ME210-6 Strength of Materials


ME210-6 Strength of Materials

Syllabus   |  International University of Sarajevo  -  Last Update on Sep 09, 2026

Referencing Curricula

HOSTED BY

Mechanical Engineering

Academic Year
2026 - 2027
Semester
Fall
Course Code
ME210-6
Weekly Hours
3 Teaching + 2 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Benjamin Duraković

Course Lecturer

Position
Associate Professor Dr.
Phone
033 957 226
Assistant(s)
Muhamed Bisić
Assistant E-mail

Course Objectives

A thorough understanding of structural members and their strength, stiffness, and stability. Develop an understanding of, and the capability to, solve practical engineering problems involving stress and strain analysis in elementary structural members, such as bars and beams. A thorough understanding of concepts related to strength, stiffness, and stability of structures needed for engineering analysis and design. Develop the capability to design new structural members based on strength and stiffness requirements. Develop the capability to check and verify the safety of existing or designed structures.

Learning Outcomes

After successful completion of the course, the student will be able to:

1
Analyze relationships between stress, strain and displacement in deformable bodies.
2
Find the stress state of bodies subjected to axial, torsional, transverse, and/or bending loads
3
Transform plane stresses into a different coordinate system.
4
Calculate the stability limits of members subjected to axial compressive loads.
5
Design members and simulate with solidworks

Course Materials

Required Textbook

Mechanics Of Materials, R. C. Hibbeler, Prentice Hall, ISBN 13: 978-0-13-602230-5

Additional Literature
A1. Strength of Materials, R.K. Bansal

Teaching Methods

Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Experiments designing 3D printed structural members and testing them in the laboratory
Team assignments
Team projects that involve real data, summary, interpretation and reporting

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction to Strenght of Materials; Equilibrium of a Deformable Body; Body Forces & Support Reactions Ch 1
2 Stress, Average Normal Stress in an Axially Loaded Bar; Average Shear Stress; Allowable Stress Ch 1
3 📍 Strain; Deformation Ch 2
4 Mechanical properties of Materials; The Tension and Compression Test; The Stress–Strain Behavior of Ductile and Brittle Materials Ch 3
5 Quiz No. 1; Hooke’s Law; Strain Energy; Poisson's Ratio; The Shear Stress-Strain Diagram Ch 3
6 Axial Load; Saint-Venant’s Principle; Elastic Deformation of an Axially Loaded Member; Principle of Superposition Ch 4
7 Statically Indeterminate Axially Loaded Member; Force Method; Thermal Stress; Stress Concentrations Ch 4
8 Mid-term Exam
9 Bending; Shear and Moment Diagrams; Graphical Methods; Bending Deformation of a Straigth Member Ch6
10 The Flexure Formula; Composite Beams; Stress Concentrations Ch6
11 Transverse Shear Ch 7
12 Quiz No. 2; Design of Beams and Shafts Ch 11
13 Deflection and Stiffness of Beams and Shafts; The Elastic Curve; Slope and Displacement by Integration Ch 12
14 Method of Superposition; Statistically Indeterminate Beams and Shafts Ch 12
15 Review

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ME210-6.1 Course Monday 15:00 - 17:50 A F1.17 - -
ME210-6.1 Tutorial Wednesday 12:00 - 13:50 A F1.26 - -

Office Hours & Room

DayTimeOfficeNotes
Tuesday 10:00 - 12:00 Research Center
Friday 10:00 - 12:00 Research Center

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

30%x1
Midterm Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

10%x2
Quiz (2 X 5 = 10)
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

20%x1
Assignments
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

IUS Grading System

Grading Scale IUS Grading System IUS Coeff. Letter (B&H) Numerical (B&H)
0 - 44 F 0 F 5
45 - 54 E 1
55 - 64 C 2 E 6
65 - 69 C+ 2.3 D 7
70 -74 B- 2.7
75 - 79 B 3 C 8
80 - 84 B+ 3.3
85 - 94 A- 3.7 B 9
95 - 100 A 4 A 10

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture Hours

45 hours ⏳ (15 week × 3 h)

Student work

15 hours ⏳ (15 week × 1 h)

Home study

70 hours ⏳ (14 week × 5 h)

Midterm preparation

12 hours ⏳ (1 week × 12 h)

Assignment

8 hours ⏳ (4 week × 2 h)

150 Total Workload Hours

6 ECTS Credits


Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [ME210-6] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Syllabus Last Updated on Sep 09, 2026 | International University of Sarajevo

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