The ur-document: Syllabus
My office hours are Th 3-4:30 and F 2-3 in Padelford C-332. .
Midterm is Friday February 3 in class.
Final is Wednesday March 14 from 2:30-4:20 in our normal classroom.
Schedule: We should cover all of chapter 1 before the first midterm. Then we will cover the entirety of chapter 3. We will then cover chapter 4 except for 4.6 and 4.7 with the rest of the time in class. If you miss, it should be easy to figure out what material was covered as we will go in order.
Homework will be due at 3:00pm in the box by my office door on the dates listed below.
Homework:
| Due Date | Assignment |
|---|---|
| January 13 | 1.1: 16, 20, 32, 34, 38; 1.2: 28, 42, 44, 50, 52; 1.3: 10, 20, 24, 28, 32; 1.4 2, 4, 6, 8, 7 |
| January 27 | 1.5: 10, 18, 40, 44, 48, 50, 58; 1.6: 16, 20, 22, 26, 43, 46; 1.7: 22, 26, 40, 50, 52 |
| February 3 | 1.9: 6, 8, 12, 13, 18, 24, 27, 32, 48, 53, 58, 60, 68, 72, 75, 76 |
| February 10 | 3.2: 6, 10, 14, 20, 22, 28, 30, 32; 3.3: 4, 10, 14, 18, 26, 28, 34, 36, 44, 45, 48, 50 |
| February 17 | 3.4: 12, 14, 22, 24, 28, 32, 34, 36; 3.5: 10, 12, 14, 18, 22, 24, 26, 28, 34, 40 |
| February 24 | 3.6: 4, 8, 10, 12, 18, 20,22; 3.7: 8, 10, 12, 19, 22, 26, 40 |
| March 2 | 3.7: 24, 28, 33, 34, 39, 44; 3.8: 3, 8, 12; 4.1: 6, 10, 14, 17; 4.2: 12, 16, 22, 24, 26, 30 |
| Not Collected | 4.3: 10, 12, 20, 22, 27; 4.4: 5, 11, 15, 16, 17; 4.5: 13, 15, 19; 4.6: 19, 23, 36, 41; 4.8: 9, 11, 19, 20, 21 |
Diagnostic Quizzes:
Terms you should learn for the first exam: augmented matrix, echelon form, reduced echelon form, homogeneous equation, trivial solution to the homogeneous equation, non-trivial solution to the homogeneous equation, scalar (dot) (inner) product, vector form of the general solution to a system of linear equations, transpose, symmetric, linear combination, linear (in)dependence, (non)singular matrix, inverse (invertible) matrix
Terms you should know for the final exam in addition to the terms for the first exam: know the words subspace, span, nullspace, range, row space, spanning set, basis, dimension, orthogonal set, orthogonal basis, orthonormal basis, gram-schmidt process, linear transformations, matrix form of linear transformation, orthogonal transformations, rotations in 2-dimensions, least-squares fit process, eigenvalue, eigenvector, eigenspace, defective matrices, characteristic polynomial, determinats, algebraic multiplicity, geometric multiplicity, difference equations, Markov chains.
Tips for Final As you know, the final is cummulative. It will of course offer more focus on chapter 3 and 4 than the earlier material. The best way to study, and hopefully you trust me on this now, is to look at the diagnostic quizzes. Once you've mastered that, move onto the supplementary exercises and conceptual exercises at the end of chapters 3 and 4 in the book. I'll host office hours on Monday and Tuesday from at 12-2. Good luck.