Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1EEE540SELECTED TOPICS IN COMP.HADR. 0+0+03615.06.2026

 
Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program ELECTRICAL AND ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Bu ders, bilgisayar donanımının tarihsel bağlamlarından sistem tasarımlarındaki son trendlere kadar uzanan genel görünümünü, çeşitli mimari teknikleri (örneğin, akış işleme, veri akışı mimarisi, hızlandırmaya uygulanan paralellik) ve çeşitli uygulama alanlarını (örneğin, Makine Öğrenimi, Veritabanı, Grafik, Robotik, Genomik) kapsayacak şekilde inceler.
Course Content Historical Evolution of Hardware Accelerators.Accelerator Taxonomy and Integration.Accelerated System Performance.Stream Processing.Parallelism and Efficiency.Domain Specific Accelerators: GPU.
Course Methods and Techniques Paper Reading Presentations and Summaries

Course Projects
Prerequisites and co-requisities None
Course Coordinator Prof.Dr. Sema Kayhan
Name of Lecturers Prof.Dr. SEMA KAYHAN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Computer Architecture: A Quantitative Approach . John L. Hennessy & David A. Patterson

Course Category
Engineering %40
Field %60

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Assignment 1 % 30
Project 1 % 30
Final examination 1 % 40
Total
3
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Weekly lecture hours 14 3 42
Weekly practical lecture hours 14 2 28
Reading Activities 1 5 5
Material design, application 1 14 14
Presentation 1 40 40
Midterm and midterm exam preparation 1 14 14
Total Work Load   Number of ECTS Credits 6 143

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Understanding Historical and Modern Hardware Architecture Approaches
2 Relating Hardware Designs to Application Areas
3 aluating Current Trends and Research Topics

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Computer Hardware and Historical Perspective bookbook
2 Fundamental Architectural Concepts: Von Neumann and Beyond
3 Data Flow Architectures and Stream Processing
4 Parallelism: Instruction-Level, Thread-Level, and Data-Level
5 Memory Systems and Hierarchies
6 nput/Output Systems and Storage Technologies
7 Hardware Acceleration Techniques (GPU, FPGA, ASIC)
8 ardware Designs for Machine Learning
9 Hardware Approaches for Database System
10 Graphics and Image Processing Hardware
11 Hardware Architectures in Robotic Systems
12 Hardware Solutions for Genomics and Bioinformatics
13 Current Trends: Quantum Computing, Edge Comp
14 Project Presentations

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4
All 5 5 5 5
C1 5 5 5
C2
C3 5 5

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=147945&lang=en