ANTALYA BİLİM UNIVERSITY
Course Information Package

CE 3008 - Steel Structures

Basic Information

Course Code:
CE 3008
Course Name:
Steel Structures
Language of Instruction:
English
Course Type:
Class
Course Level:
Bachelor
ECTS:
5.00
Instructor:
Dr. Öğr. Üyesi KAZIM BURÇ CİVELEK

Course Objectives

1. To teach the design principles of steel structural systems and the dimensioning of steel structural elements and connections. 2. To enable the development of three-dimensional thinking skills during the design and dimensioning phases.

Course Content

History of steel structures / Steel structural systems / Steel as a material / Design principles of steel structures / Safety, loads and load combinations / Connections and connection members / Riveted and bolted connections / Welded connections / Tension members / Splice Plates / Compression Members / One-piece compression Members / Bending Members

Prerequisites / Corequisites

There are no prerequisites.

Course Books / Materials / Recommended Resources

Odabaşı, Y. “Ahşap ve Çelik Yapı Elemanları”, Beta Basım Yayaım, 2001.  Deren, H., Uzgider, E., Piroğlu, F., Çağlayan, Ö., “Çelik Yapılar”, Çağlayan Kitabevi, 2007. Keyder, E., Wasti, S. T., “Çelik Yapı Elemanları Analiz ve Tasarımı”, Seçkin Yayınevi, 2013. Salmon, C.G., Johnson, J. E., Malhas, F. A., “Steel Structures Design and Behavior”, Fifth Edition, Prentice Hall, USA, 2009.

Learning Outcomes

Code Description
LO1 They can identify steel materials and connection members.
LO2 They can define loads in steel structures.
LO4 They can size steel structural elements.
LO5 They can design steel connections using steel connection members.

Weekly Course Content

Week Content
1 Introduction to Steel Structures
2 Concepts in Structural Design
3 Riveted Joints
4 Bolted Connections
5 Welded Joints
6 Tension Members
7 Review of Topics and Practice Questions Before the Midterm Exam
8 Mid-Term Exam
9 Splice Plates in Tension Members
10 Tension Members and Splice Plates Practice Questions
11 Compression Members
12 One-Piece Compression Members
13 Compression Members Practice Questions
14 Bending Members
15 Review of Topics and Practice Questions Before the Final Exam

Workload Calculation

Activity Count Duration (Hours) Total
Attendance 15 3.00 45.00
Practice 8 3.00 24.00
Pre-Class Individual Study 15 1.50 22.50
Post-Prectice Individual Study 15 1.50 22.50
Midterm Exam/Preparation 1 14.00 14.00
Final Exam/Preparation 1 18.00 18.00
Homework 5 1.00 5.00
Seminar 1 2.00 2.00
Total Workload (Hours) 153
ECTS Credit (Workload / 25) 5

Assessment

# Assessment Type Contribution (%)
1 Midterm Exam %40
2 Final Exam %60
TOTAL %100

PO - LO Matrix

PO \ LO
LO1
LO2
LO4
LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
1
Low Contribution
2
Medium Contribution
3
High Contribution

Teaching and Learning Methods

# Method Name Description Tools
1 Lecture (expository teaching), interactive discussion Listening and taking notes. Standard classroom technologies, multimedia tools (projector, computer, digital presentations)
2 Controversial Course Listening and comprehension, critical thinking Standard classroom technologies, multimedia tools, projector, computer, overhead projector
3 Brainstorming The purpose of forming pairs is to ensure that they are open to innovation during the idea generation phase Standard classroom technologies, multimedia tools, projector, computer, overhead projector
4 Problem Solving * Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.

Academic Integrity and Artificial Intelligence

This course lays the foundation for the analytical thinking skills and professional ethical awareness required of future civil engineers. It is fundamental that all homework, projects, and examinations submitted within the scope of this course must be the product of the student's own effort and original thought.The rules regarding the use of recently developing Artificial Intelligence (AI) tools (large language models, computational tools, etc.) in academic processes are specified below:Supportive Use: Artificial intelligence tools may be used as a "personal tutor/assistant" to comprehend course topics, clarify complex concepts, create study plans, or brainstorm ideas.Responsibility for Verification: In fields like structural analysis, which are based on strict mathematical and physical laws, AI models may produce erroneous results (hallucinations), incorrect moment diagrams, or faulty equilibrium equations. The responsibility for verifying the accuracy of any information generated by these tools rests entirely with the student.Prohibited Use (Academic Plagiarism): Having homework, projects, or exam-quality assessments completed directly by AI, or copying and pasting AI-generated content without any personal contribution, is considered a breach of academic integrity (plagiarism).Mandatory Citation and Transparency: If any AI tool was utilized during the preparation of projects or assignments (e.g., for checking formulas, writing code, or editing text), this must be explicitly declared in the "Acknowledgments" or "Methodology" section of the work, stating which tools were used and for what purpose.Important Note: Submissions that do not comply with academic integrity principles, are detected to be generated by AI, and do not contain the student's own original contribution will not be evaluated, and the provisions of the university's disciplinary regulations will be applied.

Sustainable Development Goals

SDG 4
SDG 8
SDG 9
SDG 11
SDG 12