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Syllabus and Course Information, Fall 2023
MATH 225 SL1 at TR 3:00pm-3:50pm in 1WOHLR 141
1. Textbook: Linear Algebra and its Applications, 6thedition by David C. Lay,
Stephen R. Lay, and Judi J. McDonald, Addison-Wesley
Some course material including an online version of the text will be available from a
Pearson MyLab website for which you need the following login information:
Course Name: MATH 225 Fall 2023
Course ID: bradlow43862
2. Syllabus:
Chapter 1: Linear Equations in Linear Algebra
1.1 Systems of Linear Equations
1.2 Row Reduction and Echelon Forms
1.3 Vector Equations
1.4 The Matrix Equation Ax=b
1.5 Solution Sets of Linear Systems
1.6 Applications
1.7 Linear Independence
Chapter 2: Matrix Algebra
2.1 Matrix Operations
2.2 The Inverse of a Matrix
2.3 Characterizations of Invertible Matrices
2.6 The Leontief Input-Output Model
Chapter 3: Determinants
3.1 Introduction to Determinants
3.2 Properties of Determinants
3.3 Cramer's Rule, Volume, and Linear Transformations
Chapter 4: Vector Spaces
4.1 Vector Spaces and Subspaces
4.2 Null spaces, Column Spaces, and Linear Transformations
4.3 Linearly Independent Sets: Bases
4.5 The Dimension of a Vector Space
4.6 Change of basis
Chapter 5: Eigenvalues and Eigenvectors
5.1 Eigenvalues and Eigenvectors
5.2 The Characteristic Equation
5.3 Diagonalization
Chapter 6: Orthogonality and Least Squares
6.1 Inner Product, Length, and Orthogonality
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Syllabus and Course Information, Fall 2023

MATH 225 SL1 at TR 3:00pm-3:50pm in 1WOHLR 141

1. Textbook: Linear Algebra and its Applications, 6th^ edition by David C. Lay, Stephen R. Lay, and Judi J. McDonald, Addison-Wesley Some course material including an online version of the text will be available from a Pearson MyLab website for which you need the following login information: Course Name: MATH 225 Fall 2023 Course ID: bradlow 2. Syllabus: Chapter 1: Linear Equations in Linear Algebra 1.1 Systems of Linear Equations 1.2 Row Reduction and Echelon Forms 1.3 Vector Equations 1.4 The Matrix Equation Ax=b 1.5 Solution Sets of Linear Systems 1.6 Applications 1.7 Linear Independence Chapter 2: Matrix Algebra 2.1 Matrix Operations 2.2 The Inverse of a Matrix 2.3 Characterizations of Invertible Matrices 2.6 The Leontief Input-Output Model Chapter 3: Determinants 3.1 Introduction to Determinants 3.2 Properties of Determinants 3.3 Cramer's Rule, Volume, and Linear Transformations Chapter 4: Vector Spaces 4.1 Vector Spaces and Subspaces 4.2 Null spaces, Column Spaces, and Linear Transformations 4.3 Linearly Independent Sets: Bases 4.5 The Dimension of a Vector Space 4.6 Change of basis Chapter 5: Eigenvalues and Eigenvectors 5.1 Eigenvalues and Eigenvectors 5.2 The Characteristic Equation 5.3 Diagonalization Chapter 6: Orthogonality and Least Squares 6.1 Inner Product, Length, and Orthogonality

6.2 Orthogonal Sets 6.3 Orthogonal Projections 6.4 The Gram-Schmidt process 6.5 Least Squares Problems 6.6 Machine learning and linear models

3. Homework: Homework assignments will be posted on the MyLab website and you will submit your answers online. All the problems are important! You cannot master the course material without working through examples. As added incentive to do the homework, all exams (midterms and final) will include questions either taken directly from, or modeled closely on, the homework sets. 4. Exams: There will be two midterms and a final exam. The (tentative) dates for the midterms are  Thursday February 17 and  Thursday March 31. Both midterms will be 50-minute exams at the usual class time. The dates will be confirmed and syllabi for the midterms will be announced at least one week in advance. The tentative date of the final exam is  **8:00-11:00 a.m., Thursday, May 12

  1. Grades:** Your grade for the course will be determined by a weighted average of your scores for homework, 2 midterms and a final. The weights of each will be: Homework 10% * Midterms 1 25% Midterms 2 25% Final 40% *** Your lowest homework score will be excluded** Letter grades for the course will be `curved', with the class average corresponding to the boundary between a C and a B. 6. Instructor details and Office Hours: Steve Bradlow 362 Altgeld Hall Office Hours: 10am-11am on Thursday.
  2. Grader: Muhammad Raza (12 hours)