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course information of 107 - 1 | 0800 Data Analysis and Signal Processing(專題:資料分析與訊號處理)

0800 - 專題:資料分析與訊號處理 Data Analysis and Signal Processing


教育目標 Course Target

本課程目的在於藉由軟體的操作,學生學習如何進行數據分析、科學計算與訊號處理。課程分成三個部分來執行: 第一部份是數據分析,由段老師授課。主要軟體是微軟的Excel,學習如何進行數據分析,進而以三個個案研究,透過Excel來熟習與實踐數據分析的過程,以及分析結果的判讀。 第二部份是運用Matlab進行科學計算,由胡老師授課。Matlab是語法簡單、效率高、使用者介面友善的軟體,非常適合作應用在流體力學、固體力學、天體力學等物理科學領域的數值計算、資料分析以及數據呈現,作為後續分析與應用的基礎。 第三部份是訊號處理,由黃老師授課。數據或稱訊號,因為定義域的不同而分成連續與離散兩類。訊號處理就是透過變換的技巧,將訊號從時域轉換到頻域,找出訊號的特性與關連性,以便將進行雜訊去除或是訊號過濾,得到有用的訊號。Matlab是主要的工具,用以實現上述的變換、雜訊去除與過濾,甚至進行訊號壓縮、水印嵌入等應用。The purpose of this course is to learn how to perform data analysis, scientific calculations and signal processing through software operations. The course is divided into three parts to execute: The first part is data analysis, taught by Teacher Duan. The main software is microsoft Excel, which learns how to conduct data analysis, and then uses three case studies to familiarize yourself with the process of data analysis through Excel, as well as the judgment of analysis results. The second part is to use Matlab for scientific calculations, which are taught by Teacher Hu. Matlab is a software with simple syntax, high efficiency and user-friendly interface. It is very suitable for numerical calculation, data analysis and data presentation in physical science fields such as fluidity, solidity, and astrophysics. It serves as the basis for continuous analysis and application. The third part is the processing of the signal, which is taught by Teacher Huang. Data or a name number are divided into two categories: continuous and dispersed due to the different domains of definition. Number processing is to convert signals from time domain to domain through transformation techniques, find out the characteristics and correlation of signals, so that messages can be removed or filtered to obtain useful signals. Matlab is the main tool for implementing the above-mentioned transformation, information removal and filtering, and even for signal compression, watermark embedding and other applications.


參考書目 Reference Books

自行編寫課程講義(Lecture Notes)
Lecture Notes


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
Home Work, Quiz and出席 Home Work, Quiz and出席
Home Work, Quiz and attend
55 每個階段會有Quiz
ProjectsProjects
Projects
45 期末報告

授課大綱 Course Plan

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Course Information

Description

學分 Credit:3-0
上課時間 Course Time:Tuesday/2,Wednesday/8,9[ST527]
授課教師 Teacher:黃皇男/胡馨云
修課班級 Class:應數系3,4
選課備註 Memo:
授課大綱 Course Plan: Open

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