Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2024 327485 Multimedia Technologies and Applications 1 3.0 3 ★ Yen-Lin Chen 4CSIE2
4EECS2 75 2 選修(資工二和電資二合開)

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2024	327485	Multimedia Technologies and Applications	1	3.0	3	★	Yen-Lin Chen	4CSIE2 4EECS2	75	2	選修(資工二和電資二合開)

Course Plan：

Instructor Yen-Lin Chen　Office Hours

Email ylchen@ntut.edu.tw

Last Updated 2024-05-23 11:53:57

Course Objective 本課程主要內容為：1.多媒體分析技術、2.智慧影像辨識技術、3.人工智慧辨識技術、4.互動界面技術，並整合嵌入式移動平台實務議題之專案開發。

Course Schedule Week 1-3: 智慧影像分析介紹及基礎應用(如OpenCV) Week 4-5: 機器學習相關方法介紹與實作 Week 6: 深度學習相關介紹-MLP、CNN Week 7: 深度學習相關介紹- pytorch介紹pytorch data loader操作 Week 8: 深度學習相關介紹-影像分類(MNIST和CIFAR範例) Week 9: 期中考週 Week 10: 深度學習相關介紹-物件偵測(交通號誌偵測) Week 11-12: 深度學習相關介紹-物件偵測(YOLO-based交通號誌偵測) Week 13-14: 生成式AI與互動介面實務 Week 15: 嵌入式AI移動平台應用 Week 16: 嵌入式AI移動平台實作 Week 17-18: 期末專題

Evaluation and grading policy Lab Projects & Reports & Course Participation: 60% Midterm-exam or Project: 20% Final Project: 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation 將開設本課程FB交流群組以進行線上課程諮詢交流。
Course FB：
https://www.facebook.com/groups/1884653738654889
教師信箱：ylchen@mail.ntut.edu.tw

The course corresponds to the SDGs

Does the course incorporate AI

Note
課程Teams連結：https://teams.microsoft.com/l/channel/19%3AfF0HM9aj-lsDK1Y5T0mO_a7JxH06ZpqNzqK7D2qS4fE1%40thread.tacv2/General?groupId=6702d10d-2839-41f4-b523-b7827f92ece6&tenantId=

Instructor	Yen-Lin Chen　Office Hours
Email	ylchen@ntut.edu.tw
Last Updated	2024-05-23 11:53:57
Course Objective	本課程主要內容為：1.多媒體分析技術、2.智慧影像辨識技術、3.人工智慧辨識技術、4.互動界面技術，並整合嵌入式移動平台實務議題之專案開發。
Course Schedule	Week 1-3: 智慧影像分析介紹及基礎應用(如OpenCV) Week 4-5: 機器學習相關方法介紹與實作 Week 6: 深度學習相關介紹-MLP、CNN Week 7: 深度學習相關介紹- pytorch介紹pytorch data loader操作 Week 8: 深度學習相關介紹-影像分類(MNIST和CIFAR範例) Week 9: 期中考週 Week 10: 深度學習相關介紹-物件偵測(交通號誌偵測) Week 11-12: 深度學習相關介紹-物件偵測(YOLO-based交通號誌偵測) Week 13-14: 生成式AI與互動介面實務 Week 15: 嵌入式AI移動平台應用 Week 16: 嵌入式AI移動平台實作 Week 17-18: 期末專題
Evaluation and grading policy	Lab Projects & Reports & Course Participation: 60% Midterm-exam or Project: 20% Final Project: 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	將開設本課程FB交流群組以進行線上課程諮詢交流。 Course FB： https://www.facebook.com/groups/1884653738654889 教師信箱：ylchen@mail.ntut.edu.tw
The course corresponds to the SDGs
Does the course incorporate AI
Note	課程Teams連結：https://teams.microsoft.com/l/channel/19%3AfF0HM9aj-lsDK1Y5T0mO_a7JxH06ZpqNzqK7D2qS4fE1%40thread.tacv2/General?groupId=6702d10d-2839-41f4-b523-b7827f92ece6&tenantId=