COURSE UNIT TITLE

: DIGITAL AUDIO PROCESSING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5076 DIGITAL AUDIO PROCESSING ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Computer Engineering (Non-Thesis-Evening) (English)
Computer Engineering Non-Thesis (English)
Computer Engineering (English)
Computer Engineering (English)
COMPUTER ENGINEERING (ENGLISH)

Course Objective

This course aims firstly- to inroduce CE students to Acoustics and Audio analyzing. Students will be driven into a thorough overview of linear system theory and introducing the necessary mathematical concepts will be in the beginning. Meanwhile in this Course primary MATLAB digital processing tools will be thought and how to employ them in the commonest audio processing subjects will be explained. Course will check students making use of this knowledge in their specific term projects.

Learning Outcomes of the Course Unit

1   to be able tp Understand of basics of Acoustics and audio processing.
2   to be able to Understand of linear system theory as a tool to analyze acoustic objects hence modeling them for computer usage.
3   to be able to use MATLAB digital processing tools
4   to be able to make computer based acoustics analyses and reporting them
5   to be able to take part in interdisciplinary projects with audio/music science teams

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: Acoustics and audio concepts.
2 Analyzing acoustic waves
3 Using MatLab to present audio to computer enviroment
4 Analyzing and modelling acoustic instruments-I Most used types
5 Analyzing and modelling acoustic instruments-II
6 ADSR envelops and Simulating acoustic instruments
7 Fourier transform analysis.
8 Digiatal Audio Processing (DAP): Mixing and Noise
9 Digiatal Audio Processing (DAP): Filtering
10 Midterm.
11 Finding musical notes in audio.
12 Finding syllabels in speech audio.
13 Submittal of Assignement(s). Discussing Project Topics.
14 Speech recognition subjects. Audio simulation for a structure (room example).

Recomended or Required Reading

Main: Introduction to Sound processing, Davide Rocchesso. Universitâ di Verona
Supplementary: Presantations lectured in class
References: Web based resources for related topics (will be specified during the semestre).

Planned Learning Activities and Teaching Methods

Lectures in interactive class sessions. Mandatory submittals for given text reading summaries. Personal presantation on chosen topics.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 PRJ PROJECT
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.40 + PRJ * 0.30


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

Further Notes About Assessment Methods

Term project is due at the time of Finals.
Evaluation of Home-works+Personal term project+Midterm Exam averaged.

Assessment Criteria

Checking the knowledge transfer, interest in the area and repot/presantation of what is understood.

Language of Instruction

English

Course Policies and Rules

Continous connection with class progress and lecturer is required.

Contact Details for the Lecturer(s)

Dokuz Eylül University, Department of Computer Engineering
Tınaztepe Campus 35160 Buca, Izmir
Tel:+90-(232) 301 74 01

Office Hours

will be furnished upon request by students at the beginning of the semestre.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Preparation for midterm exam 1 12 12
Preparations before/after weekly lectures 14 5 70
Preparing assignments 1 31 31
Design Project 1 30 30
Midterm 1 3 3
TOTAL WORKLOAD (hours) 182

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.13332232332
LO.23525232432
LO.33433333432
LO.43445454545
LO.54453455445