COURSE UNIT TITLE

Offered By

Textile Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR YUNUS DOĞAN

Offered to

Textile Engineering

Course Objective

The main objective of this course is to give the theoretical content and applied examples of the technologies used in the field of informatics, as well as to create awareness of the concept of Machine Learning which is spreading rapidly in all sectors today.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s): Mariya Yao, Adelyn Zhou and Marlene Jia, Applied Artificial Intelligence: A Handbook For Business Leaders , 2018
Supplementary Book(s): Oliver Theobald, Machine Learning for Absolute Beginners: A Plain English Introduction , 2017.

Planned Learning Activities and Teaching Methods

Lectures / Presentation
Guided problem solving
Laboratory exercises
Homework

Assessment Methods

Further Notes About Assessment Methods

In-semester studies will be evaluated with a midterm exam and a number of laboratory / homework activities.
The final exam will cover all course topics.

Assessment Criteria

All of the following criteria will be evaluated with exams, homework and laboratory exercises.
1. Learnability of basic concepts will be evaluated with the correct understanding of given problem.
2. The following criteria will be considered during application design composition:
- Correct written and graphical representation of the algorithm
- Including sufficient comments
3. The following criteria should be provided during the translation from application design to program:
- The usage of available algorithms
- The comparisons of similar algorithms in problem solving
4. The following criteria should be considered during the implementation of the program:
- The usage of structured programming techniques
- The usage of sufficient data type
5. Producing significant / correct results of programs that developed for mathematical and other areas will be expected.

Language of Instruction

Turkish

Course Policies and Rules

1. Participation is mandatory (%70 theoretical courses and 80% practices)
2. Every cheating attempt will be finalized with disciplinary action.
3. Instructor reserves the right to quizzes. Notes should be added to these examinations, midterm and final exam grades.

Contact Details for the Lecturer(s)

Dr. Yunus Doğan
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus 35160 BUCA/IZMIR
Tel: +90 (232) 301 74 19
e-mail: yunus@deu.edu.tr

Office Hours

Tuesday 9:00-12:00
Wednedsday 9:00-12:00

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes