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Course Title[Course Code]:Data Structures[DBA 270]

Faculty: Computers and Artificial Intelligence
Department: Artificial Intelligence
Program: Computers System
Compulsory / Elective:Compulsory
Undergraduate(Second Year-First Semester)
Hours:
Lecture:( 3 ) Practical / Clinical:( 2 ) Tutorial:( - )

Course Description:
The course aims at introducing the Sample space, probability axioms, combinatorial techniques, conditional probability, independence and Bayes’ theorem. Random variables; distribution functions, moments and generating function. Some probability distributions. Joint distribution, the Chebychev inequality and the law of large numbers. The central limit theorem and sampling distributions.