Announcements
 There was an error in the marks as it appeared on the SunLearn system. We have now corrected it. I apologize! An updated marks sheet is available here.
 Memos of Test 2 and 3 are available under the link EVALUATION.
 In order to view the notes or the problem sets, you must type 'matrix' as user name, and use the password that was given in class.
Introduction
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.
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Module info
Module Code: 20710214(16) 
Module Name: Applied Mathematics 214 
Module Description: Applied Matrix Methods 
US Credits: 16 
Year: 2 Semester: 1 
Lecturing load: 3.00 lectures, 3.00 Tutorials (per week) 
Home Department: Mathematical Sciences:Applied Mathematics 

Lecturer: Dr MF Maritz 
Office: A416 
Telephone: 8084228 
Email: mfmaritz@sun.ac.za 
Classification:  Mathematics: 75% 
Basic Science: 5 % 
Computer Applications: 20 % 
Requirements:  Pass None 
Prerequisites: Math. 144 
By requisites: None 
Assessment:  Method: Continuous evaluation 
Formulae for the calculation of marks will be published in the Module info sheet only 
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Assessment
The assessment of this module is done according to the method of Continuous Evaluation.
You will write two large tests called Class Tests, each covering about one half of the work done during the semester. The marks obtained for these two tests account for 68% of your final pass mark. There will be an optional third test during the examination period, which must be written only by those who do not yet have enough marks to pass. The third test will cover all the work done during the semester.
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 32% of your final pass mark.
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Tests
Event  Date  Time  Venue  Preparation  Memo 
1st Test  Friday, 10 March 2017  17:30  A503A and A503B  Preppage  Memo 
2nd Test  Saturday, 27 May 2017  14:00  Maths & Ind. Psycology Build. 1005  Preppage  Memo , Two missing pages 
3rd Test  Monday 12 June 2017  14:00  Engineering build. S302  Test covers all the work. Use the above Prep. pages of Tests 1 and 2.  Memo 
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Download
 Old Notes
 Module Info Sheet
 Module Outcomes
D3functions in MATLAB
In order to access the functions in the D3package (such as D3axis, D3vector, etc.) make sure that you add the path P:\nat\data\TW214 to the PATH list.