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
FSH 0057	ARTIFICIAL INTELLIGENCE WITH APPLICATIONS	ELECTIVE	0	2	0	2

Offered By

Faculty Of Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR KADRIYE FILIZ BALBAL

Offered to

Biology
Chemistry
Computer Science
Statistics
Mathematics (English)
Physics

Course Objective

The aim of this course is to have knowledge about the development and basic algorithms of Artificial Intelligence and to gain the ability to practice using artificial intelligence techniques.

Learning Outcomes of the Course Unit

1	To have knowledge about the definition of artificial intelligence
2	To be able to comprehend basic artificial intelligence algorithms
3	To be able to apply algorithmic solution methods
4	To be able to determine the appropriate artificial intelligence techniques for the problem
5	To be able to interpret by applying artificial intelligence methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	Introduction to Artificial Intelligence
2	Programs Used in Artificial Intelligence Applications
3	Standardization Methods
4	Classification Algorithms-1
5	Classification Algorithms-2
6	Regression Algorithms
7	Support Vector Machines
8	Applications
9	Artificial Neural Networks-1
10	Artificial Neural Networks-2
11	Clustering Algorithms
12	Project Presentations
13	Project Presentations
14	Project Presentations

Recomended or Required Reading

Textbook(s):
Russell, S.J. And Norvig, P., Artificial Intelligence : A Modern Approach, Third Edition.

Supplementary Book(s):
Tom M. Mitchell, Machine Learning, McGraw Hill, 1997

Planned Learning Activities and Teaching Methods

The course will continue in the form of lectures, homework presentations and discussion by enriching the theoretical content with applications. In addition to the lesson taught, presentations will be prepared in groups and presented in the form of discussion sessions. In some weeks of the course, the results of the previous homework will be discussed and reinforced.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE	MIDTERM EXAM
2	ASG	ASSIGNMENT
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE * 0.30 + ASG * 0.30 + FIN * 0.40
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE * 0.30 + ASG * 0.30 + RST * 0.40

Further Notes About Assessment Methods

None

Assessment Criteria

Exams, assignments

Language of Instruction

Turkish

Course Policies and Rules

Homework submission must be done on time.

Contact Details for the Lecturer(s)

kadriyefiliz.balbal@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities	Number	Time (hours)	Total Work Load (hours)
Lectures	13	2	26
Preparations before/after weekly lectures	12	2	24
Final	1	2	2
Midterm	1	2	2
TOTAL WORKLOAD (hours)			54

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.3	PO.6	PO.11
LO.1	2	2	2
LO.2	2	2	2
LO.3	2	2	2
LO.4	2	2	2
LO.5	2	2	2

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