人工智慧與大數據是驅動各行各業智慧應用的核心技術，然而，人工智慧與大數據不僅包含IT技術，亦融合統計學，更可說是數據科學。本課程主要目的在於讓學生能理解人工智慧與大數據在IT技術上的基礎概念以及預測分析、人工智慧上的基礎演算方法與實作範例。更重要的是，協助學生從應用情境、商業分析的角度，往下思考可能的人工智慧與大數據 數據分析問題與發展預測分析、人工智慧問題解決方法，諸如：聚類、分類、相似、異常、關聯、關係、鏈結、認知等以及合適的IT架構。Artificial intelligence and large data are the core technologies that drive the application of smart technologies in various industries. However, artificial intelligence and large data not only include IT technology, but also integrate into statistical engineering, but also data science. The main purpose of this course is to enable students to understand the basic concepts of artificial intelligence and large data in IT technology, as well as prediction and analysis, basic calculation methods and practical examples of artificial intelligence. More importantly, it helps students think about possible artificial intelligence and large data analysis problems and development forecast analysis, and artificial intelligence problem solving methods from the perspective of application situation and business analysis, such as: clustering, classification, similarity, abnormality , connection, relationship, link, recognition, etc. and a suitable IT structure.
講義
Talk about
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
30 | |
| 期末考期末考 Final exam |
30 | |
| 作業與討論點名作業與討論點名 Business and discussion point names |
40 |
