歡迎報名參加清大計通中心舉辦之110年度寒假MATLAB系列課程，請選擇最適合您的內容報名參加。

報名前請確認可全程參與較佳，報名請至https://reurl.cc/8W3zE7

MATLAB於影像處理的應用

在這堂體驗課程中，您將學習如何使用MATLAB與影像處理工具箱，用於快速實現影像處理演算法，包括圖像內容增強，對準和分割。將向您示範如何直接從硬體擷取影像於MATLAB開發環境中進行即時影像處理 。

• Why should you use MATLAB for Image Processing?
• Images in MATLAB
• Image Enhancement
• Image Registration
• Image Analysis
• Image Segmentation

MATLAB 於訊號處理的應用

介紹MATLAB於訊號處理的應用，包含訊號產生、分析以及處理，以及介紹時域訊號與頻域訊號，設計線性系統與濾波器的指令功能介紹，最後是介紹如何用圖形化介面快速分析訊號。

• 訊號產生與視覺化
• 頻譜分析
• 線性非時變系統
• 設計非時變濾波器
• 訊號分析圖形化介面程式

如何使用MATLAB進行大數據分析

本課程介紹MATLAB如何面對大量資料的處理與分析，主要可分為三個部分，第一部分介紹資料的匯入，以及MATLAB匯入檔案時，如何有效率的使用記憶體；第二部分將介紹資料前處理的相關功能，如何將資料結構化，並合理的補齊缺漏值，最後一部分將介紹分析的模型與手法，並如何從資料分析的結果中獲得價值。

• Big Data Capability in MATLAB
• Big data in industry
• New Big Data Capabilities in MATLAB
• Access Big Data
• Datastore
• Exercise1 : 'datastore'
• Tall arrays
• Working with tall arrays
• Exercise2 : tall array
• Functions support tall
• Conclusion and Other Materials

※Please note: This workshop will be conducted in Mandarin※

Join us for MATLAB Training Courses, please refer to following section for more workshop details.

《Venue》CCC – Computer Laboratory Any inquiries,
please mail to the following address: inquiry@cc.nthu.edu.tw or call Miss Chiang at campus ext.31231

Focus on software fundamental skills, perfect for beginner and any faculty.

Registration : https://reurl.cc/8W3zE7

MATLAB for Image Processing

In this course, you will learn how to use MATLAB and Image Processing Toolbox, quicky image processing algorithms, including image enhancement, alignment, and segmentation. Showing you how to capture images directly from the hardware in MATLAB development environment for instant image processing.

MATLAB for Signal Processing

This course provides functions and apps to analyze, preprocess, and extract features from uniformly and nonuniformly sampled signals. Signal Processing Toolbox includes tools for filter design and analysis, resampling, smoothing, detrending, and power spectrum estimation. With the Signal Analyzer app you can preprocess and analyze multiple signals simultaneously in time, frequency, and time-frequency domains without writing code.

Big Data Analytics with MATLAB

MATLAB provides a single, high-performance environment for working with big data. In this course, we will use MATLAB datastores to access data that normally does not fit into the memory of a single computer.

To analyze data, tall array allow you to apply statistics, machine learning, and visualization tools to data that does not fit in memory.