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We live in a complex world surrounded by unprecedented accumulation of technological tools. Yet, behind every modern equipment there is a long history of conceptual developments, the great majority of which involve mathematical ideas. Examples of mathematical thought which had societal impact are abundant, from John von Neumann’s foundations of computer science, subsequent work of a great many mathematicians on data compression used in CD players, or the mathematical work of Google’s founders on the webpage ranking system, to mention just a few. All these examples bear witness to the relevance of mathematical reasoning in modern life.
Applied Mathematics is a cumulative body of mathematical knowledge acquired in a direct response to the challenges of the human development, or adapted from pure mathematics to deal with concrete scientific or engineering questions. One of the most common manifestations of the use of mathematics in addressing practical problems is mathematical modelling. Mathematical models are widely used in all avenues of science and engineering, in fields as diverse as economics, bioinformatics, image processing, epidemiology, as well as the more traditional fields of physics or chemistry.
- The undergraduate program is for anyone who is interested in science or engineering and wishes to strengthen their mathematical competency in order to deal with quantitative aspects or conceptual underpinnings of their area of applications.
- The undergraduate program in Applied Mathematics is aimed to equip students with basic mathematical knowledge and skills to analyze and solve problems arising in other subject areas.
Goals of the Applied Mathematics program
- Graduates of the Applied Mathematics program will have the knowledge and skills to help solve real world problems in population dynamics, biological modelling, financial mathematics.
- An undergraduate program in Applied Mathematics is designed to equip students with the modelling skills needed for their choice of field of application.
- MATH 211: Numerical Analysis I
An introductory course. Topics include errors, solutions of linear and non-linear equations, interpolation, numerical integration, solutions of ordinary differential equations.
- MATH 336: Mathematical Modelling I
The course is designed to teach students how to apply Mathematics by formulating, analyzing and criticizing models arising in real-world situations. An important aspect in modelling a problem is to choose an appropriate set of mathematical methods - 'tools' - in which to formulate the problem mathematically. In most cases a problem can be categorized into one of three types, namely: continuous, discrete, and probabilistic. The course will consist of an introduction to mathematical modelling through examples of these three basic modelling types.
- MATH 465: Introduction to Cryptography
Presents a thorough introduction to the mathematical foundations of cryptography. Results from number theory and algebra and how they are used for the safe transmission of information are studied. Various security protocols, the mathematical principles needed for them, and the mathematical principles used in possible attacks are examined.
The same as in application areas, enhanced by acquired -thanks to the program- collection of quantitative skills.
- Applied Mathematician in industry
- University Professor
- High-School Teacher
- Financial Consultant at a major world bank or a Stock Brokerage
- Consultant in government departments
- Problem-solving skills
- Research skills and methods
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