Sessional Lecturer - MIE1628 - Cloud-Based Data Analytics
University of Toronto•Toronto, ON
•Onsite
About The Position
This course covers Big Data fundamentals including an overview of Hadoop MapReduce and Spark. Covers Cloud fundamentals and Big Data Analytics on Cloud-based platforms including an introduction to a specific Cloud platform such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform along with common practices for this platform. Covers Cloud technologies to store and process structured, unstructured and semi-structured data. Covers Cloud-based implementation of Real-time Analytics and Machine Learning.
Requirements
- Strong record of presenting lectures or acting as a teaching assistant
- Considerable depth of knowledge and experience in the subject area
- Excellent communication skills - both oral and written
- Professional Engineer (P.Eng.) or Limited License (LEL) is strongly preferred
- Engineering Intern (EIT) is also acceptable
Responsibilities
- 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
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
