MATH10200 Matrix Algebra

Academic Year 2022/2023

This is an introductory module in matrix algebra designed for computer science students. A course outline is as follows: Systems of linear equations (solving systems of linear equations, in/consistent solutions, solution sets), Matrix Operations (addition and multiplication of matrices, properties of matrix operations (assoc., dist. Laws etc), transpose, trace, inverse, determinant, partitioned matrices), and applications. Students may be introduced to a mathematics software system.

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Curricular information is subject to change

Learning Outcomes:

On successful completion of this module students will be able to solve systems of linear equations and be able to apply this technique in a variety of ways. In addition students will be fully competent in basic matrix algebra. At the end of this module students will met several applications of matrices.

Indicative Module Content:

matrix arithmetic: addition, multiplication, transpose
systems of linear equations: solving SLEs, gaussian elimination, Gauss-Jordan algorithm, applications of SLEs
square matrices: computing determinants, invertibility, computing inverses, properties of determinants
further SLEs: consistency theorems, applications

Student Effort Hours: 
Student Effort Type Hours
Lectures

24
Tutorial

11
Specified Learning Activities

30
Autonomous Student Learning

40
Total

105
Approaches to Teaching and Learning:
lectures, tutorials, enquiry and problem-based learning 
Requirements, Exclusions and Recommendations
Learning Exclusions:

This is a first course in matrix algebra. Students taking this course should have not already successfully completed a course in linear algebra or matrix algebra at any level.


Module Requisites and Incompatibles
Incompatibles:
MATH10030 - Maths for Business, MATH10090 - Matrices & Vectors, MATH10120 - Linear Algebra Apps to Econ, MATH10280 - Linear Algebra in the Phys.Sci, MATH10290 - Linear Algebra for Science, MATH10340 - Linear Algebra 1 (MPS), MST10030 - Linear Algebra I

Additional Information:
This is a first course in matrix algebra. Students registered to this course should have not already successfully completed a module in linear algebra or matrix theory.


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Practical work, quizzes, assignments and tests may be implemented by the course instructor. Varies over the Trimester n/a Alternative linear conversion grade scale 40% No

30
Examination: Final exam 2 hour End of Trimester Exam No Alternative linear conversion grade scale 40% No

70

Carry forward of passed components
No
 
Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Kevin Allen Tutor
Mr Andrew Fulcher Tutor
Matteo Lotriglia Tutor
Zhe Yu Tutor