SE406 Software Engineering Management
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Software Engineering
Ali Almisreb
Course Lecturer
Course Objectives
To provide students the necessary knowledge, skills, and tools to manage software projects. To explore the roles and duties of a Software project manager.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
1. Kathy Schwalbe, Information Technology Project Management, 9th edition, Cengage Learning, 2019.
Additional Literature
2. Richard E. (Dick) Fairley, Managing and Leading Software Projects, Wiley-IEEE Computer Society Press, (February 9, 2009)Teaching Methods
Class discussions with examples
Lectures for engaged learning and continuous feedback on progress
Project and homework assignments
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Course Logistics | |
| 2 | Introduction to Project Management | Chapter 1 |
| 3 | The Project Management and Information Technology Context | Chapter 2 |
| 4 | The Project Management Process Groups | Chapter 3 |
| 5 | Project Integration Management | Chapter 4 |
| 6 | Project Scope Management | Chapter 5 |
| 7 | Midterm | |
| 8 | Project Schedule Management | Chapter 6 |
| 9 | Project Cost Management | Chapter 7 |
| 10 | Project Quality Management | Chapter 8 |
| 11 | Project Resource Management | Chapter 9 |
| 12 | Project Communications Management | Chapter 10 |
| 13 | Project Risk Management | Chapter 11 |
| 14 | Project Procurement and Stakeholder Management | Chapter 12,13 |
| 15 | Review, Preparation for the Final Exam |
Course Schedule (All Sections)
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 13:00 - 15:00 | A F2.32 | |
| Wednesday | 12:00 - 13:00 | A F2.32 | |
| Thursday | 10:00 - 12:00 | A F2.32 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Midterm
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Homeworks
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3
Project
AI: Not AllowedAlignment 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)
Homeworks
24 hours ⏳ (6 week × 4 h)
Home Study
24 hours ⏳ (12 week × 2 h)
Project
20 hours ⏳ (10 week × 2 h)
Midterm exam study
11 hours ⏳ (1 week × 11 h)
Final Exam Study
26 hours ⏳ (2 week × 13 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 [SE406] 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
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
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.
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.
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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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| SE406 | Software Engineering Management | 3 | 2 | 6 | Tuesday 15:00- 17:50 | |||||
| Prerequisite | SE211, CS105 | It is a prerequisite to | - | |||||||
| Lecturer | Ali Almisreb | Office Hours / Room / Phone | Tuesday: 13:00-15:00 Wednesday: 12:00-13:00 Thursday: 10:00-12:00 |
|||||||
| aalmisreb@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | To provide students the necessary knowledge, skills, and tools to manage software projects. To explore the roles and duties of a Software project manager. | |||||||||
| Textbook | 1. Kathy Schwalbe, Information Technology Project Management, 9th edition, Cengage Learning, 2019. | |||||||||
| Additional Literature |
|
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| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
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| Teaching Methods | Class discussions with examples. Lectures for engaged learning and continuous feedback on progress. Project and homework assignments. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Course Logistics | |||||||||
| Week 2 | Introduction to Project Management | Chapter 1 | ||||||||
| Week 3 | The Project Management and Information Technology Context | Chapter 2 | ||||||||
| Week 4 | The Project Management Process Groups | Chapter 3 | ||||||||
| Week 5 | Project Integration Management | Chapter 4 | ||||||||
| Week 6 | Project Scope Management | Chapter 5 | ||||||||
| Week 7 | Midterm | |||||||||
| Week 8 | Project Schedule Management | Chapter 6 | ||||||||
| Week 9 | Project Cost Management | Chapter 7 | ||||||||
| Week 10 | Project Quality Management | Chapter 8 | ||||||||
| Week 11 | Project Resource Management | Chapter 9 | ||||||||
| Week 12 | Project Communications Management | Chapter 10 | ||||||||
| Week 13 | Project Risk Management | Chapter 11 | ||||||||
| Week 14 | Project Procurement and Stakeholder Management | Chapter 12,13 | ||||||||
| Week 15 | Review, Preparation for the Final Exam | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 30 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm | 1 | 20 | 1,2,3 | Not Allowed | |
| Homeworks | 6 | 30 | 1,2,3 | Not Allowed | |
| Project | 1 | 20 | 1,2,3,4 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Homeworks | 4 | 6 | 24 | |||
| Home Study | 2 | 12 | 24 | Project | 2 | 10 | 20 | |||
| Midterm exam study | 11 | 1 | 11 | Final Exam Study | 13 | 2 | 26 | |||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||