Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Prof. Mustafa KESEN

Assoc. Prof. Beyza ERER

Assoc. Prof. Didem TEZSÜRÜCÜ COŞANSU

Assoc. Prof. Funda ODUNCUOĞLU

Lec. Derya GÜL ÖZTÜRK

Information and Communication Technologies

Course Code	: İK251
Course Type	: Area Elective
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 6

Objectives of the Course

Basic concepts about computer systems and internet, e-mail management, operating systems in computers, office applications, and web based programs in basic level.

Course Content

Basic Information Concepts, Internet Technologies, Windows, MS Word, MS Excel, MS PowerPoint, Google Applications, Social Networks, Social Media...

Name of Lecturer(s)

Learning Outcomes

1.	Basic concepts about computer and information systems.
2.	E-mail management.
3.	Using operating systems in computers.
4.	Using internet and internet applications.
5.	Using word proccessors.
6.	Using spreadsheat programs.
7.	Using presentation programs.

Recommended or Required Reading

1.	Efraim Turban, Linda Volonino, Gregory R. Wood
2.	Kenneth C. Laudon, Jane P. Laudon

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to Information and Communication Technologies

Week 2 - Theoretical

Basic Computer Science and Hardware

Week 3 - Theoretical

Network Technologies and Internet

Week 4 - Theoretical

Database Management

Week 5 - Theoretical

Software Development and Programming Fundamentals

Week 6 - Theoretical

Web Technologies

Week 7 - Theoretical

Mobile Technologies and Application Development

Week 8 - Theoretical

Data Security and Privacy

Week 9 - Theoretical

Cloud Computing

Week 10 - Theoretical

Artificial Intelligence and Machine Learning

Week 11 - Theoretical

IoT (Internet of Things) and Sensor Technologies

Week 12 - Theoretical

Big Data and Data Analytics

Week 13 - Theoretical

Digital Transformation and Business Processes

Week 14 - Theoretical

Future Technologies and Trends

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Midterm Examination	1	%40
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	13	2	3	65
Individual Work	13	0	3	39
Midterm Examination	1	20	1	21
Final Examination	1	25	1	26
TOTAL WORKLOAD (hours)				151

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10
OÇ-1	4	3	4	3	4	4	4	4	4	4
OÇ-2	3	3	3	4	3	4	4	4	4	4
OÇ-3	4	4	4	4	4	4	4	4	3	4
OÇ-4	3	3	3	3	3	3	3	3	3	3
OÇ-5	3	3	3	4	4	4	4	4	4	4
OÇ-6	4	4	4	4	4	4	4	4	4	4
OÇ-7	4	4	4	4	4	4	4	4	4	4