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前瞻智慧聯網

112-2 開課

  • 流水號

    64462

  • 課號

    Data5013

  • 課程識別碼

    946 U0130

  • 無分班

  • 3 學分

  • 選修

    資料科學碩士學位學程 / 智慧聯網國際研究生博士學位學程

      選修

    • 資料科學碩士學位學程

    • 智慧聯網國際研究生博士學位學程

  • 王志宇
  • 二 6, 7, 8

  • 新503

  • 2 類

  • 修課總人數 20 人

    本校 20 人

  • 無領域專長

  • 英文授課
  • NTU COOL
  • 核心能力與課程規劃關聯圖
  • 備註
    本課程以英語授課。本課程調整部分週次上課時間，請以課程公告為主。
  • 修課限制

    • 限碩士班以上

  • 本校選課狀況

    已選上
    0/20
    外系已選上
    0/0
    剩餘名額
    0
    已登記
    0
  • 課程概述
    This course aims to serve as a guide to the frontier of Artificial Intelligence of Things (AIoT) research, development, and implementation. The course will cover four major areas of AIoT: Internet of Things, Embedded System, Artificial Intelligence, and Multimodal in a systematic way. For each area, we will invite the related professors/researchers to introduce the frontier of the area, including but not limited to the latest research, developments, and future trend. Students will be able to absorb new knowledge, exchange ideas, practice research skills, and do research works with professors/researchers on advanced topics.
  • 課程目標
    The structure of the course is designed to help the students begin their AIoT research with the support of the course resources and instructors. The course will be delivered through a series of lectures which are categorized into areas. For each area, each student should complete the area assignment, which will guard them to explore the topics covered in the lectures.
  • 課程要求
    (Recommended) Prerequisite courses: Introduction of Artificial Intelligence of Things and its Applications
  • 預期每週課前或/與課後學習時數
  • Office Hour
  • 指定閱讀
    There is no official course textbook. Instead, each instructor will provide a list of reading materials (such as journal articles, conference papers, or selected chapters from an assigned textbook) before the lecture. Students are strongly recommended to read the assigned materials before the lecture to have a more meaningful and interactive learning experience.
  • 參考書目
    ● BALAS, Valentina E., et al. (ed.). Recent trends and advances in artificial intelligence and internet of things. Cham: Springer International Publishing, 2020. ● FORTINO, Giancarlo; TRUNFIO, Paolo (ed.). Internet of things based on smart objects: Technology, middleware and applications. Springer Science & Business Media, 2014. ● MANGLA, Monika, et al. (ed.). Real-life applications of the Internet of Things: challenges, applications, and Advances. 2022.
  • 評量方式
    90%

    Class participation / Assignments

    Class participation includes attendance, participation in (onsite/online) discussions, and group activities. The area assignments could be a survey, a personal project, a take-home exam, or others. The exact form will be determined by the instructors. Grading of the assignments will be based on the completeness of the assignment goal.

    10%

    Team project

    The team project will be treated as independent graduated-level research work as a practice for the students to gain research experience. Each team will be required to present the achievements of their project at the end of the semester and deliver the final report. Grading of the project will be based on the quality, originality and creativity of the work, as well as the clarity and professionalism of the presentation and the report. Plagiarism will result in a failing grade for the assignment and may result in further disciplinary action.

  • 針對學生困難提供學生調整方式
  • 補課資訊
  • 課程進度
    2/20第 1 週Course Introduction | Prof. Chih-Yu Wang
    2/27第 2 週Rescheduled to 2/29(Thur.) 09:10-12:20 新502 Visible Light Communications and Positioning | Prof. Hsin-Mu Tsai
    3/05第 3 週Brain-Computer Interface and its applications | Prof. Yu-Te Wang
    3/12第 4 週Pragmatic Natural Language Processing | Prof. Hen-Hsen Huang
    3/19第 5 週TBD | Prof. Jun-Cheng Chen
    3/26第 6 週Rescheduled to 3/27 (Wed.) 14:20-17:20 新503 Smart Healthcare: How can AI Revolutionize the Healthcare Ecosystem | Prof. Che Lin
    4/02第 7 週Large Language Model | Prof. Lun-Wei Ku
    4/09第 8 週Utilizing Deep Learning for Speech Enhancement in Assistive Oral Communication Technologies | Prof. Yu Tsao
    4/16第 9 週Retrieval Augmented Generation: The Retriever | Chih-Ming Chen (Postdoc)
    4/23第 10 週TBD | Prof. Ti-Rong Wu
    4/30第 11 週Introduction to Foundation Model | Prof. Hung-Yi Lee
    5/07第 12 週Some Basics in Streaming Model | Prof. Meng-Tsung Tsai
    5/14第 13 週Memory-Centric Computing | Prof. Hsiang-Yun Cheng
    5/21第 14 週SIoT with MR | Prof. De-Nian Yang
    5/28第 15 週TBD | Prof. Jen-Chun Lin
    6/4第 16 週Project Presentation | Prof. Chih-Yu Wang