Electrical and Electronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05140408 | Probability and Statistics | 2 | Spring | 4 | 3+0+0 | 3 | 5 |
| Course Type | Compulsory |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | Asst. Prof. İbrahim ONARAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. İbrahim ONARAN | A-125 | [email protected] | 7678 | Tuesday 15:30-16:30 |
Course Content
Introduction to probability and statistics, Basic probability, Independent events, Some probability models,
Objectives of the Course
To give some basic terms and concepts in Probability and Statistics and to teach the statistical methods in engineering and how and why to use probability theory.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Learns counting methods. | P.1.6 | 1 |
| O2 | Learns general theorems of counting and probability. | P.1.7 | 1 |
| O3 | Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. | P.1.8 | 1 |
| O4 | They learn probability concepts such as expected value, variance, and moment generating functions. | P.1.9 | 1 |
| O5 | They have knowledge about probability distributions and their usage areas. | P.1.10 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to probability and statistics |
| 2 | Basic probability |
| 3 | Independent events |
| 4 | Some probability models |
| 5 | Random variables |
| 6 | Random variables |
| 7 | Distributions. Discrete and continuous distributions |
| 8 | Distributions. Discrete and continuous distributions |
| 9 | Change of independent random variables |
| 10 | Conditional distributions. |
| 11 | Mathematical expectations: mean, variance, moment generating functions. |
| 12 | Characteristic functions. |
| 13 | Conditional expectation |
| 14 | Limited range |
Textbook or Material
| Resources | 1 Jean Jacod and Phillip Protter "Probability Essentials", Springer, 2nd Edition, (2003) |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 45 (%) |
| Final Exam | 1 | 55 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 7 | 98 |
| Midterms | 1 | 2 | 2 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 2 | 2 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 144 | ||
| Total Work Load / 30 | 4,80 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 |
|---|---|---|
| O1 | Learns counting methods. | 5 |
| O2 | Learns general theorems of counting and probability. | 5 |
| O3 | Rasgele sayıları öğrenme ve kullanma becerisi elde eder. Acquires the ability to learn and use random numbers. | 5 |
| O4 | They learn probability concepts such as expected value, variance, and moment generating functions. | 5 |
| O5 | They have knowledge about probability distributions and their usage areas. | 5 |