Probability and Statistics
Mechatronics Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Probability and Statistics | MKT214 | Compulsory | Bachelor's degree | 2 | Spring | 4 |
Name of Lecturer(s)
Prof. Dr. Ahmet ERDİL
Prof. Dr. Hasan OCAK
Assistant Prof. Dr. Metin BAYRAK
Assistant Prof. Dr. Öznur KÜÇÜKSARI
Learning Outcomes of the Course Unit
1) The student will be able to perform basic probability calculations
2) The student will be able to apply the probability problems to her/his field
3) The student will be able to perform basic statistical analysis
4) The student will be able to use the statistics in the investigation of cases involving uncertainty
5) The student will be able to collect , analyze and evaluate data, and use the results as needed.
6) The student will be able to classify raw data , comment on and analyze their distributions
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | High | Low | Low | Low | Low | Low | Low | Low | Low | Low | Middle | |
| 2 | High | Low | Low | Low | Low | Low | Low | Low | Low | Low | Middle | |
| 3 | High | Low | Low | Low | Low | Low | Low | Low | Low | Low | Middle | |
| 4 | High | Low | Low | Low | Low | Low | Low | Low | Low | Low | Middle | |
| 5 | High | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 6 | High | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Basic Concepts of Probability, Random Variables and Distribution Functions , Expected Values and Moments, Characteristic Functions, Functions of Random Variables , Some Important Discrete Distributions , Some Important Continuous Distributions, Observed Data and Graphical Representations, Parameter Estimation , Quality Criteria for Estimations, Parameter Estimation, Model Verification , Linear models and Linear Regressions
Weekly Schedule
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Recommended or Required Reading
1- -
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Self Study
7) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required