MTH 210: Intro to Linear Algebra

University of Miami, Spring 2023

Instructor: Christopher Scaduto
Email: c.scaduto @ math.miami.edu
Office: Ungar 525
Office hours: Tues/Thurs 10-11, or by appointment

Class Time and Location: 12:30-1:45 Tuesdays and Thursdays in Whitten LC 194.

Course syllabus can be found here.

Text: Introduction to Linear Algebra (5th ed) by Gilbert Strang

The sections listed below (for example § 1.1) refer to the relevant section in Strang's book.

The symbol § used below means "Section".

Homework Assignments



Assignment Due Date
Homework 1: PDF 1/26/23
Homework 2: PDF 2/9/23
Homework 3: PDF 2/21/23
Homework 4: PDF 3/9/23
Homework 5: PDF 3/23/23
Homework 6: PDF 4/4/23
Homework 7: PDF 4/13/23
Homework 8: PDF 5/4/23

Course Schedule

Date Lecture Content Reading Notes
1/17/23 Vectors. Addition and scalar multiplication. Some linear combinations. § 1.1 lec01
1/19/23 Lengths and angles. Dot product. § 1.2 lec02, vector rules
1/24/23 Lines in 2D and 3D. Planes in 3D. lec03
1/26/23 More on planes in 3D. Cross product. lec04
1/31/23 More examples. Systems of linear equations: Row/Column Pictures. § 2.1 lec05
2/2/23 Introduction to matrices. § 1.3, 2.1 lec06
2/7/23 Intro to Elimination. § 2.2 lec07
2/9/23 The Elimination Algorithm. lec08
2/14/23 Matrix multiplication and other operations. § 2.4 lec09
2/16/23 Inverse Matrices. Elimination, permutation, diagonal matrices. § 2.5, 2.3 lec10
2/21/23 Elimination with matrices. Finding inverses. § 2.3, 2.5/6 lec11
2/23/23 LU decomposition of matrices. § 2.6 lec12
2/28/23 Midterm 1 Practice Problems: pdf Practice solutions: pdf exam 1 solns
3/2/23 Vector spaces and subspaces. § 3.1 lec13
3/7/23 Spans and Column spaces. § 3.1 lec14
3/9/23 Null spaces. Rank-Nullity Theorem. Independence. § 3.2, 3.4 lec15
3/14/23 Spring break
3/16/23 Spring break
3/21/23 Independence and Bases. § 3.4 lec16
3/23/23 Dimension. Reprise of Rank-Nullity Theorem. § 3.4, 3.5 lec17
3/28/23 Application: interpolating data using polynomials. lec18
3/30/23 Intersections and sums of vector spaces, and more. lec19
4/4/23 Orthogonality. Projections. § 4.1, 4.2 lec20
4/6/23 Least squares approximation. § 4.3 lec21
4/11/23 Orthonormal bases. Gram-Schmidt. § 4.4 lec22
4/13/23 QR-factorization. Introduction to determinants. § 4.4, 5.1 lec23
4/18/23 Midterm 2 Practice Problems: pdf Practice solutions: pdf exam 2 solns
4/20/23 Determinants: cofactors, inverses, volume. (Pre-recorded lecture) vid1 vid2 § 5.2, 5.3 lec24
4/25/23 Eigenvalues and Eigenvectors. § 6.1, 6.2 lec25
4/27/23 Diagonalization of matrices. Cayley Hamilton Theorem. § 6.1, 6.2 lec26
5/10/23 Final Exam (Wednesday May 10, 11am-1:30pm, usual classroom). Additional practice problems: pdf Practice solutions: pdf