ECTS - Computer Aided Analysis and Design in Structural Engineering

Atılım University - ECTS INFORMATION GUIDE

Computer Aided Analysis and Design in Structural Engineering (CE447) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Aided Analysis and Design in Structural Engineering CE447 3 0 0 3 6
Pre-requisite Course(s)
CE 321 Structural Analysis CE 342 Reinforced Concrete Fundamentals
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Question and Answer, Drill and Practice, Problem Solving.
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, introduction to Excel and Visual Basic programming, programming in excel, design of reinforced concrete beams, design of reinforced concrete columns, deflection of reinforced concrete beams, design of steel beams, design of steel columns, introduction to SAP2000, use of Excel and SAP2000 simultaneously.

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 Analysis 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 50
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 9 100
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 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. X
2 Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. X
4 Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. X
7 Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

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 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 7 5 35
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 150