鈦思科技
MATLAB訓練課程-鈦思科技

歡迎報名參加清大計通中心舉辦MATLAB訓練課程，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://forms.gle/7f6kuwPP9vUva5716

《上課地點》
校本部計通中心電腦教室
 《聯絡窗口》
inquiry@cc.nthu.edu.tw 校內分機31231江小姐

大數據分析

上課日期 : 2025/04/23(三)　 /　上課時間 : 13:30-16:30

課程簡介

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，並如何從如何從資料分析的結果中獲得價值。

課程大綱
  • 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

用MATLAB進行訊號處理

上課日期 : 2025/04/24(四)　 /　上課時間 : 13:30-16:30

課程簡介

本課程將探索 MATLAB 在訊號處理領域的應用，結合 MATLAB 內建工具與實作範例，幫助學員掌握訊號處理技巧，提升實務應用能力。

課程大綱
  • 訊號基本概念：離散與連續訊號、取樣、濾波等基礎知識
  • 頻域分析：傅立葉變換 (FFT)、功率頻譜密度
  • 訊號處理技術：去雜訊 (Denoising)、訊號平滑、數位濾波器設計 (FIR/IIR)

MATLAB訓練課程-鈦思科技

※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://forms.gle/7f6kuwPP9vUva5716


Big Data Analysis

Date : 2025/01/14(Wed)　 /　Time : 13:30-16:30

This course introduces how MATLAB handles and analyzes large datasets. It is mainly divided into three parts. The first part covers data import and how to efficiently manage memory usage when importing files into MATLAB. The second part introduces data preprocessing functions, including how to structure the data and appropriately handle missing values. The final part focuses on analytical models and techniques, and how to extract value from the results of data analysis.

  • 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

Signal Processing with MATLAB

Date : 2025/01/15(Thu)　 /　Time : 13:30-16:30

This course explores the applications of MATLAB in the field of signal processing. By integrating MATLAB’s built-in tools with practical examples, participants will develop essential signal processing skills and enhance their ability to apply these techniques in real-world scenarios.

  • Fundamentals of Signals: Discrete and continuous signals, sampling, filtering, and other basic concepts
  • Frequency Domain Analysis: Fourier Transform (FFT), Power spectral density
  • Signal Processing Techniques: Denoising, signal smoothing, digital filter design (FIR/IIR)