COURSE UNIT TITLE

: AGENT TECHNOLOGIES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5058 AGENT TECHNOLOGIES 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

ASSOCIATE PROFESSOR ÖZLEM VARLIKLAR

Offered to

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

Course Objective

The objective of this course is to give the theoretical background with some basic applications to the graduate students who conduct research in fields which use agent technologies.

Learning Outcomes of the Course Unit

1   To learn what an agent and an agent system is.
2   To research and develop new technologies and designs on the agent systems.
3   To categorize the agent system and solve the problems on it.
4   To specify requirements and constraints of an agent system.
5   To design and implement an agent system that accommodates specified requirements and constraints.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction, Intelligent Agents
2 Negotiation in Multi Agent Systems
3 Negotiation in Multi Agent Systems
4 Agent learning
5 Agent learning
6 Agent communication language
7 Sample Applications
8 Agent architectures
9 Agent model and theory
10 Agent oriented software engineering and programming
11 Agent Technology for e-Commerce
12 Mobile Agent Systems
13 Presentations
14 Presentations

Recomended or Required Reading

Supplementary Book(s):
Michael Wooldridge. An Introduction to MultiAgent Systems , 2002.
G.Weiss, editor. "Multiagent Systems". MIT Press, 1999.

Planned Learning Activities and Teaching Methods

Lectures,
Research,
Application Development,
Presentation,
Term project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


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

Further Notes About Assessment Methods

None

Assessment Criteria

Course outcomes will be evaluated with the presentation of the student about a topic and project / report prepared by the student.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Asst.Prof.Dr. Özlem AKTAŞ
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35160 BUCA/IZMIR
Tel: +90 (232) 301 74 26
e-mail: ozlem@cs.deu.edu.tr

Office Hours

Wednesday 10:00 11:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparing assignments 1 50 50
Preparing presentations 2 20 40
Research/Paper Reading 1 20 20
TOTAL WORKLOAD (hours) 180

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.1534
LO.255544
LO.353535
LO.4554
LO.55545