 Course Code :
ST103
 Level :
Undergraduate
 Course Hours :
3.00
Hours
 Department :
Faculty of Computers & Information Technology
Instructor information :
Area of Study :
Apply the basic concepts, theories, meanings and interpretations of probability and statistics.
Combine and evaluate different probability laws.
Use basic mathematics in probability and statistics.
Analyze the analytical requirements of some applications to design a solution for these requirements.
Compare, evaluate and select methodologies from range of probability distributions to model continuous and discrete systems.
Use effectively communication skills.
Carry out a selflearning and research in probability and statistics field.
For further information :
This course provides an introduction on Statistics. Topics of interest include the statistical analysis on statistical data, statistical measurements. Elementary probability, probability theorems, conditional probability, independent and dependent events, total probability rule and Baye's Theorem. Discrete probability distribution, probability mass function, continuous probability distribution and probability density function. Mathematical expectation: mean and variance. Special discrete distribution: Bernoulli, Binomial. Geometric and Poisson distributions. Special continuous distribution: Uniform, negative exponential and normal distribution.
For further information :
Books:
Book

Author

Publisher

Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences

J. Susan Milton

McGraw Hill

Probability and Statistics for Engineering and the Sciences

Anthony J. Hayter

Cengage Learning

Course notes :
An Electronic form of the Course Notes and all the slides of the Lectures is available on the Students Learning Management System (Moodle)
Recommended books :
R. Walpole, R. Myers, S. Myers, K. Ye, Probability and Statistics for Engineers and Scientists, 9th ed. Prentice Hall, Pearson Education, 2011. ISBN9780321629111.
Web Sites :
• Stat Trek. Teach yourself statistics online. www.statrek.com
• Practice for probability and statistics. www.khanacademy.org
For further information :