Duration Time 13 weeks
Certificate yes
Lessons 0
Course features
Compulsory Course
Credits: 5
CS Department
Lecture Hours : 4
Lab Hours : 0
Autumn Semester
Associate Professor
Course Content

After this course, the student is expected to be able to:

  • distinguish stochastic and deterministic phenomena and experiments
  • using enumeration methods and basic probability tools
  • apply simple probability calculus
  • recognize the practical value and importance of probabilities in the understanding of stochastic phenomena and experiments
  • describe and summarize data
  •  translate a research question into a statistical hypothesis  when given a data group and the type of experimental design or sampling procedure
  • apply estimation and testing methods  in order to make data-based decisions
  • identify the selected method’s assumptions  and keep in mind that it is required to apply checks for them
  • comprehend and interpret correctly the statistical significance
  • interpret results correctly, effectively, and in context without relying on statistical jargon
  • comprehend the notion of uncertainty which is always contained in statistical inference
  • critique data-based claims and evaluate data-based decisions
  • complete a research project that employs simple statistical inference comply to ethical issues.

Course Layout (EN)

Course Layout (EL)