100學年第一學期
計算機電腦網路
由上而下了解網路的分層協定結構與電腦網路的運作方式。連結
影像處理與實習
介紹結合數位影像處理理論與應用的技術。連結
當代行動通訊導論
介紹當代行動通信系統的基本原理與架構,並透過Matlab實作。連結
隨機訊號處理
介紹隨機程序的概念及其在信號處理上的相關應用。連結




100學年第二學期
JAVA程式設計
讓學生學習使用JAVA之指令、語法來開發應用程式。連結
數位信號處理
利用生活中數位訊號產品與 MATLAB 實驗藉由數位信號處理理論之介紹,MATLAB程式分析技巧之演練,交互印證數位訊號處理的理論。連結
多媒體通訊系統
專注於多媒體通訊的三大研究領域:各種媒體的、壓縮、表示法的配合、以及系統通整合。連結
數位信號處理暨實習
利用生活中數位訊號產品與 MATLAB 實驗藉由數位信號處理理論之介紹。連結




101學年第一學期
影像處理
學習二維數位影像之原理及基本處理技術 。連結
電子學(一)
1.讓學生瞭解半導體元件和常用積體電路特性。 2.讓學生發展類比和數位電路之分析和設計技巧。 3.讓學生熟悉在工業設計程序中各種不同的問題。連結
計算機網路
由上而下了解網路的分層協定結構與電腦網路的運作方式。連結
影像處理暨實習
學習二維數位影像之原理及基本處理技術。連結




101學年第二學期
電子學(二)
1.讓學生瞭解半導體元件和常用積體電路特性。 2.讓學生發展類比和數位電路之分析和設計技巧。 3.讓學生熟悉在工業設計程序中各種不同的問題。連結
電腦視覺暨實習
學習電腦影像處理原理及視覺技術應用。連結
JAVA程式設計
讓學生學習使用JAVA之指令、語法來開發應用程式。連結
多媒體通訊系統
本課程旨在帶領同學進入多媒體通訊的三大研究領域:各種媒體的、壓縮、表示法的配合、以及系統通整合。在學習完本課程後,學生不僅可以對多媒體通訊的理論有充分、完整的了解,更可以了解到產業界對於多媒體通訊設備的設計之實際考量。。連結




102學年第一學期
隨機程序
介紹隨機程序的概念及其在信號處理上的相關應用。連結
電子學(一)
1.讓學生瞭解半導體元件和常用積體電路特性。 2.讓學生發展類比和數位電路之分析和設計技巧。 3.讓學生熟悉在工業設計程序中各種不同的問題。 連結
多媒體通訊系統
本課程旨在帶領同學進入多媒體通訊的三大研究領域:各種媒體的、壓縮、表示法的配合、以及系統通整合。在學習完本課程後,學生不僅可以對多媒體通訊的理論有充分、完整的了解,更可以了解到產業界對於多媒體通訊設備的設計之實際考量。連結
專題研討(一)
本課程以分組方式進行,訓練及提昇學生在電機專業領域上之研究製作、分析整合、團隊合作、問題解決等能力。連結




102學年第二學期
機器學習 Machine Learning
In this course, we will detail the core techniques in Machine learning, including regression methods, classification methods, clustering methods, dimensionality reduction, and some modern applications. Through our course design, we will bring students to understand and implement some useful algorithms step by step. After the course, we hope students could have the overview of machine learning application and Link




103學年第一學期
計算機概論 Introduction to Computers
課程概述與目標:本課程介紹電腦系統運作的基礎原理,以及軟硬體架構。同時為使得學生更深入熟悉電腦的運作,本課程後半部將以程式設計基礎來讓學生實際操作電腦,並藉由 C 語言的程式寫作來熟練電腦的使用。連結




103學年第二學期
數位訊號處理 Digital Signal Processing
介紹離散時間訊號與系統,離散時間傅利葉轉換,離散時間傅利葉系統分析,Z轉換,濾波器設計在多媒體的應用與研究。
In this course we will cover the following topics:
(1)Discrete-time signal and system
(2)Discrete-time Fourier Transform
(3)The analysis and application of Discrete-time Fourier Transform
(4)Z transform and its application to Discrete-time system
(5)Filter design and some application on multimedia




