CS304 Computer Architecture


CS304 Computer Architecture

Syllabus   |  International University of Sarajevo  -  Last Update on Feb 02, 2026

Referencing Curricula

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Computer Sciences and Engineering

Academic Year
2025 - 2026
Semester
Spring
Course Code
CS304
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

Ali Almisreb

Course Lecturer

Position
Associate Professor Dr.
Phone
033 957 243
Assistant(s)
Harun Hadžo
Assistant E-mail

Course Objectives

This course is concerned with the structure and behavior of the various functional modules of a digital computer and the reasoning behind their interaction to provide the processing needs of the user. It covers the general features of the MIPS instruction set, arithmetic and floating-point operations, performance evaluation using Amdahl's law, pipelining, data and branch hazards, and memory.

Learning Outcomes

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

1
Master of the basic concepts underlying all computer systems
2
Apply the knowledge of computer architecture to debug a program
3
Design efficient, secure, cache-efficient and reliable programs
4
Write programs in an assembly language

Course Materials

Required Textbook

Computer Organization and Architecture, W. Stalling, 10th Edition, Prentice Hall, 2016.

Additional Literature
David A. Patterson and John L. Hennessy Computer Organization and Design: The Hardware/Software Interface, 5th Edition, 2013.

Teaching Methods

Class discussions with examples
Lab exercises and quizzes

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Basic concepts and computer evolution & Performance Issues Ch 1+ Ch 2
2 A Top-Level View of Computer Function and Interconnection Ch 3
3 Cache Memory Ch 4
4 Internal Memory - Quiz 1 Ch 5
5 External Memory Ch 6
6 Input/Output Ch 7
7 Instruction Sets: Characteristics and Functions Ch 12
8 Mid-Term Exam
9 Instruction Sets: Addressing Modes and Formats Ch 13
10 Processor Structure and Function Ch 14
11 Parallel Processing Ch 17
12 Multicore Computers - Quiz 2 Ch 18
13 General- Purpose Graphic Processing Units Ch 19
14 Control Unit Operation - Project Submission Ch 20
15 Microprogrammed Control Ch 21

Course Schedule (All Sections)

SectionTypeDay 1Venue 1Day 2Venue 2
CS304.1 Course Monday 15:00 - 17:50 A F1.24 - Amphitheater I - -
CS304.1 Tutorial Friday 14:00 - 15:50 B F1.25 Computer Lab - -
CS304.2 Tutorial Wednesday 18:00 - 19:50 A F1.4 - Class/Laboratory - -
CS304.3 Tutorial Tuesday 18:00 - 19:50 A F1.18 - Computer Lab - -

Office Hours & Room

DayTimeOfficeNotes
Thursday 09:00 - 11:55 A F2.6
Friday 09:00 - 11:55 A F2.6

Assessment Methods and Criteria

Assessment Components

40%x1
Final Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  4  5

30%x1
Midterm exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

10%x2
Quizzes
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3  5

20%x1
Projects
AI: Consult Instructor

Alignment with Learning Outcomes :  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)

Quizzes

16 hours ⏳ (4 week × 4 h)

Projects

20 hours ⏳ (2 week × 10 h)

In-term exam study

11 hours ⏳ (1 week × 11 h)

Final exam study

16 hours ⏳ (1 week × 16 h)

Home study

42 hours ⏳ (14 week × 3 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 [CS304] 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 Feb 02, 2026 | International University of Sarajevo

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