Information Package / Course Catalogue
Information Processing and Al Technologies
Course Code: PLT107
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 0
Credit: 2
Lab: 1
ECTS: 3
Objectives of the Course

The students of the Department of Polymer Technology will be able to improve their knowledge about computers and use advanced computers and basic software.To be able to use artificial intelligence applications.

Course Content

It includes general information about the computer, the main hardware units that make up the computer, the use of computers, its historical development, the principles of computer work and applications, the advanced use of Microsotf office programs, basic programming.To be able to use artificial intelligence applications.

Name of Lecturer(s)
Ins. Gözde ÇETİN
Learning Outcomes
1.Knows the working principles of the computer.
2.Understands the working principles of applications.
3.Can use Microsoft word at advanced level
4.Can use Microsoft excel at advanced level.
5.Can use Microsoft powerpoint at advanced level.
6.Ability to understand artificial intelligence and related topics
7.To have knowledge about artificial intelligence applications.
Recommended or Required Reading
1.Computer and internet use, Hasan Çebi BAL
2.Basic Computer Training, Arkadaş Publications
3.Use of Basic Computer Technologies and Computer Science, Nobel Pub, Nesip Ergül - Tugay Arat
4.Introduction to Computer and Current Software, Prof. Dr. Sibkat Kaçtıoğlu, Yrd. Doç.Üstün Özen, Yrd. Doç. Dr. Uğur Yavuz
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to the course
Week 2 - Theoretical
Parts that make up the Computer System
Week 3 - Theoretical
Windows Operating System
Week 4 - Theoretical
Word processor
Week 5 - Laboratory
Word processor
Week 6 - Theoretical
Spreadsheet
Week 7 - Laboratory
Spreadsheet
Week 8 - Theoretical
Spreadsheet (Midterm evaluation)
Week 9 - Theoretical
Presentation software
Week 10 - Theoretical
Presentation software
Week 11 - Theoretical
Utilities (Compression, image editing, pdf)
Week 12 - Theoretical
Introduction to artificial intelligence, History of artificial intelligence
Week 13 - Theoretical
Introduction to machine learning
Week 14 - Theoretical
Artificial intelligence and business applications
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140121
Laboratory140235
Midterm Examination1718
Final Examination114115
TOTAL WORKLOAD (hours)79
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
3
1
1
5
3
3
1
1
1
1
OÇ-2
2
1
1
4
3
1
1
1
1
1
OÇ-3
1
1
3
3
2
1
1
1
1
1
OÇ-4
1
1
3
4
2
1
1
1
1
1
OÇ-5
1
1
3
3
3
1
1
1
1
1
OÇ-6
1
1
3
1
3
1
1
1
1
1
OÇ-7
1
1
3
1
3
3
1
1
1
1
Adnan Menderes University - Information Package / Course Catalogue
2026