104學年第一學期
計算機概論 Introduction to Computers
課程概述與目標:本課程介紹電腦系統運作的基礎原理,以及軟硬體架構。同時為使得學生更深入熟悉電腦的運作,本課程後半部將以程式設計基礎來讓學生實際操作電腦,並藉由 C 語言的程式寫作來熟練電腦的使用。連結
影像處理導論 Introduction to Image Processing
In this course, we will detail the fundamental techniques in image processing, including Image Display, Point Processing, Neighborhood Processing, Image Geometry, Image Restoration, and Image Segmentation. Through our course design, we will bring students to understand some useful image processing algorithms step by step. After the course, we hope students have an overview of image processing and have the ability to build some systems by using Matlab. 連結




104學年第二學期
數位訊號處理 Digital Signal Processing
介紹離散時間訊號與系統,離散時間傅利葉轉換,離散時間傅利葉系統分析,Z轉換,濾波器設計在多媒體的應用與研究。
In this course we will cover the following topics:
(1)Discrete-time signal and system
(2)Discrete-time Fourier Transform
(3)The analysis and application of Discrete-time Fourier Transform
(4)Z transform and its application to Discrete-time system
(5)Filter design and some application on multimedia. 連結
機器學習 Machine Learning
In this course, we will detail the core techniques in Machine learning, including regression methods, classification methods, clustering methods, dimensionality reduction, and some modern applications. Through our course design, we will bring students to understand and implement some useful algorithms step by step. After the course, we hope students could have the overview of machine learning application and have the ability to apply the techniques to their own works. 連結




105學年第一學期
計算機概論 Introduction to Computers
課程概述與目標:本課程介紹電腦系統運作的基礎原理,以及軟硬體架構。同時為使得學生更深入熟悉電腦的運作,本課程後半部將以程式設計基礎來讓學生實際操作電腦,並藉由 C 語言的程式寫作來熟練電腦的使用。連結
影像處理導論 Introduction to Image Processing
In this course, we will detail the fundamental techniques in image processing, including Image Display, Point Processing, Neighborhood Processing, Image Geometry, Image Restoration, and Image Segmentation. Through our course design, we will bring students to understand some useful image processing algorithms step by step. After the course, we hope students have an overview of image processing and have the ability to build some systems by using Matlab. 連結




105學年第二學期
機器學習 Machine Learning
In this course, we will detail the core techniques in Machine learning, including regression methods, classification methods, clustering methods, dimensionality reduction, and some modern applications. Through our course design, we will bring students to understand and implement some useful algorithms step by step. After the course, we hope students could have the overview of machine learning application and have the ability to apply the techniques to their own works. 連結




106學年第一學期
計算機概論 Introduction to Computers
課程概述與目標:本課程介紹電腦系統運作的基礎原理,以及軟硬體架構。同時為使得學生更深入熟悉電腦的運作,本課程後半部將以程式設計基礎來讓學生實際操作電腦,並藉由 C 語言的程式寫作來熟練電腦的使用。連結
影像處理導論 Introduction to Image Processing
In this course, we will detail the fundamental techniques in image processing, including Image Display, Point Processing, Neighborhood Processing, Image Geometry, Image Restoration, and Image Segmentation. Through our course design, we will bring students to understand some useful image processing algorithms step by step. After the course, we hope students have an overview of image processing and have the ability to build some systems by using Matlab. 連結




106學年第二學期
機器學習 Machine Learning
In this course, we will detail the core techniques in Machine learning, including regression methods, classification methods, clustering methods, dimensionality reduction, and some modern applications. Through our course design, we will bring students to understand and implement some useful algorithms step by step. After the course, we hope students could have the overview of machine learning application and have the ability to apply the techniques to their own works. 連結
數位訊號處理 Digital Signal Processing
介紹離散時間訊號與系統,離散時間傅利葉轉換,離散時間傅利葉系統分析,Z轉換,濾波器設計在多媒體的應用與研究。
In this course we will cover the following topics:
(1)Discrete-time signal and system
(2)Discrete-time Fourier Transform
(3)The analysis and application of Discrete-time Fourier Transform
(4)Z transform and its application to Discrete-time system
(5)Filter design and some application on multimedia. 連結




