Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
YBS 8161	ARTIFICIAL INTELLIGENCE APPLICATIONS	ELECTIVE	2	0	0	4

Offered By

Management Information Systems Non-Thesis(Distance Learning)

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems Non-Thesis(Distance Learning)

Course Objective

The purpose of this course is to provide students systems through which students can control and track administrative activities automatically using information systems.

Learning Outcomes of the Course Unit

1	will manage decision-making processes effectively
2	will introduce computers experiences previosly obtained from complex and independent of each other problems and use it for solution of other problems.
3	Will provide implementation by computer automatizing many administrative processes.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Artificial Intelligence Definition
2	Artificial Intelligence from Past to Present
3	Artificial Intelligence Fundamentals
4	Machine Learning
5	Sample Application
6	Deep Learning
7	Natural Language Processing
8	Sample Application
9	Artificial Intelligence Development Tools
10	Generative AI
11	Artificial Intelligence Examples
12	State Policies in Artificial Intelligence
13	Law and Ethics in Artificial Intelligence Applications
14	Artificial Intelligence in the Future

Recomended or Required Reading

Main Reference: Lucci S. (2012). Artificial Intelligence in the 21st Century.Mercury Learning & Information.
Luger G. F.(2008). Artificial Intelligence: Structures and Strategies for Complex Problem Solving.
Addison-Wesley.
Subsidiary References: Russell S. & Norvig P.(2009).Artificial Intelligence: A Modern.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	FCG	FINAL COURSE GRADE
3	FCG	FINAL COURSE GRADE	MTE * 0.20 + FIN* 0.80
4	RST	RESIT
5	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.20 + RST* 0.80

Further Notes About Assessment Methods

Success of students will be evaluated according to mid-term and final exam.

Assessment Criteria

Students will undergo two exams, one mid-term and one final.

Language of Instruction

Turkish

Course Policies and Rules

The rules applied by the department is valid.

Contact Details for the Lecturer(s)

will be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	14	2	28
Preparation for midterm exam	1	12	12
Preparations before/after weekly lectures	14	3	42
Preparation for final exam	1	16	16
Final	1	1	1
Midterm	1	1	1
TOTAL WORKLOAD (hours)			100

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9	PO.10	PO.11
LO.1	5	5	5	5	5	5	5	5	5	5	5
LO.2	5	5	5	5	5	5	5	5	5	5	5
LO.3	5	5	5	5	5	5	5	5	5	5	5

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION