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 Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Halit Cenan MERTOL
Course Assistants
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;
  • Students will be able to use Excel as a programming tool.
  • Students will be able to develop algorithms used in designing structural elements.
  • Students will be able to use Visual Basic to execute and control various programs in different platforms.
  • Students will be able to develop honesty when they apply computer-aided analysis and design.
  • Students will be able to develop patience and perseverance in students as they learn how to use the structural engineering software.
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