Math 221 - Introduction to Linear Algebra

Fall 2024 - Matthias K. Gobbert

Detailed Schedule - Last Updated 11/19/2024

The chapter and section numbers refer to David C. Lay, Steven R. Lay, Judi J. McDonald, Linear Algebra and Its Applications, 6th edition, Pearson, 2021.
This course is taught in a flipped classroom format. This means that you need to study the material and work the homework before class! Recorded lectures and the textbook are provided for contents delivery and we will use Pearson's MyLab for the online homeworks. This homework system includes an interactive eText, a Study Plan, hints ("Help me solve this" and "View an example" with every problem), and (essentially) unlimited number of attempts.
In each class meeting, we will then address questions on the material inspired by the textbook, lectures, and homework, and then work actively in teams. Finally, at the end of most class meetings will be a quiz. The detailed schedule specifies the exact section for each meeting.
The two-digits numbers in homeworks HW x.y and individual quizzes IQ x.y indicate the section number, that is, Chapter x, Section x.y of both. The abbreviation BQ refers to an individual quiz in Blackboard. The abbreviation GQ refers to a group quiz in class. HW 0 is a required homework to be submitted in Blackboard.

Class	Date	Main Topic	Notes
1	Th 08/29	GQ0a intro., Overview, and Mechanics of the Course	BQ0a, BQ0b, Pre-ass., HW0 gen.
2	Tu 09/03	1.1 Systems of Linear Equations	HW 1.1, IQ 1.1
3	Th 09/05	1.2 Row Reduction and Echelon Form	HW 1.2, IQ 1.2
4	Tu 09/10	1.3 Vector Equations	HW 1.3, IQ 1.3
5	Th 09/12	1.4 The Matrix Equation A x = b	HW 1.4, IQ 1.4
6	Tu 09/17	1.5 Solution Sets of Linear Systems	HW 1.5, IQ 1.5
7	Th 09/19	1.7 Linear Independence	HW 1.7, IQ 1.7
8	Tu 09/24	1.8 Introduction to Linear Transformations	HW 1.8, IQ 1.8
9	Th 09/26	1.9 The Matrix of a Linear Transformation	HW 1.9, IQ 1.9
10	Tu 10/01	2.1 Matrix Operations	HW 2.1, IQ 2.1
11	Th 10/03	2.2 The Inverse of a Matrix	HW 2.2, IQ 2.2
12	Tu 10/08	2.3 Characterizations of Invertible Matrices	HW 2.3, IQ 2.3
13	Th 10/10	Test 1 (Chapters 1 and 2)
14	Tu 10/15	4.1 Vector Spaces and Subspaces, Examples (Chapter 4)	HW 4.1, IQ 4.1
15	Th 10/17	4.2, 4.3 Null Space, Column Space, Basis	HW 4.2-4.3, IQ 4.2-4.3
16	Tu 10/22	4.4, 4.5 Dimension and Rank Theorem	HW 4.4-4.5, IQ 4.4-4.5
17	Th 10/24	3.1 Introduction to Determinants	HW 3.1, IQ 3.1
18	Tu 10/29	3.2 Properties of Determinants	HW 3.2, IQ 3.2
19	Th 10/31	5.1 Eigenvectors and Eigenvalues	HW 5.1, IQ 5.1
20	Tu 11/05	5.2 The Characteristic Equation	HW 5.2, IQ 5.2
21	Th 11/07	5.3 Diagonalization	GQ0c learning
22	Tu 11/12	5.3 Diagonalization	HW 5.3, IQ 5.3
23	Th 11/14	Test 2 (Chapters 2, 3, 4, and 5)
24	Tu 11/19	6.1 Inner Product, Length, and Orthogonality	HW 6.1, IQ 6.1
25	Th 11/21	6.2 Orthogonal Sets	HW 6.2, IQ 6.2
26	Tu 11/26	6.3 Orthogonal Projections	HW 6.3, IQ 6.3
	Th 11/28	Thanksgiving Holiday
27	Tu 12/03	6.4 The Gram-Schmidt Process	HW 6.4, IQ 6.4
28	Th 12/05	7.1 Diagonalization of Symmetric Matrices	HW 7.1, IQ 7.1
29	Tu 12/10	Review	Post-assessment
	Th 12/12	01:00-03:00 Final Exam (Chapters 1 through 6) in ITE 102	Note the day, time, and room!