COURSE UNIT TITLE

: ADVANCED INFORMATION SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5015 ADVANCED INFORMATION 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

ASSOCIATE PROFESSOR DERYA BIRANT

Offered to

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

Course Objective

This course proposes recent advances in Information System Technologies and area of their usages. This course contains both research / literature searching and application development proceses.

Learning Outcomes of the Course Unit

1   Define Information Systems
2   Define Information Systems area of usages
3   Determine methods and technologies for implementing IS
4   Design new solutions for specific area
5   Implement the new ideas 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 Information Systems
2 Information Systems in Organizations
3 Management Information Systems
4 IoT Based Information Systems
5 Knowledge Based Systems
6 Mobile Information Systems
7 Intelligent Systems - I
8 Intelligent Systems - II
9 Geographical Information Systems
10 Decision Support Systems - I
11 Decision Support Systems - II
12 Business Intelligence
13 Expert Systems
14 Project presentations

Recomended or Required Reading

Textbook:
R. Stair, G. Reynolds, Principles of Information Systems, Cengage Learning, 2017, 13 edition, ISBN: 978-1305971776

Planned Learning Activities and Teaching Methods

Lectures
Literature Search / 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

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

Language of Instruction

English

Course Policies and Rules

Code writing knowledge and skills are required.
Participation is mandatory.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Derya BIRANT
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35390 Buca / IZMIR
Tel: +90 (232) 301 74 01
E-mail: derya@cs.deu.edu.tr

Office Hours

Tuesday 9:30 - 10:30

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
Web Search and Library Research 1 5 5
Reading 10 3 30
Project Preparation 1 65 65
Preparing presentations 1 30 30
Preparing report 1 25 25
TOTAL WORKLOAD (hours) 225

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.14
LO.2444
LO.35434
LO.4444
LO.5554

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

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