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LINEAR ALGEBRA

Course
MATH121 - LINEAR ALGEBRA
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
2
ECTS
3
T+P+L
2 + 0 + 0
Course Coordinator(s)
Dr. Temitayo Margaret OMOYENI
Prerequisite
Keywords

Course Description

The aim of this course is to introduce the basic operations in linear algebra and applications in engineering problems; matrices, matrix properties and matrix operations: Addition, scalar multiplication, multiplication, transpose, solution of system of linear equations: Elimination method, Gauss Jordan forms, inverse method to solve linear systems, row reduced echelon forms, Gaussian elimination method, inverse and determinants: solving linear equations with determinant (Cramer's rule), use one row to evaluate determinant, minor, cofactor, adjoint matrix, identity matrix, square matrix of the matrices. Real vector spaces, vectors and their properties and applications in engineering: Addition, subtractions, dot product, scalar multiplication, cross product, basis, dimensions and subspaces.

LINEAR ALGEBRA

Evaluation Tools (Active Term)

Item Type Weight (%)
Final Exam Final 50
Midterm Exam Midterm 40
Quiz Quiz 10
Total 100

Course outcomes

  1. 01 Solve linear equations
  2. 02 Apply Matrix Operations
  3. 03 Find determinants
  4. 04 Find inverse matrix
  5. 05 Find Cofactor Matrix
  6. 06 Apply Cramer Rule

Course Syllabus

Week Topic
Week 1 Introduction
Week 2 Matrices, matrix operations.
Week 3 Linear Equations.
Week 4 Solutions of System of linear Equations by Different methods.
Week 5 Inverse Matrix.
Week 6 Determinants.
Week 7 Properties of determinants and properties of some special types of matrices.
Week 8 Midterm Week
Week 9 Midterm Week
Week 10 Invertable Matrices and Properties
Week 11 Cofactor and Minors
Week 12 Cramer's Rule.
Week 13 Solutions of linear systems: Applications of Cramer Rule
Week 14 Final Exam
Week 15 -

Reference Books & Course Materials

  1. 01 Seymour Lipschutz; 2011, “Schaum's Outline of Linear Algebra; 5 th Edition, ISBN 0-07-136200-2.
  2. 02 Gilbert Strang; Linear Algebra and Applications, 4 th Edition, ISBN-10: 0030105676, ISBN-13: 9780030105678.

Learning Outcomes

  1. L01 By the completion of the course the students should be able to do the following:
  2. L02 Solve linear equations
  3. L03 Matrix operations
  4. L04 Calculate determinants
  5. L05 Find inverse matrix
  6. L06 Understand vector space and do simple operations with vectors

Program Outcomes

  1. P01 Be able to understand and apply security protocol and tools to security challenges faced in organizations
  2. P02 Be able to design security software to combat security issues
  3. P03 Be able to identify, categorize, and develop security solutions for computer orientated challenges.
  4. P04 Be able to demonstrate autonomy and responsibility in managing computer security projects
  5. P05 Be able to follow the state of the arts concepts in computer technology security
  6. P06 Be able to design, implement, and evaluate a computational system to meet desired security needs within realistic constraints
  7. P07 Be able to use appropriate security techniques, protocols, skills, and tools necessary for securing computer systems
  8. P08 Be able to apply effective communication skills consistent with the professional environment
  9. P09 Be able to apply effective collaboration skills in teamwork consistent with the professional environment
  10. P10 Be able to apply appropriate security technology and techniques to facilitate a safe operation in an organization

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -
L06 - - - - - - - - - - -