Subject · Computer science

Probability theory and mathematical statisticsCLO↔PLO matrix

İF-40118y4 creditsSpring semesterMandatory2025-2026

CLO ↔ PLO matching table

How this subject's course outcomes map onto the programme's learning outcomes.

5 CLO × 6 PLO
Course outcomePLO 1PLO 2PLO 3PLO 4PLO 5PLO 6
CLO 1CLO-58700He should know events and actions on them, different definitions of probability and its calculation rules.matchesdoes not matchdoes not matchdoes not matchdoes not matchdoes not match
CLO 2CLO-84210Must know the application of full probability and bayes formulas, bernoulli's scheme for successive repeated trials, applications of moivre-laplace and poisson's theorems.matchesdoes not matchdoes not matchdoes not matchmatchesdoes not match
CLO 3CLO-83889Must have knowledge about distribution laws of discrete and random quantities and their numerical characteristics.matchesdoes not matchdoes not matchdoes not matchmatchesdoes not match
CLO 4CLO-94542Knowledge of the law of large numbers and the basic nature of central limit theorems should be acquired.matchesdoes not matchdoes not matchdoes not matchdoes not matchdoes not match
CLO 5CLO-94356He should know the statistical estimation of parameters and the establishment of confidence intervals, methods of testing statistical hypotheses.matchesdoes not matchdoes not matchdoes not matchmatchesdoes not match

Programme learning outcomes

  1. PLO 1

    Ability to apply fundamental theoretical foundations of computer science, mathematical methods and calculation principles in professional activity.

    Supported by: CLO 1, CLO 2, CLO 3, CLO 4, CLO 5

  2. PLO 2

    Skills in software analysis, design, development, testing, implementation and maintenance.

    No contribution from this subject

  3. PLO 3

    Skills in designing and managing databases, developing information systems, and applying artificial intelligence technologies.

    No contribution from this subject

  4. PLO 4

    Skills in the design, construction, management and secure operation of computer networks, information security and distributed systems.

    No contribution from this subject

  5. PLO 5

    Algorithmic thinking, analysis of computational problems, development of efficient algorithms and skills in using modern programming languages.

    Supported by: CLO 2, CLO 3, CLO 5

  6. PLO 6

    Adherence to principles of professional ethics, effective oral and written communication, teamwork, research and continuous professional development skills.

    No contribution from this subject