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Probability & Statistics

Computer Science and AI

Course Materials & Resources

Midterm and Final PDFs

  • 2022 Midterm Exam SolutionsWatch
  • 2023 Midterm Exam SolutionsWatch
  • 2022 Final Exam SolutionsWatch
  • 2023 Final Exam SolutionsWatch
  • 2023 Make-up Exam SolutionsWatch

Lecture Videos

  • Introduction to Statistics & PopulationWatch
  • Probability BasicsWatch
  • Conditional ProbabilityWatch
  • Conditional Probability 2Watch
  • Bayes TheoremWatch
  • Discrete Random VariableWatch
  • Continuous Random VariableWatch
  • Data AnalysisWatch
  • StatisticsWatch

Lecture Notes

About This Course

This course provides a structured foundation in probability and statistics, enabling students to analyze data, measure uncertainty, and make informed decisions. The journey begins with core statistical concepts, then introduces fundamental probability principles like combinations, permutations, and Bayes' Theorem. The course progresses to discrete and continuous random variables and their distributions (Bernoulli, Binomial, Poisson, Normal), and finally explores key concepts like hypothesis testing and estimation.

Instructor: Eng. Abdulrahman Hamdi

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Probability & Statistics | Abdulrahman Hamdi