| Year | Semester | Required Elective | Course ID | Course Name | Credits | Hours | Level | Note |
|---|---|---|---|---|---|---|---|---|
| 1 | 1 | ▲ | C525001 | Engineering Seminar | 1.0 | 2 | 1 / 2 | |
| 1 | 1 | ★ | 3105005 | Neural Network | 3.0 | 3 | ||
| 1 | 1 | ★ | 3105033 | Software Engineering | 3.0 | 3 | ||
| 1 | 1 | ★ | 3105034 | Database | 3.0 | 3 | ||
| 1 | 1 | ★ | 3105035 | Advance Digital Signal Processing | 3.0 | 3 | ||
| 1 | 1 | ★ | 3105058 | Expert System | 3.0 | 3 | ||
| 1 | 1 | ★ | 3105188 | Principles and Practices of Cloud Computing | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615019 | Introduction to Electro-Medical Engineering | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615026 | Applies Information Technologies to Medical Engineering | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615043 | Advanced Computer Vision | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615044 | Introduction to Cyber-Physical Systems | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615045 | Application Programming for Mobile Devices | 3.0 | 3 | ||
| 1 | 1 | ★ | 3615051 | Deep Learning | 3.0 | 3 | ||
| 1 | 1 | ★ | 3625018 | Introduction to Speech Recognition | 3.0 | 3 | ||
| 1 | 1 | ★ | 5904369 | Big Data and Artificial Intelligence Application System Design | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905101 | Design and Analysis of Computer Algorithms | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905104 | Operating Systems | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905107 | Artificial Intelligence | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905126 | Video Signal Processing | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905136 | Mobile Computing | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905154 | Intelligent Agent System | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905156 | Introduction to Information Retrieval | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905165 | Graduate On-Site Research | 3.0 | 18 | ||
| 1 | 1 | ★ | 5905166 | Cloud Information Storage and Management | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905172 | Data Visualization | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905173 | Cloud computing and application | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905183 | Cloud Platform Technologies and Applications | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905187 | Big Data Mining and Applications | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905189 | Machine Learning | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905193 | Human Information Data Mining | 3.0 | 3 | ||
| 1 | 1 | ★ | 5905194 | Social Media and Chatbot System Design | 3.0 | 3 | ||
| 1 | 1 | ★ | C715003 | AI and Robotics | 1.0 | 1 | ||
| 1 | 2 | ▲ | C525001 | Engineering Seminar | 1.0 | 2 | 2 / 2 | |
| 1 | 2 | ★ | 3105055 | Artificial Intelligence Control | 3.0 | 3 | ||
| 1 | 2 | ★ | 3105056 | Advanced and Application on DSP | 3.0 | 3 | ||
| 1 | 2 | ★ | 3105090 | Advanced Database System | 3.0 | 3 | ||
| 1 | 2 | ★ | 3105179 | Advanced Robotics and Automation Applications | 3.0 | 3 | ||
| 1 | 2 | ★ | 3105187 | Big Data Technology and Administration | 3.0 | 3 | ||
| 1 | 2 | ★ | 3615035 | Data Compression | 3.0 | 3 | ||
| 1 | 2 | ★ | 3615039 | Multimedia Service in Heterogeneous Network Environment | 3.0 | 3 | ||
| 1 | 2 | ★ | 3615047 | Internet of Things and Sensor Networks | 3.0 | 3 | ||
| 1 | 2 | ★ | 3615050 | Building Deep Learning Applications | 3.0 | 3 | ||
| 1 | 2 | ★ | 3625019 | Introduction to Speech Dialogue System | 3.0 | 3 | ||
| 1 | 2 | ★ | 3625033 | Speech Signal Processing | 3.0 | 3 | ||
| 1 | 2 | ★ | 3625042 | Theory and implementation of image and video compression | 3.0 | 3 | ||
| 1 | 2 | ★ | 3625045 | Natural language processing and affective computing | 3.0 | 3 | ||
| 1 | 2 | ★ | 3625046 | Speech Recognition and Human-Machine Interaction | 3.0 | 3 | ||
| 1 | 2 | ★ | 3635035 | Wireless Sensor Networks | 3.0 | 3 | ||
| 1 | 2 | ★ | 3645022 | Digital Image and Video Processing | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905108 | Object-Oriented Analysis and Design | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905115 | Computer Graphics | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905128 | Digital Processing of Audio Signals | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905130 | Pattern Recognition | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905141 | Computer Vision | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905148 | Software Project Management | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905164 | Embedded Multimedia System Design | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905169 | Advanced Computer Graphics | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905170 | Computer Graphics and Augmented Reality | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905190 | Embedded Computing Systems for Intelligent Image Analytics and Interactive Systems | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905191 | Principles and Applications of Data Science | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905192 | Computational Biology and Medical Informatics | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905195 | Big Data and Artificial Intelligence Application System Design | 3.0 | 3 | ||
| 1 | 2 | ★ | 5905197 | Intelligent Evolutionary Computation | 3.0 | 3 | ||
| 1 | 2 | ★ | 6505013 | Digital Image Processing | 3.0 | 3 | ||
| 2 | 1 | ▲ | C525002 | Master's Thesis | 3.0 | 3 | 1 / 2 | |
| 2 | 2 | ▲ | C525002 | Master's Thesis | 3.0 | 3 | 2 / 2 |
|
1. 最低畢業學分：32 學分。 2. 必修 8 學分：含碩士論文 6 學分，專題討論 2 學分（上下學期各 1 學分）。 3. 選修 24 學分。他院選修課程，至多承認 9 學分，另修習電資學院及創新學院各研究所課程之學分，得視同本學程所開設之專業課程。 4. 依本校「雙聯學制」辦法赴境外合作學校修習課程者，於境外合作學校修習經系所主管或系所課程委員會同意之相關科系課程，須符合協議書規定者，始得採計列為畢業學分。 5. 研究生畢業須符合校訂英語能力畢業門檻標準〈系所如另訂更高之英語能力畢業門檻標準，則須符合系所規定〉，英語能力畢業門檻相關規定請至電資學院網頁查詢。 6. 本課程科目表適用 111 學年度入學新生。 |