Courses Catalogue

Probability And Statistics

COURSE CODE: COS 2103
COURSE CREDIT UNIT: 3
ACADEMIC PROGRAMME: Computer Science, B.Sc
COLLEGE/SCHOOL/FACULTY: School of Mathematics and Computing
STATUS: Core
PROGRAMME TYPE: Undergraduate

Course Description

Course Description

The course in Probability and Statistics helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and networks.

Course Objectives:

The course is intended to:

  • Provide an understanding of some of the basic ideas of reliability theory.

·         Give students experience in the use of a statistical software packages

·         Equip students with basic techniques of probability and descriptive Statistics.

·         Introduce students to the basic discrete and continuous probability models.

·         Provide the students with the necessary background for inferential statistics, mathematical modelling and related subjects

·         Equip students with the knowledge of the application of probability and descriptive statistics to real- world problems

 

Learning Outcomes:

By the end of the course, students should be able to:

  • Demonstrate skills in the applications of probability and statistics in engineering and science
  • Describe several well-known distributions, including Binomial, Geometrical, Negative Binomial, Pascal, Normal and Exponential Distribution.
  • Describe the concepts of various parameter estimation methods, like method of moments, maximum likelihood estimation and confidence intervals.
  • Apply the central limit theorem to sampling distribution.
  • Demonstrate estimation techniques to determine point estimates, confidence intervals, and sample size.
  • Apply the appropriate Chi-squared tests for independence and goodness of fit
  • Perform and analyze hypotheses tests of means, proportions and variances using both one-sampled and two-sampled data sets.
  • Implement the analyses in SAS, S-PLUS, R or MATLAB

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