Sessional Lecturer] Foundations of Data Analytics and Machine Learning – APS1070

Job title:

Sessional Lecturer] Foundations of Knowledge Analytics and Machine Studying – APS1070

Firm

College of Toronto

Job description

Date Posted: 03/26/2024
Req ID: 36681
School/Division: School of Utilized Science & Engineering
Division: APSC: Ofc of the Dean – School Normal
Campus: St. George (Downtown Toronto)Description:Place: Sessional Lecturer I (1 place accessible)Course title and code: Foundations of Knowledge Analytics and Machine Studying – APS1070Course description: (1) Python programming (fundamental constructions — tuples, lists, units, dictionaries, Pythonic programming fashion, e.g., record comprehensions, widespread packages — numpy, scipy, matplotlib, pandas, Jupyter/IPython notebooks, OOP design & polymorphism and tips on how to make efficient use of it)(2) Chance and statistics (fundamental distributions, expectations and Monte Carlo approximations, significance sampling, change of variables / Jacobian, ANOVA / confidence intervals).(3) Matrix representations and basic linear algebra operations (e.g., quadratic type and multivariate Gaussians, hint, inverse, SVD, matrix derivatives): college students ought to turn into acquainted representing and manipulating expressions in matrix type.(4) Primary algorithms and knowledge constructions (sorting and array search, graphs and timber)(5) Discrete math (fundamental combinatorics, fundamental discrete optimization, e.g., weighted set cowl)(6) Steady optimization (gradient descent and variants, convexity)(7) Constrained optimization (linear programming, combined integer linear programming): deal with downside formulation, use Gurobi for hands-on workout routinesEstimated Enrolment: Roughly 100 college studentsEstimated TA help: TBAClass schedule: One 3-hour lecture per week.Sessional date of appointment: Summer season Session 2024Wage: Minimal degree of pay is $9,457.89 (Sessional Lecturer I), which incorporates trip pay, and should improve relying on applicant’s degree of expertise and suitability for the place.{Qualifications}: Candidates should have expertise in using synthetic intelligence and machine studying in engineering. The applicant should have superior Python programming expertise and superior information of chance and statistics, matrix representations and basic linear algebra operations. As well as, the applicant have to be conversant in fundamental algorithms and knowledge constructions, discrete math and steady optimization (gradient descent and variants, convexity). The applicant should have expertise in educating arithmetic or coding on the undergraduate or graduate ranges. The applicant should be capable of lecture in a transparent voice, and clarify ideas clearly.Please be aware: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are lined by the CUPE 3902 Unit 1 collective settlement reasonably than the Unit 3 collective settlement, and shouldn’t apply for positions posted underneath the Unit 3 collective settlement.Temporary description of duties: As course coordinator, Prepares course schedule/syllabus, selects/organizes lab TAs, coordinates/supervises course lecturer and TAs, prepares/schedules midterm/last (with course lecturer), and supervises midterm & last and marking – ensure that every thing runs easily.To point curiosity on this place, please full the CUPE UNIT 3 utility type, downloaded from:and undergoWorkplace of the Vice Dean Graduate Research, School of Utilized Science and Engineering, College of Toronto44 St. George Avenue, Toronto, Ontario M5S 2E4, E mail:Closing Date: 03/20/2023, 11:59PM EDT
**This job is posted in accordance with the CUPE 3902 Unit 3 Collective Settlement.It’s understood that some bulletins of vacancies are tentative, pending last course determinations and enrolment. Ought to charges stipulated within the collective settlement range from charges acknowledged on this posting, the charges acknowledged within the collective settlement shall prevail.Desire in hiring is given to certified people superior to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective settlement.Please be aware: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are lined by the CUPE 3902 Unit 1 collective settlement reasonably than the Unit 3 collective settlement, and shouldn’t apply for positions posted underneath the Unit 3 collective settlement.All certified candidates are inspired to use; nonetheless, Canadians and everlasting residents will likely be given precedence.Range AssertionThe College of Toronto embraces Range and is constructing a tradition of belonging that will increase our capability to successfully handle and serve the pursuits of our world group. We strongly encourage functions from Indigenous Peoples, Black and racialized individuals, ladies, individuals with disabilities, and folks of various sexual and gender identities. We worth candidates who’ve demonstrated a dedication to fairness, range and inclusion and acknowledge that various views, experiences, and experience are important to strengthening our tutorial mission.As a part of your utility, you can be requested to finish a short Range Survey. This survey is voluntary. Any info immediately associated to you is confidential and can’t be accessed by search committees or human sources workers. Outcomes will likely be aggregated for institutional planning functions. For extra info, please see .Accessibility AssertionThe College strives to be an equitable and inclusive group, and proactively seeks to extend range amongst its group members. Our values concerning fairness and variety are linked with our unwavering dedication to excellence within the pursuit of our tutorial mission.The College is dedicated to the rules of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we attempt to make our recruitment, evaluation and choice processes as accessible as attainable and supply lodging as required for candidates with disabilities.When you require any lodging at any level through the utility and hiring course of, please contact .

Anticipated wage

Location

Toronto, ON

Job date

Thu, 28 Mar 2024 00:57:39 GMT

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