Sessional Lecturer] AI in Finance – APS1052

Job title:

Sessional Lecturer] AI in Finance – APS1052

Firm

College of Toronto

Job description

Date Posted: 03/26/2024
Req ID: 36677
College/Division: College of Utilized Science & Engineering
Division: APSC: Ofc of the Dean – College Normal
Campus: St. George (Downtown Toronto)Description:Place: Sessional Lecturer I (2 positions accessible)Course title and code: AI in Finance – APS1052Course description: On this course we’ll give an outline of a number of purposes of machine studying to inventory market forecasting (together with excessive frequency buying and selling), starting with regressions, two “shallow” machine studying fashions (Help Vector Machines and primary Neural Networks) and ending with a deep studying mannequin (Lengthy Brief Time period Reminiscence Networks). Every mannequin is mentioned intimately as to what enter variables and what structure is used (rationale), how the mannequin’s studying progress is evaluated and the way machine studying scientists and inventory market merchants consider the mannequin’s ultimate efficiency, in order that by the tip of the course, the scholars ought to be capable to determine the primary options of a machine studying mannequin for inventory market forecasting and to judge whether it is prone to be helpful and whether it is structured effectively by way of inputs and outputs.The participant ought to be conversant in the foundations of statistics, the fundamentals of logistic regressions (fascinating) and primary linear algebra (fascinating); nonetheless, since our course intends to be self-contained, we are going to present a assessment of those ideas as wanted. As all of the examples of our course come from finance, some familiarity with the Capital Markets and the essential monetary ideas is required. A primary information of Python or another programming language (MatLab, R) is required, though the target of the course is to not learn to program (shallow & deep) machine studying fashions from scratch, however slightly, to grasp how they work and to learn to adapt them to the actual wants of the person and to optimize their utility to inventory market forecasting. The maths. foundations of the essential machine studying fashions (regressions, neural networks & assist vector machines) shall be mentioned and adopted by a panoramic view of the inputs which can be most certainly to offer worthwhile info for inventory market forecasting. Customary benchmarking strategies used within the trade shall be additionally lined. Subsequently, a variety of primary -already programmed- fashions shall be mentioned intimately and their efficiency evaluated.Estimated Enrolment: Roughly 50Estimated TA assist: TBAClass schedule: One 3-hour lecture per week.Sessional date of appointment: Summer time Could – August 2024Wage: Minimal degree of pay is $4,728.94 every (50% of Sessional Lecturer I as co-instructor), which incorporates trip pay, and will improve relying on applicant’s degree of expertise and suitability for the place.{Qualifications}: Experience in machine studying, statistics, arithmetic, and programming languages. Expertise as teacher on the undergraduate or graduate degree in addition to the flexibility to successfully talk and clarify ideas clearly. Candidates ought to have a powerful report of presenting lectures. The applicant should be capable to lecture in a transparent voice.Please observe: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are lined by the CUPE 3902 Unit 1 collective settlement slightly than the Unit 3 collective settlement, and mustn’t apply for positions posted beneath the Unit 3 collective settlement.Temporary description of duties: Duties embody: preparation of lectures and course supplies for supply; supply of lectures; attainable supervision of Educating Assistants; setting and marking of initiatives, assessments and exams; analysis of ultimate grades; contact with college students.To point curiosity on this place, please full the CUPE UNIT 3 utility kind, downloaded from:and undergoWorkplace of the Vice Dean Graduate Research, College of Utilized Science and Engineering, College of Toronto44 St. George Road, Toronto, Ontario M5S 2E4, E-mail:Closing Date: 04/07/2024, 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 ultimate course determinations and enrolment. Ought to charges stipulated within the collective settlement fluctuate 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 observe: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are lined by the CUPE 3902 Unit 1 collective settlement slightly than the Unit 3 collective settlement, and mustn’t apply for positions posted beneath the Unit 3 collective settlement.All certified candidates are inspired to use; nonetheless, Canadians and everlasting residents shall be given precedence.Variety AssertionThe College of Toronto embraces Variety and is constructing a tradition of belonging that will increase our capability to successfully deal with and serve the pursuits of our world neighborhood. We strongly encourage purposes 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, variety and inclusion and acknowledge that various views, experiences, and experience are important to strengthening our tutorial mission.As a part of your utility, you may be requested to finish a short Variety Survey. This survey is voluntary. Any info instantly associated to you is confidential and can’t be accessed by search committees or human assets employees. Outcomes shall be aggregated for institutional planning functions. For extra info, please see .Accessibility AssertionThe College strives to be an equitable and inclusive neighborhood, and proactively seeks to extend variety amongst its neighborhood members. Our values relating to 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 try to make our recruitment, evaluation and choice processes as accessible as attainable and supply lodging as required for candidates with disabilities.Should you require any lodging at any level throughout the utility and hiring course of, please contact .

Anticipated wage

$4728.94 per 30 days

Location

Toronto, ON

Job date

Thu, 28 Mar 2024 06:15:05 GMT

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