MATH 3720 01: Linear Algebra Matrix Theory

MATH 3720 - Linear Algebra and Matrix Theory

Fall 2026 Syllabus, Section 01, CRN 40508,

Credit hours: 3

Course Meeting Times

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Instructor

Sergio Zapata Ceballos

Email: srzapataceballos@ysu.edu

Public Instructor Information

Instructor Title: Assistant Professor


Instructor Professional Qualifications:
Ph. D., Mathematics, University of Western Ontario
Master’s, Mathematics, University of Western Ontario


Instructor Office Location: 639 Cafaro Hall
Instructor Office Phone: (330) 941-1421

Private Instructor Information

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Course Description

3720. Linear Algebra and Matrix Theory. Matrices; matrix operations; linear transformations; applications. Prereq.: "C" or better in either MATH 1570, MATH 1571, MATH 1571H, MATH 1581, MATH 1581H, or MATH 1585H. 3 s.h.

Course Readings

Group Title Author ISBN
Required Linear Algebra and Applications: An Inquiry- Based Approach Alayont, Feryal, and Steven Schlicker

You can find it at https://scholarworks.gvsu.edu/books/21/.


The following textbook is not required, but you may want to consider it as supplemental material: Poole, David. Linear Algebra: A Modern Introduction, 2015. A copy is available at Maag Library.

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Tentative Course Schedule

Week of Reading(s) Proposed Topic Due/To Prepare for Class
8/24 Sections 1, 2 Systems of Linear Equations
8/31 Sections 2,3 Systems of Linear Equations
9/7 Section 4 Vector Operations
9/14 Section 5 Lines and Planes
9/21 Section 6 Linear Combinations and Span
9/28 Section 12 Linear Combinations and Span
10/5 Sections 7, 8 Matrices
10/12 Sections 10 Inverse of a Matrix
10/19 Section 11 Matrix Subspaces
10/26 Section 13 Rank
11/2 Sections 35, 36 Linear Transformations
11/9 Sections 16, 21 Determinants
11/16 Sections 9, 14 Eigenvalues
11/23 Section 17 Eigenspaces
11/30 Section 18 Diagonalization
12/7 Final Exam Week

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning. 

Semester Dates

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