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ARAKLI ALİ CEVAT ÖZYURT VOCATIONAL SCHOOL / Computer Technology
ARTIFICIAL INTELLIGENCE OPERATOR
Course Catalog
http://www.ktu.edu.tr/araklimyo
Phone: +90 0462 7212184
ACMYO
ARAKLI ALİ CEVAT ÖZYURT VOCATIONAL SCHOOL / Computer Technology / ARTIFICIAL INTELLIGENCE OPERATOR
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YZT1004Artificial Intelligence Hardware3+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseShort Cycle
Status Compulsory
DepartmentComputer Technology
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerÖğr. Gör. Didem ÇAKIR
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The purpose of the course is to provide students with knowledge about computer hardware and peripherals, helping them understand the system requirements and importance of these components. The course aims to equip students with the skills to select, configure, and optimize appropriate hardware for various projects.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Recognizes the hardware components that make up a computer.1,2,3,41,
LO - 2 : Recognizes the fundamental components of a computer and understands their roles and importance in the system.2,31,
LO - 3 : Understands the significance and requirements of components within the system.2,3,4,51,
LO - 4 : Gains knowledge about peripherals and their purposes of use.31,
LO - 5 : Learns about the hardware and components required for artificial intelligence.4,51,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Providing information about computer hardware and peripherals, understanding the fundamental components of a computer in detail, and recognizing the system requirements and their importance for artificial intelligence.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Definition and Historical Development of Computers
 Week 2Introduction to Computer Hardware
 Week 3Basic Hardware Units and Their Working Principles
 Week 4Peripheral Devices
 Week 5Types and Features of Motherboards, ROM, BIOS, POST
 Week 6Processors (CPU): History and Development
 Week 7Current Processors and Their Detailed Features
 Week 8Types of Memory: Differences and Detailed Features
 Week 9Midterm Exam
 Week 10Graphics Processors (GPU) and VRAM Memories
 Week 11Display and Detection Hardware
 Week 12Artificial Intelligence and Its Application Areas
 Week 13Artificial Intelligence Applications and Examples
 Week 14Hardware Requirements Based on AI Application Areas
 Week 15Components Used in AI Applications and System Design
 Week 16The Midterm Exam will take place on a date between weeks 9 and 16. Following the exam, the topics will be postponed by one week starting from the exam date.
 
Textbook / Material
1Jouppi, N. P., Young, C., Patil, N., & diğerleri. (2017). In-Datacenter Performance Analysis of a Tensor Processing Unit. Proceedings of the 44th Annual International Symposium on Computer Architecture (ISCA).
2Kodlab Yayınları. (2021). Donanım Destekli Yapay Zeka Sistemleri. Kodlab.
 
Recommended Reading
1Google. (2023). TPU Architecture and Applications. Google AI Blog.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 1 50
End-of-term exam 16 1 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 3 14 42
Arasınav için hazırlık 1 14 14
Arasınav 1 1 1
Dönem sonu sınavı için hazırlık 1 14 14
Dönem sonu sınavı 1 1 1
Total work load114