Sessional Lecturer - MIE1050 - Design of Intelligent Network Sensors
About The Position
This course will provide students with practical knowledge on sensor network design including sensor selection, calibration, digitization, and digital signal processing. Students will be introduced to theory and operation of various sensor technologies and their applications. Commonly used transducers such as chemical, mechanical, and magnetic as well as the more advanced organic and nuclear transducers are discussed. This course will also cover linear and non-linear multi-parameter calibration. Digitization, and a survey of digital signal processing techniques will be discussed with practical application of commonly used digital filters. Special focus will be placed on optimal design of sensor networks and multi-sensor data fusion. There will be a design project to enforce the lessons learned in class on sensor calibration and digital signal processing.
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
Education Level
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