EE221 Object Oriented Programming
EE221 Object Oriented Programming
Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026
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Electrical and Electronics Engineering
Kanita Karađuzović-Hadžiabdić
Course Lecturer
Course Objectives
The aims of this course are to: teach students main object-oriented concepts and practices, introduce students to one object-oriented programming language, teach students some of the fundamental data structures and algorithms.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
Walter Savitch, Absolute Java, 6th Edition Pearson; Carrano, Data Structures and Abstractions with Java, 4th Edition
Additional Literature
Class notesTeaching Methods
Lectures
Class discussion
Practical work
Homework exercises
Lab exercises
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Introduction to the course | Chapter 1,2,3 (Savitch) |
| 2 | Intro to Classes, Methods and Instance Variables | Chapter 4 (Savitch) |
| 3 | Information Hiding and Encapsulation, Constructors, Static Methods, Static Variables, Wrapper Classes, | Chapter 4,5 (Savitch) |
| 4 | References and Class Parameters, Copy Constructors, Graded Lab1 | Chapter 7 (Savitch) |
| 5 | Inheritance, PART I | Chapter 7 (Savitch) |
| 6 | Inheritance, PART II, Graded Lab2 | Chapter 8 (Savitch) |
| 7 | Polymorphism and Abstract Classes. | Chapter 9 (Savitch) |
| 8 | Exception Handling, Graded Lab3 | |
| 9 | MIDTERM WEEK | |
| 10 | Intro to UML (basics of class diagram), Debugging, Swing I | Chapter 12,17 (Savitch) |
| 11 | Swing, cont. Graded LAB4 (or next week due to 1st May holiday) | Ch 17 (Savitch) |
| 12 | Data Strucures Bags, Array Implementation | Chapter 1,2 (Savitch) |
| 13 | Data Strucures, (Bags, LInk Implemenation, Intro to Stacks. Graded LAB5, or next week | Chapter 3,5 Intro (Carrano) |
| 14 | Data Strucures, Stack Implementation, Intro to Queues, Deques, and Priority Queues | Chapter 6, 10 Intro (Carrano) |
| 15 | Revision for the final exam |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| EE221.1 | Course | - | - | - | - |
| EE221.2 | Course | - | - | - | - |
| EE221.1 | Tutorial | - | - | - | - |
| EE221.2 | Tutorial | - | - | - | - |
| EE221.3 | Tutorial | - | - | - | - |
| EE221.4 | Tutorial | - | - | - | - |
| EE221.5 | Tutorial | - | - | - | - |
| EE221.6 | Tutorial | - | - | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 10:00 - 12:00 | B F3.13 | |
| Wednesday | 14:00 - 17:00 | B F3.13 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2
In-Lab assignments
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Homework
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
I
AI: Not AllowedAlignment 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 | ||
| 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)
Active Tutorials
28 hours ⏳ (14 week × 2 h)
Home Study
60 hours ⏳ (15 week × 4 h)
In-term Exam Study
7 hours ⏳ (1 week × 7 h)
Final Exam Study
10 hours ⏳ (1 week × 10 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 [EE221] 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
Print Syllabus
Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| EE221 | Object Oriented Programming | 3 | 2 | 6 | ||||||
| Prerequisite | ENS213 | It is a prerequisite to | - | |||||||
| Lecturer | Kanita Karađuzović-Hadžiabdić | Office Hours / Room / Phone | Tuesday: 10:00-12:00 Wednesday: 14:00-17:00 |
|||||||
| kanita@ius.edu.ba | ||||||||||
| Assistant | Kenan Micivoda | Assistant E-mail | 230302299@student.ius.edu.ba | |||||||
| Course Objectives | The aims of this course are to: teach students main object-oriented concepts and practices, introduce students to one object-oriented programming language, teach students some of the fundamental data structures and algorithms. | |||||||||
| Textbook | Walter Savitch, Absolute Java, 6th Edition Pearson; Carrano, Data Structures and Abstractions with Java, 4th Edition | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Lectures, Class discussion, Practical work, Homework exercises, Lab exercises | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Introduction to the course | Chapter 1,2,3 (Savitch) | ||||||||
| Week 2 | Intro to Classes, Methods and Instance Variables | Chapter 4 (Savitch) | ||||||||
| Week 3 | Information Hiding and Encapsulation, Constructors, Static Methods, Static Variables, Wrapper Classes, | Chapter 4,5 (Savitch) | ||||||||
| Week 4 | References and Class Parameters, Copy Constructors, Graded Lab1 | Chapter 7 (Savitch) | ||||||||
| Week 5 | Inheritance, PART I | Chapter 7 (Savitch) | ||||||||
| Week 6 | Inheritance, PART II, Graded Lab2 | Chapter 8 (Savitch) | ||||||||
| Week 7 | Polymorphism and Abstract Classes. | Chapter 9 (Savitch) | ||||||||
| Week 8 | Exception Handling, Graded Lab3 | |||||||||
| Week 9 | MIDTERM WEEK | |||||||||
| Week 10 | Intro to UML (basics of class diagram), Debugging, Swing I | Chapter 12,17 (Savitch) | ||||||||
| Week 11 | Swing, cont. Graded LAB4 (or next week due to 1st May holiday) | Ch 17 (Savitch) | ||||||||
| Week 12 | Data Strucures Bags, Array Implementation | Chapter 1,2 (Savitch) | ||||||||
| Week 13 | Data Strucures, (Bags, LInk Implemenation, Intro to Stacks. Graded LAB5, or next week | Chapter 3,5 Intro (Carrano) | ||||||||
| Week 14 | Data Strucures, Stack Implementation, Intro to Queues, Deques, and Priority Queues | Chapter 6, 10 Intro (Carrano) | ||||||||
| Week 15 | Revision for the final exam | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 40 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm Exam | 1 | 30 | 1,2 | Not Allowed | |
| In-Lab assignments | 5 | 25 | 1,2,3,4 | Not Allowed | |
| Homework | 5 | 5 | 1,2,3,4 | Not Allowed | |
| I | Not Allowed | ||||
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 15 | 45 | Active Tutorials | 2 | 14 | 28 | |||
| Home Study | 4 | 15 | 60 | In-term Exam Study | 7 | 1 | 7 | |||
| Final Exam Study | 10 | 1 | 10 | |||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 27/03/2026 | |||||||||