MBA536 Operations Management

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

Referencing Curricula

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Management

Academic Year

-

Semester

-

Course Code

MBA536

Weekly Hours

3 Teaching + 0 Practice

ECTS

6

Prerequisites

None

Teaching Mode Delivery

Online

Prerequisite For

-

Teaching Mode Delivery Notes

-

Cycle

II Cycle

Prof. Jane Doe

TBA

Course Lecturer

Position

-

Email

Phone

033 957

Assistant(s)

-

Assistant E-mail

Course Objectives

This course provides an in-depth understanding of operations management (OM) or the production and delivery of goods and services. Students will learn to observe and analyze an organization from a system or process-perspective.

Learning Outcomes

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

1

Define core concepts, models, and terminologies related to operations management, including process design, capacity planning, quality management, and lean systems.

2

Explain the strategic role of operations in achieving organizational goals and competitive advantages.

3

Apply quantitative and qualitative techniques to analyze operational problems, including forecasting, capacity planning, inventory control, and scheduling.

4

Utilize decision-support tools and software to model and optimize production and service processes.

5

Analyze complex operational systems to identify bottlenecks, inefficiencies, and improvement opportunities along with trade-offs among cost, quality, flexibility, and delivery performance in different operational settings.

6

Critically assess and evaluate operations strategies in terms of sustainability, risk, innovation, and alignment with overall business strategy.

7

Evaluate the effectiveness of continuous improvement initiatives, such as Six Sigma or Total Quality Management, using real-world case studies and data

8

Propose innovative solutions and strategic recommendations for complex operational challenges using data-driven decision-making and evidence-based research.

Course Materials

Required Textbook

Jacobs, F.R. & R.B. Chase. (2021). Operations and Supply Chain Management. Boston: McGraw-Hill Irwin.

Additional Literature

Teaching Methods

The methods include lectures (which may involve PowerPoint presentations

Videos

And audio aids)

Student presentations

Projects

And class discussions.

Weekly Topics

This weekly planning is subject to change with advance notice.

Week	Topic	Readings / References
1	Registration week - syllabus
2	Introduction to Operations Strategy
3	Lean Production Systems
4	Process Analysis I
5	Process Analysis II
6	Service Operations
7	Midterm Exam
8	Waiting and Queues I
9	Waiting and Queues II
10	Supply Chain Management
11	Inventory Management
12	Forecasting
13	Decision Analysis
14	Quality Management
15	Projects

Course Schedule (All Sections)

Course Schedules with all sections will be available here soon.

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

30%x1

Final Exam

AI: Not Allowed

Alignment with Learning Outcomes :

20%x1

Midterm exam

AI: Not Allowed

Alignment with Learning Outcomes :

20%x2

Project

AI: Not Allowed

Alignment with Learning Outcomes :

20%x4

Assignments

AI: Not Allowed

Alignment with Learning Outcomes :

10%x

Participation

AI: Not Allowed

Alignment with Learning Outcomes :

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	F	5
55 - 64	C	2	E	6
65 - 69	C+	2.3	D	7
70 -74	B-	2.7	D	7
75 - 79	B	3	C	8
80 - 84	B+	3.3	C	8
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)

Home study

15 hours ⏳ (15 week × 1 h)

Case study

15 hours ⏳ (1 week × 15 h)

Project

25 hours ⏳ (5 week × 5 h)

Midterm exam study

25 hours ⏳ (1 week × 25 h)

Final exam study

25 hours ⏳ (1 week × 25 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 [MBA536 ] 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.

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

Referencing Curricula Print this page

Course Code	Course Title					Weekly Hours*		ECTS		Weekly Class Schedule
						T	P
MBA536	Operations Management					3	0	6
Prerequisite	None				It is a prerequisite to	-
Lecturer					Office Hours / Room / Phone	Currently not available
E-mail
Assistant					Assistant E-mail
Course Objectives	This course provides an in-depth understanding of operations management (OM) or the production and delivery of goods and services. Students will learn to observe and analyze an organization from a system or process-perspective.
Textbook	Jacobs, F.R. & R.B. Chase. (2021). Operations and Supply Chain Management. Boston: McGraw-Hill Irwin.
Additional Literature
Learning Outcomes	After successful completion of the course, the student will be able to:
	Define core concepts, models, and terminologies related to operations management, including process design, capacity planning, quality management, and lean systems. Explain the strategic role of operations in achieving organizational goals and competitive advantages. Apply quantitative and qualitative techniques to analyze operational problems, including forecasting, capacity planning, inventory control, and scheduling. Utilize decision-support tools and software to model and optimize production and service processes. Analyze complex operational systems to identify bottlenecks, inefficiencies, and improvement opportunities along with trade-offs among cost, quality, flexibility, and delivery performance in different operational settings. Critically assess and evaluate operations strategies in terms of sustainability, risk, innovation, and alignment with overall business strategy. Evaluate the effectiveness of continuous improvement initiatives, such as Six Sigma or Total Quality Management, using real-world case studies and data Propose innovative solutions and strategic recommendations for complex operational challenges using data-driven decision-making and evidence-based research.
Teaching Methods	The methods include lectures (which may involve PowerPoint presentations, videos, and audio aids), student presentations, projects, and class discussions.
Teaching Method Delivery	Online			Teaching Method Delivery Notes
WEEK	TOPIC								REFERENCE
Week 1	Registration week - syllabus
Week 2	Introduction to Operations Strategy
Week 3	Lean Production Systems
Week 4	Process Analysis I
Week 5	Process Analysis II
Week 6	Service Operations
Week 7	Midterm Exam
Week 8	Waiting and Queues I
Week 9	Waiting and Queues II
Week 10	Supply Chain Management
Week 11	Inventory Management
Week 12	Forecasting
Week 13	Decision Analysis
Week 14	Quality Management
Week 15	Projects

Assessment Methods and Criteria	Evaluation Tool	Quantity	Weight	Alignment with LOs	AI Usage
	Final Exam	1	30		Not Allowed
	Semester Evaluation Components
	Midterm exam	1	20		Not Allowed
	Project	2	20		Not Allowed
	Assignments	4	20		Not Allowed
	Participation		10		Not Allowed
* ECTS Credit Calculation *

Activity	Hours	Weeks	Student Workload Hours	Activity				Hours	Weeks	Student Workload Hours
Lecture Hours	3	15	45	Home study				1	15	15
Case study	15	1	15	Project				5	5	25
Midterm exam study	25	1	25	Final exam study				25	1	25
				Total Workload Hours =						150
*T= Teaching, P= Practice				ECTS Credit =						6
Course Academic Quality Assurance: Semester Student Survey									Last Update Date: 27/03/2026

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