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YZT1004 | Artificial Intelligence Hardware | 3+0+0 | ECTS:4 | Year / Semester | Spring Semester | Level of Course | Short Cycle | Status | Compulsory | Department | Computer Technology | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Öğr. Gör. Didem ÇAKIR | Co-Lecturer | | Language of instruction | Turkish | 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 Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : |
Recognizes the hardware components that make up a computer. | 1,2,3,4 | 1, | LO - 2 : | Recognizes the fundamental components of a computer and understands their roles and importance in the system. | 2,3 | 1, | LO - 3 : | Understands the significance and requirements of components within the system. | 2,3,4,5 | 1, | LO - 4 : | Gains knowledge about peripherals and their purposes of use. | 3 | 1, | LO - 5 : | Learns about the hardware and components required for artificial intelligence. | 4,5 | 1, | 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 | |
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. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Definition and Historical Development of Computers | | Week 2 | Introduction to Computer Hardware | | Week 3 | Basic Hardware Units and Their Working Principles | | Week 4 | Peripheral Devices | | Week 5 | Types and Features of Motherboards, ROM, BIOS, POST | | Week 6 | Processors (CPU): History and Development | | Week 7 | Current Processors and Their Detailed Features | | Week 8 | Types of Memory: Differences and Detailed Features | | Week 9 | Midterm Exam | | Week 10 | Graphics Processors (GPU) and VRAM Memories | | Week 11 | Display and Detection Hardware | | Week 12 | Artificial Intelligence and Its Application Areas | | Week 13 | Artificial Intelligence Applications and Examples | | Week 14 | Hardware Requirements Based on AI Application Areas | | Week 15 | Components Used in AI Applications and System Design | | Week 16 | The 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. | | |
1 | Jouppi, 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). | | 2 | Kodlab Yayınları. (2021). Donanım Destekli Yapay Zeka Sistemleri. Kodlab. | | |
1 | Google. (2023). TPU Architecture and Applications. Google AI Blog. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | | 1 | 50 | End-of-term exam | 16 | | 1 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (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 load | | | 114 |
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