Civil Engineering
Course Details
KTO KARATAY UNIVERSITY
Faculty of Engineering
Programme of Civil Engineering
Course Details
Faculty of Engineering
Programme of Civil Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| INS122 | Probability and Statistics | 1 | Autumn | 1 | 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 | English |
| Methods and Techniques | - |
| Mode of Delivery | Face to Face |
| Prerequisites | - |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
Importance of statistics in civil 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 | |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Importance of statistics in civil engineering |
| 2 | Set Theory, Counting techniques: multiplication rule, permutation, Repetitive permutation, combinations, repetitive combinations |
| 3 | Frequency analysis and estimating of parameters |
| 4 | Random Experiment, sample space, set algebra of events, probability space, axiom of probability |
| 5 | Conditional Probability, Bayes theorem |
| 6 | Probability distributions |
| 7 | Determination of Continuous Probability Distribution Models |
| 8 | Determination of Discrete Probability Distribution Models |
| 9 | Multi variable distribution, joint probability distributions, marginal distributions, conditional distributions, |
| 10 | Tests of hypotheses |
| 11 | Tests of hypotheses |
| 12 | Regression and correlation analysis |
| 13 | Regression and correlation analysis |
| 14 | General applications |
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 | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | - | - |
| Final Exam | - | - |
| Total | 0 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 0 | 0 | 0 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 0 | 0 | 0 |
| Midterms | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 0 | ||
| Total Work Load / 30 | 0 | ||
| Course ECTS Credits: | 0 | ||