- Course Code :
MTH 312
- Level :
Undergraduate
- Course Hours :
3.00
Hours
- Department :
Department of Electrical Engineering
Instructor information :
Area of Study :
Statistical concepts and methods are widely applied in many areas of human activities. They are extensively used in the physical, natural, and social sciences. Statistical analyses are involved in all the engineering disciplines. In many cases such analyses are helpful in making choices regarding designs, materials, procedures, technologies, or methods.
The course aims at providing the student with an understanding of the concepts and applications of basic statistical techniques and fundamental knowledge of probability used in science. A thorough grounding in these concepts allows any one to have a better understanding of statistical inference. Without some formalism in probability the student cannot appreciate the true interpretation of data analysis through modern statistical methods. It is quite natural to study probability prior to studying statistical inference. Elements of probability allow us to quantify the strength or "confidence" in our conclusions.
This course covers various topics such as Data analysis, probability concept, distributions of random variables, the central limit theorem and sampling distributions, introduction to statistical inference, , correlation and regression.
For further information :
Probability: Definitions and concepts, Conditional probability, Statistical independence and Baye's theorem, Discrete and continuous random variables, Distribution functions, Probability distributions: normal, binomial, Poisson,…, Joint distributions and moments, Numerical Analysis: numerical solution of systems of linear and nonlinear algebraic equations, methods for numerical solution of ordinary differential equations (Euler, modified Euler and Runge, Kutta methods), Finite difference method for partial solutions of differential equations.
For further information :