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Section 1 Schedule

Subsection 1.1 December 2 – December 6

12/2	12/3	12/4	12/5	12/6
		1.1 What we can expect		1.2 Finding solutions to linear systems

Subsection 1.2 December 9 – December 13

12/9	12/10	12/11	12/12	12/13
1.3 Computations with Sage		1.4 Pivots and their influence on solution spaces		2.1 Vectors and Linear Combinations

Subsection 1.3 December 16 – December 20

12/16	12/17	12/18	12/19	12/20
2.2 Matrix multiplication and linear combinations		2.2 Matrix multiplication and linear combinations 2.3 The span of a set of vectors		2.3 The span of a set of vectors

Subsection 1.4 January 6 – January 10

1/6	1/7	1/8	1/9	1/10
2.4 Linear independence		2.5 Matrix transformations		Classes Cancelled (Rain).

Subsection 1.5 January 13 – January 17

1/13	1/14	1/15	1/16	1/17
Reassessment 1		3.1 Invertibility		3.2 Bases and coordinate systems

Subsection 1.6 January 20 – January 24

1/20	1/21	1/22	1/23	1/24
Martin Luther King Jr. Day No Classes		Section 3.4 Determinants		Section 3.4 Determinants 3.5 Subspaces

Subsection 1.7 January 27– January 31

1/27	1/28	1/29	1/30	1/31
4.1 An introduction to eigenvalues and eigenvectors		4.2 Finding eigenvalues and eigenvectors		4.3 Diagonalization, similarity, and powers of a matrix

Subsection 1.8 February 3– February 7

2/3	2/4	2/5	2/6	2/7
Reassessment 2		Section 6.1: The dot product		Last day to drop courses or resign with “W” grades 6.2 Orthogonal complements and the matrix transpose

Subsection 1.9 February 10 – February 14

2/10	2/11	2/12	2/13	2/14
6.2 Orthogonal complements and the matrix transpose		6.3 Orthogonal bases and projections		6.3 Orthogonal bases and projections

Subsection 1.10 February 17– February 21

2/17	2/18	2/19	2/20	2/21
6.4 Finding orthogonal bases		Review		Reassessment 3

Subsection 1.11 February 24– February 28

2/24	2/25	2/26	2/27	2/28
Review		Final Reassessment	Last Day of Classes

Warning 1.1.

The instructor reserves the right to modify the schedule as needed.

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