ELE621 - MICROWAVE CIRCUIT DESIGN TECHNIQUES

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
MICROWAVE CIRCUIT DESIGN TECHNIQUES ELE621 Any Semester/Year 3 0 3 8
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Question and Answer
Preparing and/or Presenting Reports
Problem Solving
 
Instructor (s)Department Faculty 
Course objective-To teach the basic structures and different theories for the design of circuits in high frequency. -To gain the ability of design of Advanced Microwave Circuits.  
Learning outcomes
  1. L.O.1. To describe the main principles and applications of Advanced Microwave Circuit Design
  2. L.O.2. The usage of microstrip structures for the designs of advanced filters, amplifiers, oscillator and parametric amplifiers
  3. L.O.3. The usage of simulation programs for the design,
  4. L.O.4. To understand of related literature
Course Content Lecture contains the advanced level of the design of filters, single and multiple stage amplifiers, parametric amplifiers oscillators in high frequency circuits by using microstrip structures. 
ReferencesLecture notes
R.E. Collin. Foundations for Microwave Eng.. McGraw-Hill Pub. Comp.
J. Everard. Fundamentals of RF Circuit Design with Low Noise Oscillators, John Wiley and Sons Ltd
G.D. Veldelin, A.M. Pavio, U.L.Rohde, Microwave Circuit Design Using Linear and Nonlinear Techniques Willey Interscience Pub.
 

Course outline weekly

WeeksTopics
Week 1 Review of Transmission Lines and Waveguides
Week 2Review of Matching Concepts for real loads
Week 3Advanced Filter Design Techniques
Week 4Microstrip structures
Week 5Design Techniques for microstrip structures
Week 6 Advanced Matching Techniques
Week 7Midterm Exam-I
Week 8Design Techniques for Amplifiers and Mixers
Week 9Parametric Amplifiers
Week 10Microwave Detector Circuits
Week 11Oscillators
Week 12Midterm Exam II
Week 13Noise Analysis in Microwave Integrated Circuits
Week 14 Review of the important points
Week 15Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation110
Project00
Seminar00
Midterms240
Final exam150
Total100
Percentage of semester activities contributing grade succes350
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation12222
Project000
Homework assignment000
Midterms (Study duration)22550
Final Exam (Study duration) 12525
Total Workload3280209

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge.  X  
2. Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering.   X 
3. Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. X   
4. Designs and runs research projects, analyzes and interprets the results.  X  
5. Designs, plans, and manages high level research projects; leads multidiciplinary projects.   X 
6. Produces novel solutions for problems.  X  
7. Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects.  X  
8. Follows technological developments, improves him/herself , easily adapts to new conditions.  X   
9. Is aware of ethical, social and environmental impacts of his/her work.X    
10. Can present his/her ideas and works in written and oral form effectively; uses English effectively X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest