Entry requirements

Single Variable Calculus or Derivatives and Integrals.

Learning outcomes

On completion of the course, the student should be able to:

Content

The probability concept. Independence, conditional probability. Random variables. Common probability distributions. Expected value, variance. The law of large numbers. The central limit theorem. Applied probability problems. Statistical investigations. Descriptive statistics. Point and interval estimation. Regression analysis.

Instruction

Lectures and problem solving sessions.

Assessment

Written examination at the end of the course combined with assignments given during the course.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.