本課程是入⾨的基本概念課程，主要目的是用一個多元、多角度的觀點來介紹人工智慧的重要概念與應用，主要的課程議題包括: ⼈⼯智慧的基本概念、學習架構(機器學習與深度學習)、主要核⼼應⽤(電腦視覺與⾃然語⾔處理)、人工智慧在企業經營管理上的應⽤，在各個產業例如醫療、金融、交通上的應用，以及企業引進⼈⼯智慧的策略與關鍵成功因素。本課程並不是⼀般的技術與演算法的課程，學⽣不需要有任何程式設計的基礎，重點在應⽤與管理。This course is an introductory basic concept course. The main purpose is to introduce the important concepts and applications of artificial intelligence from a diverse and multi-angle perspective. The main course topics include: the basic concepts of artificial intelligence and learning architecture (machine learning and In-depth learning), main core applications (computer vision and natural language processing), the application of artificial intelligence in enterprise management, applications in various industries such as medicine, finance, transportation, and enterprises introduce artificial intelligence strategies and key success factors. This course is not a general course of technology and algorithms. Students do not need to have any basic programming, and the focus is on application and management.
一、教科書:
人工智慧 : 概念應用與管理 林東清 著/智勝書局/2022年.8⽉
二、參考書籍:
資訊管理:e化企業的核⼼競爭能⼒-第八版/林東清 著/智勝書局/2022年.8⽉
1. Textbook:
Artificial Intelligence: Concept Application and Management by Lin Dongqing/Zhisheng Book Bureau/2022.8008
2. Reference books:
Information Management: The Core Competitive Capabilities of E-Competition-Eighth Edition/Written by Lin Dongqing/Zhisheng Book Bureau/2022.8 Week
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 上課出席分享與討論上課出席分享與討論 Share and discuss in the previous class |
20 | 依照同學們上課的出席率、回答內容豐富與正確度給分，含各組報告 |
| 期中考期中考 Midterm exam |
40 | 課堂說明 |
| 期末考期末考 Final exam |
40 | 課堂說明 |
