Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Probability ENM215 3. Semester 3 + 0 3.0 6.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Face to face in the classroom
Course Coordinator Assist. Prof. Dr. Mustafa İsa DOĞAN
Instructors Mustafa İsa DOĞAN
Assistants
Goals Introduction to probability theory; teaching random models and decision making in the presence of uncertainties
Course Content probability distributions, random variable, conditional probability, expected value, central limit theorem
Learning Outcomes - Belirsizlikler taşıyan EM problemlerini analiz etme becerisi
- Belirsizlikler taşıyan EM problemleri için uygun model kurabilme becerisi
- İstatistiksel karar alma için gerekli altyapı
- Veri analizi içerikleri hakkında temel bilgiler
- İstatistiksel modeller için hesaplama yapabilme ve grafik okuyabilme
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction to Probability Verbal Expression Visual Presentation Course Hours
2. Week Probability theory, definition and axioms Visual Presentation Verbal Expression Course Hours
3. Week Conditional probability Practice Verbal Expression Course Hours Visual Presentation
4. Week Independent Events Course Hours Verbal Expression Practice Visual Presentation
5. Week Random Variables Visual Presentation Course Hours Verbal Expression Practice
6. Week Expected value and moment function Verbal Expression Course Hours Visual Presentation Practice
7. Week Some important discrete random variables Course Hours Verbal Expression Visual Presentation Practice
8. Week distributions Course Hours Practice Verbal Expression Visual Presentation
9. Week Probability distributions Verbal Expression Practice Visual Presentation Course Hours
10. Week Conditional expected value Verbal Expression Visual Presentation Course Hours Practice
11. Week Normal distribution and Central Limit Theorem
12. Week Normal distribution and Central Limit Theorem Practice Visual Presentation Course Hours Verbal Expression
13. Week Sampling Distributions Course Hours Practice Verbal Expression Visual Presentation
14. Week estimators and their properties Course Hours Verbal Expression Visual Presentation Practice
Recommended Sources
Akdeniz, F., Probability and Statistics, 13th Edition Walpole, Myers, Myers, and Ye, Probability and Statistics for Engineers and Scientists ", 8th Edition, Pearson.
Material Sharing
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 Measurement Method
PY1 5 0 0 0 0 0 60
PY5 4 0 0 0 0 0 -
PY6 5 0 0 0 0 0 60
PY8 3 0 0 0 0 0 -
PY9 4 0 0 0 0 0 -
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 50 50
Homework 1 1 33 33
Final 1 70 70
Total Workload 153
ECTS Credit of the Course 6.0