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Academic Assistant - CIND123 (DHD) Data Analytics: Basic Methods | Tue/Thurs | May 5-June 18 | 6:30-9:30pm
Academic Assistant - CIND123 (DHD) Data Analytics: Basic Methods | Tue/Thurs | May 5-June 18 | 6:30-9:30pmToronto Metropolitan University • Toronto, ON
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Academic Assistant - CIND123 (DHD) Data Analytics: Basic Methods | Tue/Thurs | May 5-June 18 | 6:30-9:30pm

Academic Assistant - CIND123 (DHD) Data Analytics: Basic Methods | Tue/Thurs | May 5-June 18 | 6:30-9:30pm

Toronto Metropolitan University • Toronto, ON
4 days ago
Job type
  • Temporary
Job description

Qualifications

Qualifications:

  • Enrolled in a Master’s or Ph.D. program (Preference to Doctoral, then Master’s)
  • Minimum overa
  • ll standing: B+ (or equivalent).
  • Overall academic performance at B+ and above
  • Strong foundation in Statistics and Probability
  • Background in computer science or a closely related field
  • Proficiency in R and Python programming
  • Practical skills in data visualization using Tableau or equivalent tools.
  • Evidence of applied projects focused on with statistical and analytics tools, and Python programming
  • Hands-on experience with Microsoft Azure virtual machines or labs.
  • Previous performance evaluation as a Teaching/Graduate Assistant at a University, if applicable.

Applicants not registered as TMU students will be considered if no qualified TMU student is available.

Attendance: GA must attend all lab sessions held by the designated instructor and be fully prepared.

Salary & Compensation

September 1, 2024 to August 31, 2025

Master - $49.93 per hour
PhD - $53.91 per hour

September 1, 2025 to August 31, 2026

Master - $51.17 per hour
PhD - $55.26 per hour

Conferring with SUP Instructor

Coordination - 2 Hours: Plan, prepare, and meet with the instructor (lab prep, grading rubrics, alignment with course outcomes).

Superv/Monitoring labs/Demos

Lab Support - 18 Hours: Attend 12 lab sessions and actively demonstrate tools, participate in student discussions, and support technical procedures, lab tutorials, and live-session activities.

Marking assignments/lab report

Grading - 18 Hours: Grade assignments in terms of the course rubric; assess process and findings; provide feedback on all rubric criteria and return marks within the timeframe specified by course policy.

Other Duties

Discussion Board - 5 Hours: Monitor and participate in the online course shell; address student concerns and questions thoroughly, and provide complete, timely replies in line with course policy.

Review Sessions - 2 Hours: Conduct one 2-hour or two 1-hour review sessions (for mid-term and/or final).

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Academic Assistant - CIND123 (DHD) Data Analytics: Basic Methods | Tue/Thurs | May 5-June 18 | 6:30-9:30pm • Toronto, ON

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