Date Posted: 08/22/2023
Req ID: 33597
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)
Description:
STA437H1F/STA2005HF L5201 – Methods of Multivariate Data
Practical techniques for the analysis of multivariate data; fundamental methods of data reduction with an introduction to underlying distribution theory; basic estimation and hypothesis testing for multivariate means and variances; regression coefficients; principal components and partial, multiple and canonical correlations; multivariate analysis of variance; profile analysis and curve fitting for repeated measurements; classification and the linear discriminant function.
| Estimated Course Enrolment | Up to 250 |
| Estimated TA Support | 250 hours – The availability of TA support is contingent on class enrolment and class size. |
| Schedule | Tuesdays 6:00pm to 9:00pm |
| Tutorial | N/A |
| Delivery Method | In Person – Subject to adjustments imposed by public health requirements for physical distancing. |
| Sessional Dates | September 1, 2023 to December 31, 2023 |
| Salary based on 0.5 FCEMay be negotiated based on industry experience. | $9,457.90 for Sessional Lecturer I;$9,930.79 for Sessional Lecturer I Long Term;$10,121.77 for Sessional Lecturer II;$10,326.62 for Sessional Lecturer II Long Term;$10,362.76 for Sessional Lecturer III$10,570.02 for Sessional Lecturer III Long Term |
Qualifications: Minimum Master’s degreee required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics or related disciple. Prior experience teaching at the university level. Prior experience teaching STA437 or a similar course an asset. Note: Applicants may be asked to supply references.
supply references.
supply referenc Description of duties: Preparation and delivery of lectures in this course. Preparation, supervision and grading of assignments, tests, and final examinations in accordance with university regulations; reporting final grades; counseling students; supervising teaching assistant(s).
Closing Date: AUGUST 25, 2023
Application Procedure: All individuals interested in the position must submit a Curriculum Vitae and the CUPE 3902 Unit 3 Application Forms available at https://uoft.me/CUPE-3902-Unit-3-Application-Form to unit3apps.statistics@utoronto.ca.
Closing Date: 08/25/2023, 11:59PM EDT
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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 determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
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