Course Evaluation Customization Form

Viewing: MATH 104, section 01


Term: 1192 - 1192
Instructor: Guijarro Ordonez, Taylor, Luo, Liu

Learning Goals

Learn basic facts about vectors spaces and linear transformations, such as basis, dimension, rank, eigenvalues and eigenbasis, orthogonality, and how to apply these concepts to problems in network theory, cryptography, image compression, ranking algorithms, etc.
How well did you achieve this learning goal in this course?


Learn the importance of projection and singular value decomposition in dimension reduction problems, and understand related algorithms in statistics, machine learning, and data science, etc.
How well did you achieve this learning goal in this course?


Learn to formulate real world problem in the language of linear algebra and apply linear algebra techniques to solve the problem.
How well did you achieve this learning goal in this course?


Course Elements

How useful to you were the lectures?


How useful to you were the problem sets?


How useful to you was the textbook Matrix Analysis for Scientists and Engineers?


How useful to you was/were the Lecture Notes on Canvas?


How useful to you was/were the Sunday and Monday evening problem sessions?


Additional Questions

Please comment on the guidance of the course staff (instructor, teaching assistants) in preparing you to do written work (problem sets and exams).


How would you describe your level of engagement in this course?


Please comment on the overall quality of the course. What worked particularly well and in what ways might the course be improved?


Please comment, as appropriate, on how well the instructor presented the subject matter, stimulated your intellectual curiosity and independent thinking, and contributed to your knowledge of the subject matter.



Process Comments:

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