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
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
- 01 Solve linear equations
- 02 Apply Matrix Operations
- 03 Find determinants
- 04 Find inverse matrix
- 05 Find Cofactor Matrix
- 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
- 01 Seymour Lipschutz; 2011, “Schaum's Outline of Linear Algebra; 5 th Edition, ISBN 0-07-136200-2.
- 02 Gilbert Strang; Linear Algebra and Applications, 4 th Edition, ISBN-10: 0030105676, ISBN-13: 9780030105678.
Learning Outcomes
- L01 By the completion of the course the students should be able to do the following:
- L02 Solve linear equations
- L03 Matrix operations
- L04 Calculate determinants
- L05 Find inverse matrix
- L06 Understand vector space and do simple operations with vectors
Program Outcomes
- P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
- P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
- P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
- P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
- P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
- P06 Ability to design creative solutions to complex engineering problems.
- P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
- P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
- P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
- P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
- P11 Ability to design experiments for the investigation of complex engineering problems.
- P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
- P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
- P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
- P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
- P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
- P17 Ability to work effectively as an individual.
- P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
- P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
- P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
- P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
- P22 Knowledge of professional practices such as project management and economic feasibility analysis.
- P23 Awareness of entrepreneurship and innovation.
- P24 Ability for independent and lifelong learning.
- P25 Ability to adapt to new and emerging technologies.
- P26 Lifelong learning ability that includes the capacity to think critically about technological changes.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | P12 | P13 | P14 | P15 | P16 | P17 | P18 | P19 | P20 | P21 | P22 | P23 | P24 | P25 | P26 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |