The Thayer School of Engineering at Dartmouth College online Master of Engineering (MEng) in Computer Engineering is seeking a Course TA to support faculty and students. Currently we are seeking a TA for the Capstone: Smart Sensors course with Professor Kofi Odame.
Capstone: Smart Sensors course description:
Design methodologies of mobile sensors and systems will be discussed. Topics considered will include practical design considerations such as low power design, power budgeting and embedded system integration. The student will design, analyze, and test mixed hardware and software systems during weekly labs. These labs will require the student to write embedded code, perform analog and digital circuit simulations, build mixed signal systems and make benchtop measurements. The labs will build on each other and culminate in a single stand-alone electronic mobile system.
Online Master of Engineering (MEng) in Computer Engineering Course Teaching Assistants (TAs) will support faculty and students during course run in areas including assisting the professor with facilitation of Synchronous Sessions, holding online office hours, monitoring discussion forums, assisting with administration of the Coursera platform, grading of assignments, and providing technical support related to course content for students when necessary. TAs should have demonstrated proficiency in Computer Engineering course content at or above the graduate level.
Lectures for the course are offered asynchronously, with weekly Synchronous Sessions that are optional for students. The online MEng courses will be offered on the Coursera platform. There will be required TA training before the term begins.
This position is remote with approximately 12 – 15 hours per week. Working hours are flexible.