EE 617 Sensors in Instrumentation (Autumn 2018-19)

Instructor: Prof. Siddharth Tallur

Course Name: Sensors in Instrumentation ( EE 617 )

Course Type: Theory (Elective)

Credits: 6

Pre-requisites: EE 112, basic data analysis, knowledge of transfer functions and s-domain analysis (can be acquired during the course itself). 

Course Content: 

Systematic approach to problem solving, central limit theorem and understanding datasheets, allan variance, noise sources and noise analysis, instrumentation amplifier architecture, diamond plots, synchronous demodulation and uses, MEMS inertial sensors, capacitive transduction, MEMS gyroscopes, data converters, aliasing effects, power v/s noise tradeoff analysis. 

Books:

Lecture notes and uploaded reading material were enough

Lectures:

Attendance is compulsory, mixture of slides and blackboard were used. Lectures complement the material that's uploaded and are very discussion oriented. Highly recommended to attend lectures.

Assignments:

Tutorials are graded and are in general difficult. But sufficient time is given to complete them. 

Exams and Grading:

There were no quizzes, only midsem, endsem and project. Project is a big part of the course and a lot of emphasis is placed on it. 

Online Useful Material:

Advanced Follow up Courses:

Pro-Tips:

Do attend all lectures. A lot of practical material is covered. And is ultimately tested in exams. Even the labs are very useful and questions in exams can be based on the labs. 

Personal Comments:
This is a very practical course with a very wide range of material being covered. If you're hungry for depth, this course isn't recommended. That said, you can ask the professor for more material to read and he will be happy to oblige. 

Respondent: Hrishikesh Iyer