ECTS - Computer Aided Analysis and Design in Structural Engineering
Computer Aided Analysis and Design in Structural Engineering (CE567) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
---|---|---|---|---|---|---|---|
Computer Aided Analysis and Design in Structural Engineering | CE567 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
---|
N/A |
Course Language | English |
---|---|
Course Type | Elective Courses |
Course Level | Ph.D. |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture, Drill and Practice, Problem Solving, Project Design/Management. |
Course Lecturer(s) |
|
Course Objectives | To understand concepts in structural analysis and design with the aid of a computer. To familiarize students on the state-of-the-art software and use the software in structural engineering applications. |
Course Learning Outcomes |
The students who succeeded in this course;
|
Course Content | Introduction to Excel and Visual Basic, Excel and Visual Basic programming, fundamentals of Excel, database and pivot tables, design of reinforced concrete beams, design of reinforced concrete columns, userforms, analysis of reinforced concrete beams, design of steel beams and columns, introduction to SAP2000, simultaneous use of Excel with other p |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
---|---|---|
1 | Introduction to Excel | |
2 | Excel Basics | |
3 | Databases and Pivot Tables | |
4 | Programming in Excel | |
5 | Programming in Excel | |
6 | Userforms | |
7 | Analysis of Structures | |
8 | Analysis of Reinforced Concrete Beams | |
9 | Design of Reinforced Concrete Beams | |
10 | Design of Reinforced Concrete Columns | |
11 | Design of Reinforced Concrete Columns | |
12 | Use of Excel with Other Programs | |
13 | Use of Excel with Other Programs | |
14 | Use of Excel with Other Programs | |
15 | Final Exam Period | |
16 | Final Exam Period |
Sources
Other Sources | 1. Introduction to VBA for Excel, Steven C. Chapra, Prentice Hall, 2010. |
---|---|
2. Excel 2010 Power Programming with VBA, John Walkenbach, Wiley Publishing, 2010. | |
3. Excel for Scientists and Engineers, E. Joseph Billo, 2007. |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | 7 | 40 |
Presentation | - | - |
Project | 1 | 10 |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | 1 | 20 |
Final Exam/Final Jury | 1 | 30 |
Toplam | 10 | 100 |
Percentage of Semester Work | 70 |
---|---|
Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
---|---|
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. | X | ||||
3 | An ability to use the technology and the literature effectively in the civil engineering research domain. | X | ||||
4 | An ability to conduct qualitative research in civil engineering and publish articles in conferences and journals in the area. | X | ||||
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. | X |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 14 | 2 | 28 |
Presentation/Seminar Prepration | |||
Project | 1 | 10 | 10 |
Report | |||
Homework Assignments | 7 | 3 | 21 |
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 8 | 8 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 125 |