SE211 Software Construction


SE211 Software Construction

Syllabus   |  International University of Sarajevo  -  Last Update on Apr 04, 2026

Referencing Curricula

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Software Engineering

Academic Year
2025 - 2026
Semester
Spring
Course Code
SE211
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)
Amina Hrustic
Assistant E-mail

Course Objectives

Catalog description: Knowing programming does not make you a software engineer. The objective of this course is to introduce the enabling techniques and design principles necessary to build high quality software, in the context of the object-oriented paradigm. The students’ knowledge in object-oriented programming is enhanced by explaining the advantage of the object-oriented technology in that it promotes good design by its inherent nature through the mechanisms of abstraction, information hiding, encapsulation, and polymorphism. Students will learn how to become good designers by integrating design patterns and test cases upfront in the development cycle.

Learning Outcomes

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

1
Write code that is safe from bugs, easy to understand, and ready for change.
2
Understand key software engineering ideas, including interfaces, specifications, invariants, abstract data types, design patterns, and testing.
3
Apply software engineering ideas to design, implement, and test a small- to medium-scale software system.
4
Understand general programming-language concepts such as static typing, exceptions, access control, interfaces, and equality, and ability to use Java as a particular example language with those concepts.
5
Use modern programming tools (e.g. Eclipse, JUnit) and modern programming technologies (e.g. I/O, regular expressions, threads).

Course Materials

Required Textbook

No specific text book.

Additional Literature
A1• Fowler M., UML Distilled, 3rd ed., Addison Wesley, 2003. A2• Martin R. and Martin M., Agile Principles, Patterns, and Practices in C#, 1st ed., Prentice Hall, 2006. A3• Gamma E., Helm R., Johnson R., and Vlissides J., Design Patterns: Elements of Reusable Object-Oriented Software, 1st ed., Addison-Wesley, 1994.

Teaching Methods

Class discussions with examples
Active tutorial sessions

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Introduction Notes
2 The object-oriented paradigm. Notes
3 Object-oriented programming concepts.- foundations Notes
4 Object-oriented programming concepts.- Notes
5 UML diagrams - class diagrams, interaction diagrams A1
6 UML Diagrams - activity diagrams, state-machine diagrams A1
7 Midterm Exam
8 Design Principles - Single-Responsibility Principle, Open-Closed Principle, Liskov-Substitution Principle A2
9 Design Principles - Dependency-Inversion Principle, Interface Segregation Principle A2
10 Exception Handling, Debugging, Notes
11 Test-Driven development A2
12 Design Patterns - Adapter, Factory, Singleton A2,A3
13 Design Patterns - Strategy, Composite, Observer A2,A3
14 Basic Software Architectures Notes
15 General Review

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
SE211.1 Course Monday 12:00 - 14:50 A F2.14 - Amphitheater II - -
SE211.1 Tutorial Wednesday 14:00 - 15:50 A F1.24 - Amphitheater I - -

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  2  3  4  5

10%x2
Quizzes
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

20%x1
Midterm
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  4

10%x4
Labs-Assignments
AI: Not Allowed

Alignment with Learning Outcomes :  2  3  5

20%x1
Group Projects
AI: Consult Instructor

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)

Assignments

20 hours ⏳ (4 week × 5 h)

In-term Exam Stud

11 hours ⏳ (1 week × 11 h)

Quizzes

16 hours ⏳ (4 week × 4 h)

Home Study

42 hours ⏳ (14 week × 3 h)

Final Exam Study

16 hours ⏳ (1 week × 16 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 [SE211] 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 Apr 04, 2026 | International University of Sarajevo

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