Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Dept.of Electrical and Electronics Engineering(Eng)
  • Course Structure Diagram with Credits
  • Introduction to AI Processor Design
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title EEM438 - Introduction to AI Processor Design
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ MEHMET FİDAN
Mode of Delivery Face-to-face
Prerequisites There is no prerequisites.
Courses Recomended EEM 232 -Digital Systems IEEM 336- Microprocessors I EEM 334- Digital Systems IIBİL200- Computer Programming
Recommended Reading List Chenxiong Zhang,”AI chips: Cutting-Edge Technologies and Innovative Future”, Posts and telicommunications Press,April, 2021Vivienne Sze et al.,” Efficient Processing of Deep Neural Networks”,Morgan &Claypool; publishers,April, 2020
Assessment methods and criteria Two midterm exams, Implementation, Final Exam
Work Placement Yok
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Introduction to AI processors
Week - 2 Basics of Neural Network
Week - 3 Basic of Deep Learning
Week - 4 Operational Principle of Deep Learning Hardware Accelerator
Week - 5 Hardware Architecture of DNN processors
Week - 6 Principle of Spike Neural Network
Week - 7 Hardware Architecture of SNN processors
Week - 8 Mixed-Signal Computing Paradigms
Week - 9 Cutting-edge technologies of AI SoCs
Week - 10 Chip Implementation
Week - 11 Efficient Processing of Deep Neural Networks
Week - 12 Learning in Energy-Efficient Neuromorphic Computing
Week - 13 Smart Algorithm and Architecture Co-Design
Week - 14 Hardware Implementation and Verification of Design Smart Algorithm via FPGA

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Proje Design/Management
  • Competences
  • Productive
  • Questoning
  • Creative
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • To work autonomously
  • Decision making
  • To work in interdisciplinary projects
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 20
2.Midterm Exam 1 20
Homework 1 20
Final Exam 1 40
Toplam (%) 100
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