Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Probability and Statistics | EEM267 | 3. Semester | 3 + 0 | 3.0 | 5.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Undergraduate |
Course Type | |
Mode of delivery | Face-to-face and online |
Course Coordinator |
Assoc. Prof. Dr. Selman KULAÇ Assist. Prof. Dr. OSMAN DİKMEN Res. Assist. Elif Eda TAKGİL |
Instructors |
OSMAN DİKMEN |
Assistants | |
Goals | To enable students to learn probabilistic and statistical concepts that they can use in electrical-electronic system analysis and design, especially communication systems. In addition, relevant current issues are researched and presented in the classroom environment. |
Course Content | 1. Introduction to probability 2. Discrete and continuous random variables 3. Two-dimensional distributions 4. Short introduction 5. Statistical hypothesis testing and linear models 6. Regression and Analysis of Variance |
Learning Outcomes |
- To learn basic probability concepts - To have knowledge about random variables and probability functions - To have knowledge about discrete and continous distributions - To learn basic statistical concepts - To have knowledge about statistical analysis methods |
Week | Topics | Learning Methods |
---|---|---|
1. Week | Introduction to probability, sample space and event, joint event, probability axioms | |
2. Week | Conditional probability, tree diagrams, total probability formula, Bayes' theorem, independence | |
3. Week | Distribution and density functions of continuous and discrete random variables, mean and standard deviation values | |
4. Week | Moment concept, relationship between moments, Chebyshev inequality | |
5. Week | Bivariate (joint) discrete and continuous random variables | |
6. Week | Conditional probability distributions, sample problems | |
7. Week | Concepts of covariance, correlation and correlation coefficient | |
8. Week | Solving questions | |
9. Week | Discrete distributions: bernoulli, binomial, negative binomial, geometric, poisson and hypergeometric | |
10. Week | Continuous distributions: uıniform, exponential, normal distributions | |
11. Week | Sampling, statistical estimation, confidence intervals | |
12. Week | Hypothesis testing, power of test, independence test | |
13. Week | Regression analysis: linear regression, least squares method, multiple regression | |
14. Week | Variance analysis |
1. Prof. Dr. Fikri Akdeniz, Olasılık ve İstatistik, 2016, Akademisyen Kitabevi |
2. Prof. Dr. Aydın ÜSTÜN, Olasılık ve İstatistik, 2014 (Taslak) |
3. Stark, H., Woods J. W., Probabiliy and Random Processes with Applications to Signal Processing, Third edition, Prentice Hall, 2002 |
4. Papoulis A., Pillai S.U., Probability, Random Variables and Stochastic Processes, Fourth edition, McGraw Hill, 2002. |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | Measurement Method |
---|---|---|---|---|---|---|---|
PY1 | 4 | 4 | 4 | 4 | 4 | 4 | 40,60 |
PY2 | 4 | 4 | 4 | 4 | 4 | 4 | 40,60 |
PY3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY4 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY5 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY6 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY7 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY8 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY9 | 0 | 0 | 0 | 0 | 0 | 0 | 40,60 |
PY10 | 0 | 0 | 0 | 0 | 0 | 0 | 40,60 |
PY11 | 0 | 0 | 0 | 0 | 0 | 0 | 40,60 |
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 |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Midterm 1 | 1 | 25 | 25 |
Homework 1 | 1 | 15 | 15 |
Final | 1 | 25 | 25 |
Practice | 1 | 10 | 10 |
Practice End-Of-Term | 1 | 10.5 | 10.5 |
Classroom Activities | 14 | 3 | 42 |
Total Workload | 127.5 | ||
ECTS Credit of the Course | 5.0 |