校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

用Python於深度學習

Lab on Python for Deep Learning

學期
112-2
學分
3 學分
當期課號
515150
永久課號
EEEC20112
開課單位
電機工程學系
授課教師
李冕
類別
選修
上課時間表
週三
5
13:20–14:10
用Python於深度學習
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

The course is conducted entirely online. The course is comprised of 6 biweekly challenges and a final project. Both the challenges and the final project are group challenges, comprised of 4 to 6 students. A complete description of the CBL framework of the class is provided here https://docs.google.com/document/d/1GA4DIyrkDZwJ0Msq9I4vGjyd3gN6DdntQ_x-L7NBimE/edit?usp=sharing This document should cover all aspects of the class organization. Class attendance is not required.

先修科目

No prerequisite courses are required to enroll in this class, making it accessible to students from various academic backgrounds. However, participants should note that this course employs a Challenge-Based Learning (CBL) framework, emphasizing practical, real-world problem-solving through group collaboration. The course's structure demands robust self-learning capabilities, effective communication, and proficient self-management from its students. These skills are essential for engaging with the group challenges effectively and leveraging the full potential of the CBL approach.

教學方式

The professor and the teaching assistant are familiar with the CBL framework and will try to help communication and cooperation in the student groups

評分方式

no homework, no midterm exam, no final exam. challenges give 60% of the final score final project gives 40% of the final score grading policy is discussed here https://docs.google.com/document/d/1GA4DIyrkDZwJ0Msq9I4vGjyd3gN6DdntQ_x-L7NBimE/edit#heading=h.s6uoqncck5wl

週次計畫
週次主題
第 1 週d
第 2 週
第 3 週
第 4 週
第 5 週
第 6 週
第 7 週
第 8 週
第 9 週
第 10 週
第 11 週
第 12 週
第 13 週
第 14 週
第 15 週
第 16 週
教科書

The class will cover the material of this class https://harvard-iacs.github.io/2021-CS109B/pages/schedule.html Students are encouraged to follow the video lectures online and the class material

Office Hours
地點
online
時間
upon request
聯絡方式
stefano.rini@nycu.edu.tw