SCHOOL

SCHOOL OF ENGINEERING

ACADEMIC UNIT

DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING

LEVEL OF STUDIES

UNDERGRADUATE

COURSE CODE

ECE_Y523

SEMESTER

5

COURSE TITLE

SIGNAL PROCESSING

INDEPENDENT TEACHING ACTIVITIES
if credits are awarded for separate components of the course, e.g. lectures, laboratory exercises, etc. If the credits are awarded for the whole of the course, give the weekly teaching hours and the total credits

WEEKLY TEACHING HOURS

CREDITS

Lectures + Tutorials

3+1

4

Add rows if necessary. The organisation of teaching and the teaching methods used are described in detail at (d).

COURSE TYPE

general background,
special background, specialised general knowledge, skills development

General background

PREREQUISITE COURSES:

• Probability and Statistics
• Signals and Systems

LANGUAGE OF INSTRUCTION and EXAMINATIONS:

Greek

IS THE COURSE OFFERED TO ERASMUS STUDENTS

No

COURSE WEBSITE (URL)

https://eclass.upatras.gr/courses/EE857/

Learning outcomes

The course learning outcomes, specific knowledge, skills and competences of an appropriate level, which the students will acquire with the successful completion of the course are described.

Consult Appendix A

·    Description of the level of learning outcomes for each qualifications cycle, according to the Qualifications Framework of the European Higher Education Area

·    Descriptors for Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Appendix B

·    Guidelines for writing Learning Outcomes

The successful completion of the course will give the ability to the students to:

• design digital filters of finite impulse response (FIR) and infinite impulse response (IIR)
• realise digital filters via the fast convolution
• implement digital filters on finite wordlegth processors
• deal with stochastic signals
• calculate the correlation and variance on stochastic signals
• solve problems of linear systems with stochastic inputs
• calculate the power spectrum of stochastic signals.

General Competences

Taking into consideration the general competences that the degree-holder must acquire (as these appear in the Diploma Supplement and appear below), at which of the following does the course aim?

Search for, analysis and synthesis of data and information, with the use of the necessary technology

Adapting to new situations

Decision-making

Working independently

Team work

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

Project planning and management

Respect for difference and multiculturalism

Respect for the natural environment

Showing social, professional and ethical responsibility and sensitivity to gender issues

Criticism and self-criticism

Production of free, creative and inductive thinking

……

Others…

…….

• Search for, analysis and synthesis of data and information, with the use of the necessary technology,
• Working independently
• Team work
• Production of new research ideas

The whole course consists of the following three parts:

Digital Signal Processing: design of digital filters of finite impulse response (FIR) and infinite impulse response (IIR); realisation of digital filters via the fast convolution; implementation of digital filters on finite wordlength processors.

Information Theory: introduction to information theory (communication model, the measure of information by Shannon); discrete sources of information with or without memory; discrete and continuous communication channels.

Stochastic Signals: first and second moments; stationarity and ergodicity; LTI filtering of stochastic signals; spectal estimation.

DELIVERY
Face-to-face, Distance learning, etc.

Face-to-face

USE OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
Use of ICT in teaching, laboratory education, communication with students

Use of ICT in teaching and communication with students

TEACHING METHODS

The manner and methods of teaching are described in detail.

Lectures, seminars, laboratory practice, fieldwork, study and analysis of bibliography, tutorials, placements, clinical practice, art workshop, interactive teaching, educational visits, project, essay writing, artistic creativity, etc.

The student's study hours for each learning activity are given as well as the hours of non-directed study according to the principles of the ECTS

STUDENT PERFORMANCE EVALUATION

Description of the evaluation procedure

Language of evaluation, methods of evaluation, summative or conclusive, multiple choice questionnaires, short-answer questions, open-ended questions, problem solving, written work, essay/report, oral examination, public presentation, laboratory work, clinical examination of patient, art interpretation, other

Specifically-defined evaluation criteria are given, and if and where they are accessible to students.

The students sit written examinations of 2.30 hours duration. The grade of the 3 essays is taken into consideration in the final grade of the course.

The language of evaluation is Greek.

- Suggested bibliography (in Greek):

• A. Antoniou: "Ψηφιακή Επεξεργασία Σήματος: Σήματα, Συστήματα και Φίλτρα", Εκδόσεις Τζιόλα, 2009
• A. V. Oppenheim, R. W. Schafer: “"Ψηφιακή Επεξεργασία Σημάτων”, Εκδόσεις Φούντας, 2013