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:
20710-214(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:
808-4228
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 Prep-page Memo
2nd Test Saturday, 27 May 2017 14:00 Maths & Ind. Psycology Build. 1005 Prep-page 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





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 P:\nat\data\TW214 to the PATH list.

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(2017)

Applied Matrix Methods



Lecturer

MF Maritz

  Dr Milton Maritz
  Engineering Building A416
  mfmaritz 'at' sun.ac.za
  (021) 808-4228



Class Rep.

The Class Representative of this module is

Josh Coetzer
Email: 20059884@sun.ac.za
Cell: 079 5202 641