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/CUCJ8NYtQ4mSt95V9

《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

MATLAB基礎程式設計

Date : 2025/08/18(一)　 /　Time : 13:30-16:30

此課程專門為 MATLAB 初學者設計，希望藉此幫助使用者充分地了解 MATLAB 程式語言，全程實機操作。課程開始將簡介 MATLAB 操作環境、程式語法、支援的資料型態及使用方式等，並舉例說明常用的資料 I/O 指令使用方式讓初學者熟悉 MATLAB。 接下來說明 MATLAB 常用的繪圖指令及其功能，程式邏輯法則，運算的方式等，讓初學者能更了解 MATLAB 的使用，並協助使用者學會如何使用建立自己的演算法函式於 MATLAB 中並呼叫引用。

  • MATLAB操作介面介紹
  • MATLAB繪圖工具之使用說明
  • MATLAB各類變數型態之介紹與說明
  • MATLAB之程式設計流程簡介

MATLAB進階程式設計

Date : 2025/08/19(二)　 /　Time : 13:30-16:30

此系列課程為 MATLAB 進階使用者而設計，一開始先介紹如何增進 MATLAB 程式碼的執行效能，接著完整地介紹與 Function 相關的操作方法與使用時機，以及如何撰寫含有防呆機制的程式。

  • 如何產生及呼叫MATLAB Function.
  • 如何建構MATLAB Function Code，介紹各種不同類型的Function Type.
  • 如何撰寫含有防呆機制的程式.
  • 如何針對程式碼進行除錯及如何提升程式碼的執行效率

Simulink

Date : 2025/08/21(四)　 /　Time : 13:30-16:30

本課程為 Simulink 入門，將從 Simulink 的操作環境、基本架構、函式庫功能介紹開始。接著說明如何建立 Simulink 模型以及子系統，利用子系統將模組以階層式結構呈現，並將自訂的子系統設定為可重複使用的 function library。課堂中，您還會學習如何將 Simulink 與MATLAB 的功能做結合，發揮系統模擬的最大功效。課堂最後將介紹 Simulink 的重要程式設計技巧，並教您如何利用其除錯功能減少錯誤發生。

  • Introduction
  • Building the Model
  • Creating A Simple Model
  • Masking Subsystem
  • Working with Subsystems
  • Working with MATLAB
  • Modeling Discrete Systems
  • odeling Continuous and Hybrid Systems

統計與機器學習

Date : 2025/08/22(五)　 /　Time : 13:30-16:30

本課程介紹MATLAB於資料分析的相關功能，主要目的為闡述如何使用MATLAB補強Excel的不足之處。在課程中將會說明如何使用MATLAB匯入Excel的資料、視覺化分析以及客製化圖形、進行統計分析與數學模型的配適，最後介紹如何快速上手機器學習的應用。

  • Import Data to MATLAB
  • Data Types
  • Data pre-processing
  • Basic Data analysis
  • Fit data to models

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/CUCJ8NYtQ4mSt95V9


MATLAB Basic

Date : 2025/08/18(Mon)　 /　Time : 13:30-16:30

This course is for the beginners of MATLAB. Let the learner be familiar with MATLAB user interface and basic commands through the lecturer’s instruction together with the operation practice. After experiencing this course the learner will know how to call functions,plot and program with MATLAB.

  • Working with the MATLAB User Interface
  • MATLAB plot tool
  • Variables and Expressions
  • Automating Commands with Scripts

MATLAB Advance

Date : 2025/08/19(Tue)　 /　Time : 13:30-16:30

This course is for people who are already familiar with MATLAB basic operation.The content of this course is the detail and complete introduction for MATLAB function M file.After experiencing this course the learner will know how to write functions and then create robust applications, troubleshoot and improve performance.

  • Writing Functions
  • Structuring Code
  • Creating Robust Applications
  • Troubleshooting Code and Improving Performance

Simulink

Date : 2025/08/21(Thu)　 /　Time : 13:30-16:30

This course is an introduction to Simulink, starting with the introduction of Simulink's operating environment, basic architecture, and library functions. Then explain how to create Simulink models and subsystems, use subsystems to present modules in a hierarchical structure, and set custom subsystems as reusable function libraries. In this course, you’ll also learn how to combine the functions of Simulink and MATLAB to maximize the effectiveness of system simulation. The class concludes by introducing important programming techniques in Simulink and teaching you how to use debugging function to find the bug of your design algorithm.

  • Introduction
  • Building the Model
  • Creating A Simple Model
  • Masking Subsystem
  • Working with Subsystems
  • Working with MATLAB
  • Modeling Discrete Systems
  • odeling Continuous and Hybrid Systems

Statistics and Machine Learning

Date : 2025/08/22(Fri)　 /　Time : 13:30-16:30

This course introduces the use of MATLAB for data analysis, highlighting how it enhances and complements the limitations of Excel. Students will learn how to import data from Excel into MATLAB, perform data visualization and formatting, and apply statistical analysis techniques and model fitting. The course concludes with an introduction to practical applications of machine learning, equipping students with the skills to efficiently apply these tools in real-world scenarios.

  • Import Data to MATLAB
  • Data Types
  • Data pre-processing
  • Basic Data analysis
  • Fit data to models