ME211 Strength of Materials II


ME211 Strength of Materials II

Syllabus   |  International University of Sarajevo  -  Last Update on Mar 03, 2026

Referencing Curricula

HOSTED BY

Mechanical Engineering

Academic Year
2025 - 2026
Semester
Spring
Course Code
ME211
Weekly Hours
3 Teaching + 2 Practice
ECTS
3
Prerequisites
Teaching Mode Delivery
Face-to-face
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

Muhamed Hadžiabdić

Course Lecturer

Position
Full Professor Dr.
Phone
033 957
Assistant(s)
Muhamed Bisic
Assistant E-mail

Course Objectives

Course Objectives Develop a thorough understanding of torsional behavior of shafts and thin-walled members, stress and strain transformation, stability of columns, and energy methods in structural analysis. Develop the capability to independently analyze and design structural members subjected to torsion, combined loading, and axial compression. Develop competence in applying failure theories and stability criteria for safe and efficient engineering design. Develop the ability to use energy principles and virtual work methods for calculating deflections and internal forces in statically indeterminate structures. Strengthen analytical skills required for verification, safety assessment, and design of structural elements under complex loading conditions.

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 Torsion.
3
Find the stress state of bodies subjectedto Buckling of columns.
4
Analyze States of stress and strain, criteria for failure, combined loading and Fatigue.

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
Power point & Slide presentations
Student Presentation and Assignment Discussions
Industrial visits
Laboratory activities and demonstrations
Tutorials

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction to Strength of Materials II, Torsion, Torsional deformation of a circular shaft Ch5
2 The torsion formula, Power transmission, angle of twist, Statically indeterminate torque-loaded members, Solid noncircular shafts Ch5
3 Thin-walled tubes having closed cross section, Stress concentration, Inelastic torsion, Residual stress, Combined loadings; Thin-walled pressure vessels, State of stress caused by combined loadings Ch.5, Ch.8
4 Stress transformation; Plane-stress transformation, General equations of plane – stress transformation, Principal stresses and maximum in-plane shear stress Ch.9
5 Quiz no 1, Mohr’s circle – plane stress Ch.9
6 Strain Transformation; Plane strain, General equation of plane-strain transformation, Mohr’s circle – plain strain Ch10
7 Absolute maximum shear strain, Strain rosettes, Material-property relationships, Theories of failure Ch10
8 Mid-term Exam Ch12
9 Buckling of columns; Critical load, Ideal column with pin supports, Columns having various types of supports Ch.13
10 The secant formula, Inelastic Buckling, Design of Columns for Concentric Loading, Design of columns for Eccentric Loading Ch13
11 Energy Methods; External work and strain energy, Elastic strain energy for various types of loading Ch.14
12 Quiz
13 Conservation of energy, Impact loading, Principle of Virtual work Ch.14
14 Method of virtual forces applied to trusses, method of virtual forces applied to beams, Castigliano’s theorem Ch14
15 Castigliano’s theorem applied to trusses, Castigliano’s theorem applied to beams Ch14

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
ME211.1 Course Tuesday 14:00 - 16:50 A F1.10 - -
ME211.1 Tutorial Thursday 18:00 - 19:50 A F1.26 - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1

30%x1
Midterm
AI: Not Allowed

Alignment with Learning Outcomes :  1

20%x1
Assignments (tutorials)
AI: Not Allowed

Alignment with Learning Outcomes :  1

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

Alignment with Learning Outcomes :  1

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 3 ECTS credit course corresponds to 75 hours of total student workload, distributed as follows:

Lecture hours

45 hours ⏳ (15 week × 3 h)

Student work

10 hours ⏳ (10 week × 1 h)

Home study

10 hours ⏳ (10 week × 1 h)

Midterm preparation

6 hours ⏳ (1 week × 6 h)

Assignment

4 hours ⏳ (2 week × 2 h)

75 Total Workload Hours

3 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 [ME211] 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 Mar 03, 2026 | International University of Sarajevo

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