EE433 Microwave Engineering


EE433 Microwave Engineering

Syllabus   |  International University of Sarajevo  -  Last Update on Mar 03, 2026

Referencing Curricula

HOSTED BY

Electrical and Electronics Engineering

Academic Year
2020 - 2021
Semester
Fall
Course Code
EE433
Weekly Hours
3 Teaching + 0 Practice
ECTS
6
Prerequisites
Teaching Mode Delivery
Prerequisite For
-
Teaching Mode Delivery Notes
-
Cycle
I Cycle
Prof. Jane Doe

TBA

Course Lecturer

Position
-
Email
Phone
033 957
Assistant(s)
-
Assistant E-mail

Course Objectives

- To introduce the students to RF/microwave analysis methods and design technique - To study and analyze passive and active devices commonly utilized in microwave subsystems - To involve the students in a team oriented design project where they can model, design, and test a microwave circuit

Learning Outcomes

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

1
Apply electromagnetic theory to calculations regarding waveguides and transmission lines
2
Apply analysis methods to determine circuit properties of passive/active microwave devices
3
Describe and design microwave circuit or system using computer software (HFSS, Ansoft Designer)

Course Materials

Required Textbook

Microwave Engineering, Peter Rizzi

Additional Literature

Teaching Methods

Class discussion
Power point presentations
Lab exercises.

Weekly Topics

This weekly planning is subject to change with advance notice.
Week Topic Readings / References
1 Transmission line concepts
2 Telegraphs Equation
3 Smith chart
4 S parameters
5 S parameters
6 S parameters
7 Mid - Term
8 Microwave Devices
9 Simulation Program
10 Project Simulations
11 Project Simulations
12 Project Simulations
13 Project Fabrication
14 Project Fabrication
15 Project Presentations

Course Schedule (All Sections)

Course Schedules with all sections will be available here soon.

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

25%x1
Midterm Exam
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

15%x1
Quizzes
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

10%x1
Homework
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

10%x1
Labs
AI: Not Allowed

Alignment with Learning Outcomes :  1  2  3

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)

midterm

25 hours ⏳ (5 week × 5 h)

Project

30 hours ⏳ (15 week × 2 h)

Home study

30 hours ⏳ (10 week × 3 h)

Preparing Final Presentations

20 hours ⏳ (2 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 [EE433] 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 Mar 03, 2026 | International University of Sarajevo

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