Not too easy. Not too difficult.
Course Overview:
I would recommend it as it explores the main idea of set theory for basic computation required for embedded system development and update.
Course highlights:
The highlights of this course are set theory, probability functions, signal interpretation, random variable theory, etc
Hours per week:
3-5 hours
Advice for students:
This is not an easy one, if your looking for something like that. It goes in depth for each functions and distribution types that you might have learnt in undergrad. Take it seriously and try to look up what the professor will teach before each class, it will help you be in sync.
Not too easy. Not too difficult.
Course Overview:
She is considerate and teaches with lot of examples. Utilize her office hours.
Course highlights:
The subject is mainly about probability, continuous random variable, discrete random variable, and gaussian white noise, it's mean, variance.
Hours per week:
3-5 hours
Advice for students:
Start understanding the concepts from first class instead of just solving problems.