• Course Code :
  ST103
• Level :
  Undergraduate
• Course Hours :
  3.00 Hours
• Department :
  Faculty of Computers and Information Technology

Instructor information :

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 self-learning and research in probability and statistics field.

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.

NAQAAABET

Course outcomes:

a. Knowledge and Understanding:
	1- Define the fundamental concepts and theories related to probability and statistics 2- Discuss methodologies and practices of different probability distributions used in continuous and discrete systems modeling 3- Explain analytical requirements in developing real applications
b. Intellectual Skills:
	1- Analyze and design analytical solutions for certain probabilistic problems considering limitations and constrains 2- Determine measurement criteria to identify appropriate probability distributions for continuous and discrete systems 3- Prepare probabilistic models and use hypothesis testing
c. Professional and Practical Skills:
	1- Use different probability theorems such as Bayes’ theorem in real-life situations 2- Install and maintain supporting tools for data analysis 3- Realize probability distributions to model the behavior of variables for a wide variety of problems 4- Acquire a set of fundamental research skills to discover a set of fundamental research skills from different resources of probability and statistics
d. General and Transferable Skills:
	1- Exploit a range of learning resources of probability and statistics 2- Work in a team effectively and efficiently considering time and stress management 3- Apply quantitative methods in understanding different case studies

For further information :

• Telephone: 16383 (16FUE)
• E-mail: [email protected]