GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY AND STATISTICS/BM207
 Course Title: PROBABILITY AND STATISTICS Credits 3 ECTS 4 Course Semester 3 Type of The Course Compulsory
COURSE INFORMATION
-- (CATALOG CONTENT)
-- (TEXTBOOK)
-- (SUPPLEMENTARY TEXTBOOK)
-- (PREREQUISITES AND CO-REQUISITES)
-- LANGUAGE OF INSTRUCTION
Turkish
-- COURSE OBJECTIVES
-- COURSE LEARNING OUTCOMES
To learn basic concepts of probability and statistics
To learn probability distributions and their features
To learn central tendency and dispersion measures
To learn sampling and hypothesis testing
To learn regression analysis

-- MODE OF DELIVERY
The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE 1. Week Sample space, sample points, events,the basic principle of counting , permutation, combination 2. Week definition of probability, axioms of probaility, some simple propositions 3. Week conditional probability,independent events, Bayes' Formula 4. Week Random variable, distribution of discrete random variable,distribution of continuous random variable 5. Week Distribution functions, expected value and variance of a random variable, moments 6. Week Some discrete probability distributions 7. Week Some continuous probability distributions 8. Week Statistics, data, variable, frequency distributions,graphics 9. Week Central Tendency ad Dispersion measures 10. Week Central Tendency ad Dispersion measures 11. Week Sampling and sampling distributions 12. Week Estimation and Hypothesis testing 13. Week Estimation and Hypothesis testing 14. Week Regression and correlation 15. Week 16. Week
-- TEACHING and LEARNING METHODS
-- ASSESSMENT CRITERIA
 Quantity Total Weighting (%) Midterm Exams 1 30 Assignment 5 30 Application 0 0 Projects 0 0 Practice 0 0 Quiz 0 0 Percent of In-term Studies 60 Percentage of Final Exam to Total Score 40