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course information of 106 - 1 | 6141 (資通訊技術發展趨勢與應用)

Taught In English6141 - 資通訊技術發展趨勢與應用


教育目標 Course Target

本課程介紹新最資通訊技術發展之現況與及其應用。透過過去、現在的發展,包含資訊處理的改進,與互聯網帶來的影響,透過主題式的說明,與同學們共同探討如雲端計算、物聯網、大數據、人工智慧、互聯網金融、虛擬實境、擴增實境的發展與應用。 此外,針對企業與商業大數據資料分析與資料探勘實務- 今天的世界是基於知識的運用。 最早的時候通過觀察收集知識。今天,通過對通過各種計算機應用程式,網站等進行累積的數據進行分析或深入分析,收集和應用知識。此次課程藉由大數據資料分析與資料探勘實務,將企業與商業的資料加以整理分析,進而使用相關大數據資料探勘方式協助企業發覺資料的內涵與應用。This course introduces the current situation and its application of the new and most informative communication technology. Through past and current developments, we include the improvement in information processing, the impact brought by the Internet, and through topical explanations, we will discuss with classmates the development and applications such as cloud computing, Internet of Things, large data, artificial intelligence, Internet finance, virtual reality, and expanded reality. In addition, for enterprise and business large data analysis and data exploration practice - today's world is based on knowledge. At the earliest times, knowledge was collected through observation. Today, we collect and apply knowledge by analyzing or in-depth analysis of accumulated data through various computer applications, websites, etc. This course uses large-data data analysis and data exploration practice to organize and analyze the enterprise and business data, and then uses relevant large-data data exploration methods to help enterprises develop the connotation and application of data.


參考書目 Reference Books

一部份為教師主行準備的資料,一部份參考書籍。
企業與商業大數據資料分析實務 參考書籍(不一定要買)
1. Business Analytics Using R - A Practical Approach 作者: Dr. Umesh R. Hodeghatta 2017 出版商: Apress
2. Big Data MBA - Driving Business Strategies with Data Science
By Bill Schmarzo
Publisher: Wiley
Final Release Date: December 2015
Some are the materials prepared by the teacher and some are reference books.
Enterprise and business large data analysis practice Reference books (not necessarily to buy)
1. Business Analytics Using R - A Practical Approach Author: Dr. Umesh R. Hodeghatta 2017 Publisher: Apress
2. Big Data MBA - Driving Business Strategies with Data Science
By Bill Schmarzo
Publisher: Wiley
Final Release Date: December 2015


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Monday/11,12,13[M023]
授課教師 Teacher:林正偉/姜自強
修課班級 Class:高階經管班1,2
選課備註 Memo:CEO組、週間組、財金組優先選課
This Course is taught In English 授課大綱 Course Plan: Open

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