Statistics
Course features
Compulsory Course
Credits: 5
CS Department
Lecture Hours : 4
Lab Hours : 0
Autumn Semester
Teacher
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.