Mechanical Engineering
Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering
Programme of Mechanical Engineering
Course Details
Faculty of Engineering
Programme of Mechanical Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| MAK4207 | Olasılık ve İstatistik | 2 | Spring | 4 | 4+0+0 | 5 | 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. Vahdettin DEMİR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Vahdettin DEMİR | AZ-31 | [email protected] | 7696 | Wednesday 12.00-14.00 |
Course Content
Importance of statistics in Machine engineering, Set theory, Counting techniques: multiplication rule, permutation, repetitive permutation, combinations, repetitive combinations, Frequency analysis and estimating of parameters, Probability theory, Bayes theorem, Random experiment, sample space, Set algebra of events, Probability space, Probability distribution functions, Determination of continuous probability distribution models, Determination of discrete probability distribution models, Multi variable distribution, Joint probability distributions, Marginal distributions, conditional distributions, Hypotheses tests, One- and two- sample tests of hypotheses
Objectives of the Course
Teaching the basic concepts of probability&statistics, introducing the basic probability distributions and their applications, teaching statistical data analysis techniques and applications
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Makine mühendisliğinde istatistiğin önemi |
| 2 | Cluster theory, counting techniques: multiplication rule, permutation, repeated permutation, combination |
| 3 | Frekans analizi ve parametrelerin tahmini |
| 4 | Randomness, sample space, set algebra of events, probability space, probability axiom |
| 5 | Koşullu Olasılık, Bayes teoremi |
| 6 | Olasılık dağılımları |
| 7 | Sürekli Olasılık Dağılım Modellerinin Belirlenmesi |
| 8 | Olasılık Dağılım Modellerinin Belirlenmesi |
| 9 | Çok değişkenli dağılım, ortak olasılık dağılımları, extrem dağılımlar |
| 10 | Hipotez testleri |
| 11 | Hipotez testleri |
| 12 | Regresyon ve korelasyon analizi |
| 13 | Regresyon ve korelasyon analizi |
| 14 | Genel uygulamalar |
Textbook or Material
| Resources | Akdeniz F. , 2007, Olasılık ve İstatistik, Nobel Kitabevi. |
| Ross S. , 2010, First Course in Probability, 8th edition, Prentice Hall |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Seminar | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 4 | 56 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 4 | 56 |
| Midterms | 1 | 15 | 15 |
| Quiz | 0 | 0 | 0 |
| Homework | 2 | 2 | 4 |
| 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 | 19 | 19 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||