107學年第一學期
計算機概論 Introduction to Computers
課程概述與目標:本課程介紹電腦系統運作的基礎原理,以及軟硬體架構。同時為使得學生更深入熟悉電腦的運作,本課程後半部將以程式設計基礎來讓學生實際操作電腦,並藉由 C 語言的程式寫作來熟練電腦的使用。連結
影像處理導論 Introduction to Image Processing
In this course, we will detail the fundamental techniques in image processing, including Image Display, Point Processing, Neighborhood Processing, Image Geometry, Image Restoration, and Image Segmentation. Through our course design, we will bring students to understand some useful image processing algorithms step by step. After the course, we hope students have an overview of image processing and have the ability to build some systems by using Matlab. 連結




107學年第二學期
機器學習 Machine Learning
In this course, we will detail the core techniques in Machine learning, including regression methods, classification methods, clustering methods, dimensionality reduction, and some modern applications. Through our course design, we will bring students to understand and implement some useful algorithms step by step. After the course, we hope students could have the overview of machine learning application and have the ability to apply the techniques to their own works. 連結
數位訊號處理 Digital Signal Processing
介紹離散時間訊號與系統,離散時間傅利葉轉換,離散時間傅利葉系統分析,Z轉換,濾波器設計在多媒體的應用與研究。
In this course we will cover the following topics:
(1)Discrete-time signal and system
(2)Discrete-time Fourier Transform
(3)The analysis and application of Discrete-time Fourier Transform
(4)Z transform and its application to Discrete-time system
(5)Filter design and some application on multimedia. 連結




108學年第一學期
機器學習之訊號處理應用 Machine Learning for Signal Processing
In this course, we would discuss the connection between signal processing and machine learning. Specifically, we would focus on applying machine learning methods for signal processing. Note that signals can be many kinds, such as wireless signals, sensor signals, images, videos, speeches. The major tasks of signal processing are to discuss the ways for extracting useful/meaningful information from signals for practical engineering problems. There are two main aspects of processing. One is the signal representation, modeling, and characterization; the other is signal categorization, estimation, and prediction. 連結




108學年第二學期
訊號與系統 Signals and Systems
In this course, we would discuss the fundamental of signals and systems. We would also illustrate the computational methods for processing continuous-time/discrete-time signals. From time and frequency domains, in this class, we would introduce the representation of signals and analyze the functionality of systems. Key concepts and analysis theories would be covered including time-domain signal representation, time-domain system analysis, frequency-domain signal representation, frequency-domain system analysis, sampled continuous-time Signals, linear time-invariant systems, impulse response, frequency response, convolution, filtering, and Fourier transform. This course is also the entry to higher-level courses like image processing, communications, robot control, and machine learning. 連結




109學年第一學期
計算機概論與程式設計 Introduction to Computers and Programming
In this course, we would introduce the fundamental of programming using C language. The programming concepts and skills would be introduced through lectures and programming exercises. This course is also the entry to higher-level programming courses like data structure, computer architecture, and software engineering. 連結




109學年第二學期
機器學習之訊號處理應用 Machine Learning for Signal Processing
In this course, we would discuss the connection between signal processing and machine learning. Specifically, we would focus on applying machine learning methods for signal processing. Note that signals can be many kinds, such as wireless signals, sensor signals, images, videos, speeches. The major tasks of signal processing are to discuss the ways for extracting useful/meaningful information from signals for practical engineering problems. There are two main aspects of processing. One is the signal representation, modeling, and characterization; the other is signal categorization, estimation, and prediction. 連結




110學年第一學期
計算機概論與程式設計 Introduction to Computers and Programming
In this course, we would introduce the fundamental of programming using C language. The programming concepts and skills would be introduced through lectures and programming exercises. This course is also the entry to higher-level programming courses like data structure, computer architecture, and software engineering. 連結