COURSE UNIT TITLE

: KNOWLEDGE BASED SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5014 KNOWLEDGE BASED SYSTEMS ELECTIVE 3 0 0 9

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR RECEP ALP KUT

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Computer Engineering (Non-Thesis-Evening) (English)
Computer Engineering Non-Thesis (English)
Biomedical Tehnologies (English)
Computer Engineering (English)
Artificial Intelligence and Intelligent Systems
Computer Engineering (English)
COMPUTER ENGINEERING (ENGLISH)

Course Objective

This course includes Information Systems Technology and investigation of its use with the latest developments in the fields. Within the course, research and review of the literature and application development processes are also included.

Learning Outcomes of the Course Unit

1   Define Knowledge Based Systems
2   Define Knowledge Based Systems area of usages
3   Determine methods and technologies for implementing Decision Support System
4   Design new solutions for business intelligence
5   Implement the visualization with presenting results

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Knowledge Based Systems
2 Knowledge Discovery in Databases (KDD)
3 Business Intelligence
4 Decision Support Systems I
5 Decision Support Systems II
6 Decision Support System Case Studies
7 Medical Decision Support Systems
8 Knowledge Representation
9 Knowledge Visualization
10 Mobile Knowledge Representation
11 Agent-Based Systems
12 Spatial Decision Support Systems
13 Dashboard Systems
14 Final Presentations

Recomended or Required Reading

Textbook(s): Rajendra Akerkar, Priti Sajja (2009) Knowledge-Based Systems, Jones & Bartlett Publishers, ISBN-13: 978-0763776473.

Planned Learning Activities and Teaching Methods

Lectures
Literature Research
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

Assessment will be the success level of presentation and the final report of term project.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof.Dr.Alp Kut
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35160 BUCA/IZMIR
Tel: +90 (232) 301 74 01
e-mail: alp@cs.deu.edu.tr

Office Hours

Wednesday 9:00 - 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
Project Preparation 1 65 65
Preparing presentations 1 50 50
Other (research, paper reading, etc.) 1 40 40
TOTAL WORKLOAD (hours) 225

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.15
LO.2444
LO.353344
LO.44434
LO.544

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

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