• Assessment 3: If it says 'Module Continued' next to your student number on the official university marks facility, you have not passed yet and you are allowed to write Assessment 3 (in fact, you are invited to come and write it!). The mark for Assessment 3 will replace the mark of your worst mark of A1 and A2. It is written on Tuesday 26 June, at 14:00 in the Engineering Building A403A. Use the preparation pages of both Test 1 and Test 2. It is under the tab EVAL. Remember that A3 covers ALL THE WORK.
  • Student feedback: The link for student feedback on Applied Maths 214 as well as the lecturer is available on SunLearn under this module. You are invited to give feedback. It is anonymous.


The central theme of this course is various matrix decompositions and their uses in applications. You will be taught LU decomposition, QR decomposition, eigenvalue decomposition and singular value decomposition. Each of these decompositions is a step in the solution of a problem that can be cast as a matrix equation.

Examples of applications which you will become acquainted with, are the following: fitting of curves to data points, reflections, projections and rotations (applications in robotics, orientation of satellites in space, computer graphics), population dynamics, models in economics, electrical systems and image processing.

You will also acquire skills in manipulating matrices and vectors symbolically (i.e. you work with matrices and vectors without referring to the individual elements).

The software package MATLAB is used intensively as a computational laboratory to investigate new concepts, to solve problems and to supplement the classroom lectures. You will get to know MATLAB fairly well during this course - a skill that may come in handy later.


Module info

Module Code:
Module Name:
Applied Mathematics 214
Module Description:
Applied Matrix Methods
US Credits:
Year: 2
Semester: 1
Lecturing load:
3.00 lectures, 3.00 Tutorials (per week)
Home Department:
Mathematical Sciences:Applied Mathematics
Dr MF Maritz
Classification: Mathematics:
Basic Science:
5 %
Computer Applications:
20 %
Requirements: Pass
Math. 144
By requisites:
Assessment: Method:
Continuous evaluation
Formulae for the calculation of marks
will be published in the Module info sheet only



The assessment of this module is done according to the method of Flexible Assessment.

You will write two large tests called 'Assessments'. The first such test is called A1 and it is written close to the end of the first term. The second test, called A2, is written during the first examination period. Each test covers about one half of the work done during the semester. The marks obtained for A1 account for 40% of your final pass mark, and similarly the marks obtained for A2 account for 40% of your final pass mark. There will be an optional third test (called A3) during the second examination period, which must be written only by those who do not yet have enough marks to pass, or those who missed one test because of a valid reason. The third test will cover all the work done during the semester. Its marks will replace the worst mark of either A1 or A2.

Each week, you will also write a smaller test, called the Tut Test. This test is written at the end of the tutorial session (at about 16:10) and covers the work done during that tutorial session. You should therefore not waste time during the tutorial session, but start working immediately, because you will be tested on your knowledge of that work about two hours later. Tutorial problems will be posted on this web site on the Monday before the tutorial session, so that you may already start working on these problems at home.

The marks obtained for the Tut Tests will contribute to the remaining 20% of your final pass mark.


Assessment Dates

Event Date Time Venue Preparation Memo
A1 Friday, 13 April 2018 17:30-19:30 Engineering A203 Prep-page Memo
A2 Saturday, 2 June 2018 14:00 to be announced Prep-page Memo
A3 Tuesday 26 June 2018 14:00 Eng.Build. A403A Test covers all the work. Use the above Prep. pages of Tests 1 and 2. Memo



D3-functions in MATLAB

In order to access the functions in the D3-package (such as D3axis, D3vector, etc.) make sure that you add the path \\\assignments\nat\Applied Mathematics\TW214 .




Applied Matrix Methods


MF Maritz

  Dr Milton Maritz
  Engineering Building A416
  mfmaritz 'at'
  (021) 808-4228

Class Rep.

The Class Representative of this module is

Mr Luca Singels
Cell: 0727548542