Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
6EEM 302Microcontrollers 3+1+04524.08.2022

 
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical and Electronics Engineering
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Teaching basic principles of analog signal processing.
Course Content Sampling of analog signals, digital filter design, digital filter structures, fast Fourier transform (FFT) and software implementation of digital filters, finite wordlength effects, sampling frequency conversion, several applications
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Asist Prof.Dr. Yavuz ÜSER
Name of Lecturers Asist Prof.Dr. YALÇIN ALBAYRAK
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources The 8051 microcontroller : architecture, programming, and applications,Kenneth J Ayala
Soft microcontroller data book, Dallas semiconductor 

Course Category
Mathematics and Basic Sciences %20
Engineering %30
Field %50

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 30
Assignment 3 % 20
Final examination 1 % 50
Total
5
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Assignments 6 2 12
Mid-terms 1 15 15
Laboratory 14 1 14
Project 1 17 17
Final examination 1 20 20
Total Work Load   Number of ECTS Credits 4 120

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Mikrodenetleyici gerektiren bir sistemi tasarlayabilme
2 Mikrodenetleyicili bir sistemi istenen platformlara uygulayabilme
3 Mikrodenetleyici bünyesindeki modülleri kullanabilme ve pratiğe uygulayabilme
4 Gerektiğinde mikrodenetleyici sistemi değiştirebilme ve yeniden uyarlama

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Proof of sampling theorem for ideal sampling 
2 Analog lowpass, highpass, bandpass and bandstop filter design 
3 Anti-aliasing and reconstructing filter design for practical sampling 
4 Introduction to digital filter design and digital infinite impulse response (IIR) filter design 
5 Digital finite impulse response (FIR) filter design 
6 Hardware implementation of a given IIR filter transfer function 
7 Hardware implementation of a given FIR filter transfer function 
8 Digital all pass filters 
9 Fixed and floating point representation of numbers, Goertzel algorithm 
10 Computation of discrete Fourier transform (DFT) via FFT 
11 Finite wordlength effects on filter frequency response 
12 Sampling frequency conversion (up and down sampling) 
13 Multirate systems and filter banks 
14 Digital signal processing applications (presentations of final projects) 

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
C1 1 2 2 5 4 5 4 4 5 4 2
C2 1 2 2 5 4 5 4 4 5 4 2
C3 1 2 2 5 4 5 4 4 5 4 2
C4 1 2 2 5 4 5 4 4 5 4 2

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  https://obs.akdeniz.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=2429217&lang=en