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School of Mathematics, Statistics and Information Technology.
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    School of Mathematics, Statistics and Information Technology.
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    COURSES.Information for potential and current students, regarding programmes and modules offered within the discipline. Also answers commonly asked questions about the discipline. COURSEWORK .Information for current students, regarding timetables, course material, practicals and tutorials for the offered modules. Our research activities in the form of staff expertise. POSTGRADUATE OPPORTUNITIES.Information for potential Masters and Phd students. Future and past seminars by visiting academics and staff. A listing of postgraduate students in Applied and Pure Mathematics. A listing of our current staff members with hyperlinks to their homepages. A brief summary of the facilities within the discipline. The discipline of Mathematics is comprised of:. Any application of mathematical techniques to solve a problem in the real world falls within the province of Applied Mathematics. Problems vary from very simple to extremely complex - from working out the petrol consumption rate of a car to calculating the flight path of a spaceship from the earth to the moon. Traditionally, at University level, Applied Mathematics concentrated on problems in Physics and Engineering. However as the availability of computers became more widespread, Applied Mathematics became increasingly involved with problems in many other disciplines. For example, at the University of KwaZulu-Natal (Pietermaritzburg), Applied Mathematicians have worked on problems in ecology, agriculture, economics and sociology. There are three basic steps in applying Mathematics to the solution of problems. The first is the 'modelling' stage in which the problem is translated into precise mathematical equations The second is the identification and use of the relevant mathematical techniques to solve that mathematical problem and the third the interpretation of the mathematical results and their implications for the original problem. In the first stage the Applied Mathematician is faced with a problem expressed in broad terms. Two examples are (i) How many colours are needed to colour a map in which countries with a common border must be coloured differently? (ii) What policies should be adopted by the South African Meat Control Board to ensure the stability of prices and supply of meat? Presented with questions such as these, the Applied Mathematician must try to quantize the problem, that is, he must identify the important variables of the problem and write down the relationships among those variables in terms of mathematical equations. At the conclusion of this stage the original problem will be expressed entirely as a mathematical problem. Problems originating from different sources often take on a similar mathematical form. So, for example, the map-colouring problem and the problem of drawing up a lecture time-table that minimizes the number of classrooms needed have similarities that suggest their solution might be found using methods from the same branch of mathematics viz ‘Combinatorics’. Similarly, the Meat Board problem and the design of a stable steering mechanism in a car both involve the use of ‘Control Theory’ for their solution. It is the task of the Applied Mathematician, in this second stage of problem solving to identify the branch of mathematics in which this problem falls and then to select and use the appropriate techniques from this branch for the solution of the mathematical problem. In the third stage the results from solving the mathematical problem must be interpreted in terms of the original real-world problem. Often the interpretation is unsatisfactory and it is necessary to reconsider the model. Eventually valid conclusions may be drawn regarding solutions of the original problem. Historically, Mathematics arises out of a human need to develop general techniques for solving practical problems. For this reason, high-school pupils are exposed largely to the kind of mathematics that lends itself to application in physics, elementary statistics, biology, ...
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DMOZ Directory Information

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    University of Natal, Pietermaritzburg
  • Directory Description:
    School of Mathematics, Statistics and Information Technology.
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    1. Science → Math → Academic Departments → Africa → South Africa
School of Mathematics, Statistics and Information Technology.
MATHS Coursework - Mathematics
Tel: (+27) 33 2605647 Fax: (+27) 33 2605648: For more information email nzimandef @
Math134 Moodle Quiz .pdf Full Version
Tutorial Times: Tue 5&6, Tue 9&10, Fri 2&3. Many venues used. Contact Mrs. Campbell if you need to ...
Math134 Moodle Quiz Documents > Updated: 2012-05-30 MATH 134 - Mathematics. Moodle Quizzes are available at Tutorial Times: THURS periods 8&9 in the Science ...
Baboolal - Pipl Directory
13th May 2006, University of KwaZulu-Natal ... D. Baboolal. UKZN-Durban. Jacek Banasiak. UKZN-Durban ... []
Math 134 Course outline 2009 - Docstoc – Documents, Templates ...
An electronic copy of this schedule and other information can be found on the course website at All the best with your studies!
IFORS 2002 Program Page - IOL Home - Phua Kang Hoh (Singapore)
Graphs on snakes - Factbites
... and Combinatorics, 15(4)(1999), 373-376. Bau, L.W. Beineke and R.C. Vandell: Decycling snakes, Congressus Numerantium, 134(1998), 79-87. /staff/bau/bau ...
Tutorial 2 Solutions - Free Download (pdf,doc,xls,rtf,ppt,pps ...
Page 1 Page 2 Page 3 Page 4 Page 5 numbers are stored for each ... ...
Differentiation Rules pdf | Download Free Differentiation Rules Ebook FACTOR THEOREM 2 - 1. FACTOR THEOREM 2.
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