This class was tough.
Course Overview:
Linear Algebra was an average course for me. It wasn't very interesting and was different from a traditional mathematics course since it solely focused on matrices and changing the form of matrices. It is a requirement for most engineering students, so many of the students just want to complete the core class. Therefore, it is not as bad as other core classes since some of the content will still be useful in the future.
Course highlights:
The highlight of this course is definitely matrices and how matrices can be used in different ways to solve systems of equations. Also, there was a ton of new vocabulary in this course such as eigenvalues, linear independence, and QR decomposition. All of this vocabulary became confusing at some times and the tests sometimes tested our knowledge of the vocabulary through tricky true/false questions. All in all, I learned a lot about matrices and different ways that they are used even in real-world applications such as how they are used for Google Page Rank.
Hours per week:
6-8 hours
Advice for students:
Students who want to take this course should always pay attention and attend lectures, but they should especially attend recitations since at recitations, the worksheets focus on similar problems as the ones on the test and the Teaching Assistants usually explain their solutions really well. Also, make sure to complete your MyMathLab homework early since it is an easy 100 for your grade, and it helps teach you the material before the lectures.
Not too easy. Not too difficult.
Course Overview:
The course was not too rigorous, and the professor was relatively entertaining, if a little scatter-brained.
Course highlights:
I learned too much about matrices. I never thought there would be so much one could learn.
Hours per week:
6-8 hours
Advice for students:
Always do the homework. It's graded and helpful. If you miss homework, it is very easy to fall behind.
Not too easy. Not too difficult.
Course Overview:
The course is a combination of previous knowledge and new information. However, the professor made it difficult to be able to absorb and practice new concepts due to a poor quality of explanation.
Course highlights:
Relating vectors to matrices and learning about different applications of such a concept.
Hours per week:
3-5 hours
Advice for students:
You will have to learn a lot of the information yourself, so be ready to figure it out on your own!