Average Rating (from 3 Students)
Course Difficulty
Easy 0%
Medium 33%
Hard 67%
Top Course Tags
Math-heavy
Background Knowledge Expected
Competitive Classmates
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.
Not too easy. Not too difficult.
Course Overview:
The class is not too useful, but not too hard
Course highlights:
anything related to matrices, and some theory
Hours per week:
3-5 hours
Advice for students:
The class is not as bad as calc 2 or calc 3, so students should be fine
This class was tough.
Course Overview:
I recommend this course if you have a scientific major or background. Linear algebra really fills in the gaps of your knowledge such as understanding why the Cross Product is the cross product.
Course highlights:
I learned how to manipulate systems of equations and navigate my way through the universe of theoretical vector spaces.
Hours per week:
6-8 hours
Advice for students:
Stay ahead on the homework and use khan academy to help explain concepts.