※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/hb4HYi7Vi1TSoez2A
MATLAB Basic
Date : 2026/08/24(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 : 2026/08/25(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 Basic
Date : 2026/08/26(Wed) / 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
- Modeling Continuous and Hybrid Systems
Big Data Analysis
Date : 2026/08/27(Thu) / 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
