial Eng Campus:St. George (Downtown Toronto) Description: Course number and title: MIE1624F/S : 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: September to December 2025 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. Applicants must be able to demonstrate considerable depth of knowledge and experience in the subject area. All applicants should have excellent communication skills : both oral and written. Professional Engineer (P.Eng.) or Limited License (LEL) is strongly preferred. Engineering Intern (EIT) is also acceptable. Description of duties: Preparation of lectures and course materials; delivery of lectures; supervision of Teaching Assistants; setting and marking of tests and exams; evaluation of final grades; contact with students. Application instructions: Please submit a Unit 3 Sessional Instructor Application Form, Resume and Teaching Dossier merged into a single PDF file to the MIE Graduate Office Jonathan Alexander at no later than July 21, 2025 at 11:59pm (eastern time). The Course Instructor Application Form can be found on the MIE Careers page here: mie.utoronto.ca/faculty:staff/careers/ . Applicants must include full contact information of their supervisor, plus two U of T employees (faculty of staff) who can testify to the teaching skills of the applicant. If during the application and/or selection process you require accommodation due to a disability, Jonathan Alexander at . The appointment will be made at the earliest possible time before the commencement of classes by the Associate Chair, Graduate Studies of the Department of Mechanical and Industrial Engineering. No other offers or notices of the outcome of applications are authorized by the Department. Final availability of the position is contingent upon final course determination, enrolment, budgetary considerations, and the final determination of assignments flowing from Article 14:03 of the Collective Agreement. Closing Date:07/21/2025, 11:59PM EDT ** This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course dete