COURSE UNIT TITLE

: SIGNAL PROCESSING AND ANALYSIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEC 5011 SIGNAL PROCESSING AND ANALYSIS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR TANER AKKAN

Offered to

Mechatronics Engineering
M.Sc. Mechatronics Engineering
Mechatronics Engineering

Course Objective

The objectives of the course are to introduce data acquisition and signal processing systems and the students who takes this course will be familiar with the basics of the electrical measurements and related statistical concepts; the types of signals, time domain and frequency domain signal processing methods. Also, digital signals processing systems will be demonstrated. Another objective is to gain ability to simulate digital systems in computer.

Learning Outcomes of the Course Unit

1   The students are expected to learn basics of electrical measurements
2   The students are expected to understand types of signals and their properties
3   The students are expected to learn to analyze signals in frequency and in z-domain
4   The students are expected to gain skills to prepare a digital signal processing project
5   The students are expected to gain skills to present their projects in both oral and written fashion

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Measurements
2 Processing of Signals
3 Basics of Signals and Systems
4 Frequency Analysis of Signals and Systems
5 Discrete Fourier Transform and Fast Fourier Transform Algorithms
6 Discrete Fourier Transform and Fast Fourier Transform Algorithms
7 z-Transform and Its Applications
8 MIDTERM
9 Digital Filters
10 Digital Filters
11 Digital Filters
12 Digital Signal Processing Hardware
13 Case studies
14 Case studies
15 Case studies

Recomended or Required Reading

A. Oppenheim, A.S. Wilsky, Signals and Systems , Prentice Hall, 1997.
B J.G. Proakis, D.G. Manolakis, Digital Signal Processing: Principles, Algorithms and Applications , Prentice Hall, 1996.

Planned Learning Activities and Teaching Methods

Oral Presentation and computer simulations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE MTE * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE MTE * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 8 112
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 210

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.142122
LO.2332222
LO.3332222
LO.44433232322
LO.5333424233

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS