SE322 Software Requirements Analysis


SE322 Software Requirements Analysis

Syllabus   |  International University of Sarajevo  -  Last Update on Oct 10, 2025

Referencing Curricula

HOSTED BY

Software Engineering

Academic Year
2025 - 2026
Semester
Fall
Course Code
SE322
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

Mohammed Saeed Jawad

Course Lecturer

Position
Assistant Professor Dr.
Phone
033 957
Assistant(s)
Hamza Sušić
Assistant E-mail

Course Objectives

Understand the purpose and processes of software requirements engineering in the software development lifecycle. Apply structured techniques to elicit and clarify stakeholder and business needs. Model and document functional and non-functional requirements within a Software Requirements Specification (SRS). Analyze and validate requirements for clarity, completeness, consistency, and feasibility. Prioritize, negotiate, and manage changing requirements in traditional and agile projects. Demonstrate effective teamwork and communication in the requirements process.

Learning Outcomes

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

1
Demonstrate understanding different types of requirements, and how to properly adapt to changes in product requirements.
2
Effectively document and analyze clear requirements in order to drive effective software development.
3
Demonstrate basic skills for visualizing client requirements using low-fidelity prototypes such as wireframes and storyboards
4
Express requirements with the help of tools such as user stories, acceptance tests, product backlog, and story maps.
5
Effectively work in teams that involve skills such as organization, planning, time management and within group organization.

Course Materials

Required Textbook

Pohl, K., & Rupp, C. (2022). Requirements Engineering: Fundamentals, Principles, and Techniques (3rd ed.). Springer. ISBN 978-3-030-87328-0

Additional Literature
Beatty, J., & Wiegers, K. (2022). Software Requirements Essentials: Core Practices for Successful Business Analysis. Addison-Wesley. Larman, C. (2004). Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd ed.). Pearson Education. (Reference for modeling.)

Teaching Methods

Lectures
Interactive discussions
Case-based exercises
Guided elicitation workshops
Group SRS project
Peer review
And oral presentation.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction to requirements engineering; overview of the course and SRS process Ch. 1–2
2 Requirements engineering concepts, roles, and stakeholders Ch. 3
3 Stakeholder goals and requirement categories (functional vs non-functional) Ch. 4–5
4 Business analysis and project vision; problem definition and scope Ch. 6
5 Requirements elicitation techniques (interviews, workshops, observation) Ch. 7
6 Documenting and modeling requirements (use cases, UML, textual templates) Ch. 8–9
7 MIDTERM
8 Validation and negotiation of requirements; conflict resolution Ch. 10
9 Quality attributes and prioritization methods Ch. 11–12
10 Modeling and use cases for requirement clarification Ch. 13
11 Requirements management and traceability Ch. 15
12 Requirements in agile and hybrid projects Ch. 16
13 Project presentations – SRS walk-through and peer review Project documentation
14 Final presentations and course wrap-up Project documentation
15 Final Review before Final Review

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
SE322.1 Course Tuesday 09:00 - 11:50 B F1.23 - Amphitheater I - -
SE322.1 Tutorial Friday 16:00 - 17:50 B F1.23 - Amphitheater I - -
SE322.2 Tutorial Thursday 18:00 - 19:50 B F2.17 - -

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

25%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

10%x2
Quizzes
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

25%x1
In-term examination
AI: Not Allowed

Alignment with Learning Outcomes :  1

30%x1
Project
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

10%x6
Labs
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)

Project

36 hours ⏳ (12 week × 3 h)

Home studies

42 hours ⏳ (14 week × 3 h)

In-term Exam study

12 hours ⏳ (1 week × 12 h)

Final Exam Study

15 hours ⏳ (1 week × 15 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 [SE322] 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 Oct 10, 2025 | International University of Sarajevo

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