Term: 1192 - 1192

Instructor: Conrad

**Relate the algebra of linear equations to geometric ideas with vectors (e.g., orthogonality, dimension, subspaces).**

How well did you achieve this learning goal in this course?

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**Analyze the behavior of multivariable functions via partial derivatives, and combine that information with tools of linear algebra (such as vectors, matrices, and eigenvalues) to solve optimization problems and characterize critical points (e.g., local maximum, local minimum, saddle point).**

How well did you achieve this learning goal in this course?

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**Use projections and matrix algebra to perform tasks (e.g. best-fit line determination, Markov process analysis, basis computation, QR decomposition) that have wide use in modern applications.**

How well did you achieve this learning goal in this course?

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How useful to you were the **discussion sections**?

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How useful to you were the **lectures**?

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How useful to you were the **problem sets**?

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How useful to you was the textbook **Linear Algebra, Multivariable Calculus, and Modern Applications (electronic text)**?

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How useful to you was/were the **practice exams and solutions**?

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How useful to you was/were the **office hours with course staff**?

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How useful to you was/were the **SUMO tutoring sessions**?

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**How well did the textbook readings prepare you for lectures? (Answer if you participated in pre-class readings; if you didn't participate, please leave this question blank.)**

- Extremely well
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**Did you feel comfortable asking or answering questions in your lectures?**

- Yes
- No

**What aspects of lectures and discussion sections were most useful to you? Please elaborate.**

**In what ways could lectures or discussion sections be improved? Please be as specific and constructive as possible.**

**Besides for doing pre-class readings, in what ways did you find the course textbook useful (if any)? Please be as specific as possible.**

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