課程資訊
課程名稱
 智慧感測系統設計
Design for Smart Sensing Systems 
開課學期
 112-1 
授課對象
 電機資訊學院  資訊工程學研究所  
授課教師
 施吉昇 
課號
 CSIE5375 
課程識別碼
 922EU4880 
班次
  
學分
 3.0 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期三7,8,9(14:20~17:20) 
上課地點
  
備註
 本課程以英語授課。上課教室：學新113。
總人數上限：15人 
  
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
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課程概述

Smart sensing systems have the capability of processing the sensing data on the device and the capability of providing the detected events as the outputs. This type of sensing system is required to generate accurate sensing events in real time. The systems are also required to minimize their energy consumption in specific application scenarios. With smart sensing systems, the faults can be contaminated, the system can be more robust and easy to develop. Finally, the systems can be certified for medical use.

The course is designed for senior and graduate students majoring in Computer Science to learn the design philosophy, practice, and research challenges for software design for smart sensing systems. Specifically, this course will aim at smart medical sensing systems and teach how to design smart medical sensing systems. 

課程目標
 In this course, the students will learn how to model smart sensing devices, real-time computation, and Computing-In-Memory devices, and communications between computing devices. The following are the goals of this course.

‧Understand application use scenarios and requirements for smarting sensing applications.
‧Understand the design issue and challenges for smarting sensing systems.
‧The interplay of software and hardware with the physical environment in which they operate. 
課程要求
  
預期每週課後學習時數
  
Office Hours
 備註： LECTURER: Prof. Chi-Sheng Shih Email: cshih@csie.ntu.edu.tw Office: Rm. 523 CSIE Building Office Hour: 9:00AM ~ 10:30AM on every Friday TEACHING ASSISTANT: Name: Xin-You Liu Email: d12922007@csie.ntu.edu.tw or r10944004@csie.ntu.edu.tw Office: Rm. 442 CSIE Buildingor B04 CSIE Building Office Hour: 12:30PM ~ 14:20PM on every Wednesday Attend the TA hour or email to reserve office time in prior. 
指定閱讀
  
參考書目
 ‧“Introduction to Embedded Systems, A Cyber-Physical Systems Approach” by Edward A. Lee and Sanjit A. Seshia, 2nd Edition, 2017. Its online version is freely available at http://leeseshia.org.
‧“Neuromorphic Computing and Beyond - Parallel, Approximation, Near Memory, and Quantum” by Khaled Salah Mohamed, 2020. Springer
‧“Neuromorphic Computing Principles and Organization” by Abderazek Ben Abdallah and Khanh N. Dang, 2022, Springer. 
評量方式
(僅供參考)
    
針對學生困難提供學生調整方式
  
上課形式
 以錄音輔助, 以錄影輔助
作業繳交方式
 學生與授課老師協議改以其他形式呈現
考試形式
其他
課程進度
週次
日期
單元主題
Week 1
 2023/09/06  Syllabus and Introduction for Smart Sensors
NCB: Chapter 1 
Week 2
 2023/09/13  IoT Application Requirements and Use Case: Internet of Things Systems Embedded real-time systems Smart Medical Systems 
Week 3
 2023/09/20  IoT Application Requirements and Use Case: Smart Sensing Smart Medical Systems
Homework: Survey of Smart Sensor Use Cases. 
Week 4
 2023/09/27  Group Case Study and Discussion 
Week 5
 2023/10/04  Model of Computations 
Week 6
 2023/10/11  Deep Learning and Cognitive Computing - 1
NCB: Chapter 4
[Recorded Lecture Due to Bussiness Trip] 
Week 7
 2023/10/18  Deep Learning and Cognitive Computing - 2
NCB: Chapter 4 
Week 8
 2023/10/25  Mid-Term 
Week 9
 2023/11/01  Neuromorphic Computing Systems- 1
NCP: Ch2 and 3 
Week 10
 2023/11/08  Neuromorphic Computing Systems- 2
NCP: Ch4 and 5
Homework: Survey of NCS 
Week 11
 2023/11/15  (No class due to University Anniversary) Emerging Memory Devices for Neuromorphic Systems- 1
NCB: Chapter 4 
Week 12
 2023/11/22  Emerging Memory Devices for Neuromorphic Systems- 2
NCB: Chapter 4 
Week 13
 2023/11/29  Group Case Study and Discussion on NCS
NCB: Chapter 6 
Week 14
 2023/12/06  Near-Memory/In-Memory Computing- 1
NCB: Chapter 6 
Week 15
 2023/12/13  Near-Memory/In-Memory Computing- 2
NCB: Chapter 6
Homework: Survey of CIM 
Week 16
 2023/12/20  Group Case Study and Discussion on CIM