ECTS - Departmental Elective
Departmental Elective (FBE-CE-DR-AE1FA2) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Departmental Elective | FBE-CE-DR-AE1FA2 | 1. Semester | 0 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Compulsory Departmental Courses |
Course Level | Ph.D. |
Mode of Delivery | |
Learning and Teaching Strategies | . |
Course Lecturer(s) |
|
Course Objectives | |
Course Learning Outcomes |
The students who succeeded in this course; |
Course Content |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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Sources
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | - | - |
Final Exam/Final Jury | - | - |
Toplam | 0 | 0 |
Percentage of Semester Work | |
---|---|
Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | An ability to solve mathematically defined advanced engineering problems analytically. | |||||
2 | An ability to solve mathematically defined advanced engineering problems numerically. | |||||
3 | An ability to use the technology and the literature effectively in the civil engineering research domain. | |||||
4 | An ability to conduct qualitative research in civil engineering and publish articles in conferences and journals in the area. | |||||
5 | Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process. | |||||
6 | To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | |||
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | |||
Presentation/Seminar Prepration | |||
Project | |||
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | |||
Prepration of Final Exams/Final Jury | |||
Total Workload | 0 |