This class was tough.
Course Overview:
Difficult course but manageable if you keep up with the HW and memorize theorems for the final exam
Course highlights:
It's a rather abstract math course to begin with but good background for coding.
Hours per week:
12+ hours
Advice for students:
Memorize theorems for the final exam!!
Not too easy. Not too difficult.
Course Overview:
This professor is great. He makes significant effort to ensure each students understands the material thoroughly.
Course highlights:
This course provides a basic insight to the concepts of matrices. However this course also focuses heavily on conceptual proofs which are enjoyable to anyone who enjoys the mechanics of mathematics.
Hours per week:
6-8 hours
Advice for students:
The professor is willing to put in just as much time as you are. He's open to schedule an appointment for personal help at anytime and will make sure you understand a concept or ready for the upcoming exam before you leave.
This class was tough.
Course Overview:
Although most students are taking it for the engineering requirement, it is still a very important course to take. It links classic computational math with theoretical math and provides strong foundation for higher math courses.
Course highlights:
Two dimensional matrices and their operations, vector spaces, spans, basis, basic differential equations, eigenvalues and eigenvectors.
Hours per week:
3-5 hours
Advice for students:
Do all the homework online and if it still doesn't make sense, do the practice problems. They help a lot no matter how boring they may be. The exams are always much harder than the practice exams and be sure to know vector spaces very well for exam 2 and the final.