Course Days and Time:
Tuesdays and Thursdays, 3:30pm - 4:50pm
Course Instructor:
Pedro Lemos
Instructor Email:
tut06359@temple.edu
Office Hours:
Mondays, Wednesdays and Fridays, 11am - 12pm
Course Materials:
This course will be based on lecture notes written by the instructor. A link to the lecture notes will be provided in the Canvas page for the course.
Recommended textbook: Anton, Howard & Rorres, Chris, Elementary Linear Algebra (Applications Version), Tenth Edition
Course grading scheme:
Homework: 10%
Weekly quizzes: 15%
Midterm 1: 25%
Midterm 2: 25%
Final: 25%
Course prerequisites:
Minimum grade of C in (MATH 1042, MATH 1942, MATH 1951, 'Y' in MA07, 'Y' in MATW, 'Y' in CRMA09, or 'Y' in CRMA11)
Course goals:
- Use Gauss elimination to solve linear systems of equations.
- Understand the basics of matrix algebra.
- Understand fundamental linear algebra concepts such as basis and dimension of a vector space.
- Be able to calculate eigenvalues and eigenvectors of linear endomorphisms of finite-dimensional vector spaces.
- Understand and be able to use the Gram-Schmidt orthogonalization process.
Topics covered:
Only vector spaces over the real numbers will be considered in this course.
- Linear systems and Gauss elimination.
- Vectors and matrices.
- Linear Transformations.
- Eigenvalues and Eigenvectors.
- Vector spaces.
- Orthogonality and the Gram-Schmidt process.
Exam dates:
Midterm 1: Thursday, February 12, 3:50pm - 4:50pm
Midterm 2: Thursday, March 26, 3:50pm - 4:50pm
Final: Tuesday, May 5, 1pm - 3pm
Technology Specifications for this Course:
No computers, calculators, phones or smart watches may be used during exams or quizzes.
Course Days and Time
Tuesdays and Thursdays, 3:30pm - 4:50pm
Your office hours
Mondays, Wednesdays and Fridays, 11am - 12pm
Course materials
This course will be based on lecture notes written by the instructor. A link to the lecture notes will be provided in the Canvas page for the course.
Recommended textbook: Anton, Howard & Rorres, Chris, Elementary Linear Algebra (Applications Version), Tenth Edition
Course grading scheme
Homework: 10%
Weekly quizzes: 15%
Midterm 1: 25%
Midterm 2: 25%
Final: 25%
Course prerequisites
Minimum grade of C in (MATH 1042, MATH 1942, MATH 1951, 'Y' in MA07, 'Y' in MATW, 'Y' in CRMA09, or 'Y' in CRMA11)
Course goals
- Use Gauss elimination to solve linear systems of equations.
- Understand the basics of matrix algebra.
- Understand fundamental linear algebra concepts such as basis and dimension of a vector space.
- Be able to calculate eigenvalues and eigenvectors of linear endomorphisms of finite-dimensional vector spaces.
- Understand and be able to use the Gram-Schmidt orthogonalization process.
Description of topics covered
Only vector spaces over the real numbers will be considered in this course.
- Linear systems and Gauss elimination.
- Vectors and matrices.
- Linear Transformations.
- Eigenvalues and Eigenvectors.
- Vector spaces.
- Orthogonality and the Gram-Schmidt process.
Exam dates
Midterm 1: Thursday, February 12, 3:50pm - 4:50pm
Midterm 2: Thursday, March 26, 3:50pm - 4:50pm
Final: Tuesday, May 5, 1pm - 3pm
Technology Specifications for this Course
No computers, calculators, phones or smart watches may be used during exams or quizzes.
Course Instructor
Pedro Lemos
Instructor Email
tut06359@temple.edu