高等積體電路設計

臺北科技大學 115-1 學期課程，課號 363474。

• 學期：115-1
• 授課教師：李明哲
• 學分：3
• 選修
• 上課時段：週四 8、9、A 節

課程大綱

1.Using ADFT 16nm FinFET and/or CIC18 with EDA tools 2.Introduction to Deep Neural Networks 3.Design of Hardware for Processing DNNs 4.ADC Designs

課程進度

week 1 Introduction to Deep Neural Networks week 2-4 Overview of Deep Neural Networks week 5-6 Key Metrics and Design Objectives week 7-8 Kernel Computation week 9 Mid-term exam or Mid-term project week 10-12 Designing DNN Accelerators week 13 Integrating Converters week 14 Flash Converters week 15-17 Successive-Approximation Converters week 18 Final exam or Final project Note 1: The above weekly schedules are subject to change without further notice. Note 2: Laboratory sessions will be provided to strengthen practical hands-on skills.

評量方式

Attendance: 20% Homework + Classwork: 20% Mid-term exam or Mid-term project: 30% Final exam or Final project: 30%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 (1) Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer, "Efficient Processing of Deep Neural Networks," Springer (2) David A. Johns and Ken Martin, "Analog Integrated Circuit Design," Wiley