IE425 Computer Aided Design and Manufacturing


IE425 Computer Aided Design and Manufacturing

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

Referencing Curricula

HOSTED BY

Industrial Engineering

Academic Year
2025 - 2026
Semester
Spring
Course Code
IE425
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 -
Assistant(s)
Muhamed Bisic
Assistant E-mail

Course Objectives

Developed a general understanding of fundamental CAD/CAM concepts; Learned how to use commercial CAD/CAM software for engineering design; and Learned how CAD/CAM can be used in the different stages of design and manufacture of a product.

Learning Outcomes

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

1
Take active role in product design and development process as well as protptyping
2
Model 3D part and assemblies using SolidWorks program
3
Analyze the part design using one of the computational methods (e.g. stress analysis)
4
Understand the concepts of computer-aided manufacturing and a number of applied associated processes

Course Materials

Required Textbook

(1) S. Kalpakjian, S. R. Schmid, “Manufacturing Engineering and Technology”, 6th edition, Pearson, London 2010. (2) Kuang-Hua Chang_Product Manufacturing and Cost Estimating Using CAD-CAE. The Computer Aided Engineering Design Series. (3)HAAS Automation, Inc. Mill Series Programming Workbook (4) Introducing Solidworks, Dassault Systems

Additional Literature
(1) Kuang-Hua Chang_Product Manufacturing and Cost Estimating Using CAD-CAE. The Computer Aided Engineering Design Series. (2) Introducing Solidworks, Dassault Systems (2) ISO 286 standard

Teaching Methods

Final exam is given at the end
In order to attract the attention of the students into the offered courses during the semester, some exams ( midterms) are given and also some assignments are asked
The internal exams will encourage the students to study harder during the semester time
Learning delivery: 1
Lecture Discussion and review questions
2
Power point presentations
3
Short Reports and homework assignments

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Course introduction, introduction to CAD/CAM/CAE Syllabus
2 Computer graphics, and Geometric dimensioning and tolerancing Ch1: Chang; ISO 286 standard
3 Rapid Prototyping: Additive and Subtractive Processes Ch 20: Kalpajian & Ch4: Chang
4 Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch21, 23, 24, 26: Kalpajian
5 Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch21, 23, 24, 26: Kalpajian
6 Machining Centers, Cutting-Tool Materials and Cutting Fluids ch22 and Ch25: Kalpajian
7 Inro to G coding Ch2: Chang & HASS
8 MidTerm
9 Simulation: Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch2, Ch3, Ch4: Chang & HASS
10 Machining Simulation: Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch2, Ch3, Ch4: Chang & HASS
11 Machining Simulation: Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch2, Ch3, Ch4: Chang & HASS
12 Machining Simulation: Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch2, Ch3, Ch4: Chang & HASS
13 Project Review
14 Machining Simulation: Machining Processes: Turning, Milling, Broaching, Sawing, Grinding Ch2, Ch3, Ch4: Chang & HASS
15 Final Project Report Submission / Presentation

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
IE425.1 Course Tuesday 09:00 - 11:50 A F1.18 - Computer Lab - -
IE425.1 Tutorial Thursday 18:00 - 19:50 A F1.3 - Computer Lab - -

Office Hours & Room

DayTimeOfficeNotes
Tuesday 15:00 - 17:00 A F1.15
Wednesday 16:00 - 17:00 A F1.15
Friday 15:00 - 17:00 A F1.15

Assessment Methods and Criteria

Assessment Components

50%x1
Final Project
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

40%x1
Mid-Term
AI: Not Allowed

Alignment with Learning Outcomes :  1  2

10%x5
Homework
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4

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)

Tutorials

22 hours ⏳ (11 week × 2 h)

Homework

6 hours ⏳ (6 week × 1 h)

Midterm Project

32 hours ⏳ (4 week × 8 h)

Final Project

45 hours ⏳ (5 week × 9 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 [IE425] 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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