Civil Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Civil Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Civil Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05310002 | 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) | Asst. Prof. Vahdettin DEMİR |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. Vahdettin DEMİR | - | [email protected] |
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 | X |
| Specialization / Field Courses | |
| 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 | Adequate knowledge in mathematics, science and related engineering discipline accumulation; theoretical and practical knowledge in these areas, complex engineering the ability to use in problems | 5 |
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 5 |
| P5 | An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | To gain an ability to apply knowledge of mathematics, science, and engineering | P.1.14 | 1 |
| O2 | To gain expertise in analysing hydrological data | P.1.15 | 1 |
| O3 | To gain ability to analysis statistically, interpret, inference and anticipate. | P.1.16 | 1 |
| O4 | To gain expertise to design a system skill | P.1.17 | 1 |
| O5 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | P.1.18 | 1 |
| O6 | To gain an ability to apply knowledge of mathematics, science, and engineering | P.2.1 | 1 |
| O7 | To gain expertise in analysing hydrological data | P.2.2 | 1 |
| O8 | To gain ability to analysis statistically, interpret, inference and anticipate. | P.2.3 | 1 |
| O9 | To gain expertise to design a system skill | P.2.4 | 1 |
| O10 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | P.2.5 | 1 |
| O11 | To gain an ability to apply knowledge of mathematics, science, and engineering | P.5.1 | 1 |
| O12 | To gain expertise in analysing hydrological data | P.5.2 | 1 |
| O13 | To gain ability to analysis statistically, interpret, inference and anticipate. | P.5.3 | 1 |
| O14 | To gain expertise to design a system skill | P.5.4 | 1 |
| O15 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | P.5.5 | 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 | 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 | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| 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 | 3 | 42 |
| Midterms | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Homework | 3 | 3 | 9 |
| 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 | 30 | 30 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 143 | ||
| Total Work Load / 30 | 4,77 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P5 |
|---|---|---|---|---|
| O1 | To gain an ability to apply knowledge of mathematics, science, and engineering | 5 | - | - |
| O2 | To gain expertise in analysing hydrological data | 5 | - | - |
| O3 | To gain ability to analysis statistically, interpret, inference and anticipate. | 5 | - | - |
| O4 | To gain expertise to design a system skill | 5 | - | - |
| O5 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | 5 | - | - |
| O6 | To gain an ability to apply knowledge of mathematics, science, and engineering | - | 5 | - |
| O7 | To gain expertise in analysing hydrological data | - | 5 | - |
| O8 | To gain ability to analysis statistically, interpret, inference and anticipate. | - | 5 | - |
| O9 | To gain expertise to design a system skill | - | 5 | - |
| O10 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | - | 5 | - |
| O11 | To gain an ability to apply knowledge of mathematics, science, and engineering | - | - | 5 |
| O12 | To gain expertise in analysing hydrological data | - | - | 5 |
| O13 | To gain ability to analysis statistically, interpret, inference and anticipate. | - | - | 5 |
| O14 | To gain expertise to design a system skill | - | - | 5 |
| O15 | To gain expertise able to generate and collect data for designing highway, railway, naval and airport facilities | - | - | 5 |