Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty Of Computer And Information Technologies
  • Artificial Intelligence And Machine Learning Pr. (English)
  • Course Structure Diagram with Credits
  • Probability
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load
  • Solve probability problems in complex sample spaces using combinatorial analysis and counting techniques.
  • Solve conditional probability problems by applying Bayes’ Theorem and adapt it to classification problems in artificial intelligence.
  • Determine the probability distribution (discrete/continuous) of a random variable and mathematically calculate its expected value and variance.
  • Can explain the linear relationship between multiple random variables using the concepts of covariance and correlation, and interpret the correlation matrix.
  • Can estimate the asymptotic behavior of the sums or means of independent random variables using the Central Limit Theorem.
  • Can convert simple systems into state-transition diagrams using Markov Chains and analyze steady-state probabilities.
  • Info on the Institution
  • Name and Adress
  • Academic Calendar
  • Academic Authorities
  • General Description
  • List of Programmes Offered
  • General Admission Requirements
  • Recognition of Prior Learning
  • Registration Procedures
  • ECTS Credit Allocation
  • Academic Guidance
  • Info on Degree Programmes
  • PhD / Proficiency in Art
  • Master's Degree
  • Bachelor's Degree
  • Associate Degree
  • Info for Students
  • Cost of living
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  • Medical Facilities
  • Facilities for Special Needs Students ı
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  • Info for Students
  • Learning Facilities
  • International Programmes r
  • Practical Information for Mobile Students
  • Language courses
  • Internships
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