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 |
|---|---|---|---|---|---|---|---|
| 05371175 | Computer Applications in Water Engineering | 4 | Autumn | 7 | 2+1+0 | 3 | 8 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Lecture, project |
| 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 | A-Z31 | [email protected] | 7696 |
Course Content
Basic Probability Concepts. Introduction to Statistics. Estimation of Parameters. Frequency Analysis. Confidence Interval. Hypothesis Tests. Distribution Functions and Tests. Variance Analysis. Correlation and Regression. Time Series. ARMA Models.
Objectives of the Course
To provide the ability to use the knowledge of probability and statistics necessary to apply modeling and decision making techniques in engineering.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| 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 |
|---|---|---|
| P3 | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Analyses water structures under realistic constraints. | P.3.48 | 1,7 |
| ** 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 | Basic probability concepts |
| 2 | Basic probability concepts |
| 3 | Fundamentals of statistics |
| 4 | Estimation of parameters |
| 5 | Frequency analysis |
| 6 | Confidence interval |
| 7 | Hypothesis tests |
| 8 | Distribution functions and tests |
| 9 | Distribution functions and tests |
| 10 | Analysis of variance |
| 11 | Correlation and regression |
| 12 | Correlation and regression |
| 13 | Time series |
| 14 | ARMA models |
Textbook or Material
| Resources | Box, G.E.P., Jenkins, G.C.R., Time Series Analysis: Forecasting and Control, Wiley Series,2008 |
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 | 8 | 112 |
| Midterms | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 14 | 3 | 42 |
| 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: | 246 | ||
| Total Work Load / 30 | 8,20 | ||
| Course ECTS Credits: | 8 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P3 |
|---|---|---|
| O1 | Analyses water structures under realistic constraints. | 5 |