113 學年度多媒體與智慧計算學程
113 Academic year Program of Multimedia and Intelligent Computing |
一、規劃單位：資訊工程學系
I. Planning Department: Department of Computer Science and Information Engineering |
二、依重要相關事項，修滿下列科目達 21.0 學分，完成本學程
II. According to important notes, 21.0 credits will be completed in the following subjects to complete the Program. |
三、課程明細：
III. Course details: |
科目名稱
Course Title(Chinese) | 英文科目名稱
Course Title(English) | 科目代碼
Course Number | 學分
Credit | 年級
Department & Grade | 學期
Semester | 修別
Type | *先修科目或#背景科目
*Prerequisite course or #Background course | 備註
Remarks | 課群/學群
Course Group |
| 影像處理導論 | Introduction to Image Processing | CSIE30700 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | 影像處理Image Processing |
| 影像處理 | Image Processing | CSIE52100 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | 影像處理Image Processing |
| 電腦視覺 | Computer Vision | CSIE32400 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | 電腦視覺Computer Vision |
| 高等電腦視覺 | Advanced Computer Vision | CSIE54400 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | 電腦視覺Computer Vision |
| 虛擬實境導論 | Introduction to Virtual Reality | CSIE34300 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | 虛擬實境Virtual Reality |
| 虛擬實境 | Virtual Reality | CSIE56000 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | 虛擬實境Virtual Reality |
| 大數據分析導論 | Introduction to Big Data Analytics | CSIE35420 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | 大數據分析Big Data Analytics |
| 大數據分析 | Big Data Analytics | CSIE59960 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | 大數據分析Big Data Analytics |
| 數位訊號處理導論 | Introduction to Digital Signal Processing | CSIE34200 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 生物資訊學導論 | Introduction to Bioinformatics | CSIE21400 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 柔性計算導論 | Introduction to Soft Computing | CSIE34400 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | |
| 機器學習導論 | Introductory Machine Learning | CSIE35410 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | |
| 資料科學導論 | Introduction to data science | CSIE35450 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 深度學習導論 | Introductory Deep Learning | CSIE35440 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 行動裝置多媒體應用程式設計實作 | Programming Multimedia APPs for Mobile Platforms | CSIE41020 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 智慧行動應用設計 | Smart Mobile Application Design | CSIE41030 | 3.0 | 三(Junior) | 上(Fall) | 選(elective) | | | |
| 生成式AI導論 | Introduction to generative AI | CSIE35470 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 柔性計算系統實務 | Realization of Soft Computing Systems | CSIE62080 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 高等資訊檢索 | Advanced Information Retrieval | CSIE57700 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 資料探勘 | Data Mining | CSIE58600 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 機器學習 | Machine Learning | CSIE59920 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 人工智慧 | Artifical Intelligence | CSIE51600 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 深度學習基石與實務 | Foundation and Practice of Deep Learning | CSIE51200 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 高等演算法 | Advanced Algorithms | CSIE53800 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 圖型識別 | Pattern Recognition | CSIE55000 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 智慧型系統設計 | Intelligent System Design | CSIE56900 | 3.0 | 四(Senior) | 上(Fall) | 選(elective) | | 研究所課程Graduate Level | |
| 專案管理 | Project Management | CSIE59820 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 大數據系統 | Big Data Systems | CSIE59830 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 最佳化方法與應用 | Optimization methods and applications | CSIE59860 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 電腦視覺與機器學習 | Machine Learning in Computer Vision | CSIE@0080 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 推薦系統 | Recommender System | CSIE59980 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 社群網路與推薦系統 | Social Networks and recommender systems | CSIE62160 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 前瞻機器學習原理與技術 | Advanced Machine Learning Principles and Technology | CSIE62170 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 臨床醫學與智慧醫療照護 | Clinical Medicine and Smart Healthcare | CSIE@0090 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| 電腦對局理論 | Theory of Computer Games | CSIE41040 | 3.0 | 四(Senior) | 下(Spring) | 選(elective) | | 研究所課程Graduate Level | |
| IC載板製程基礎認證課程 | The basic certification course for IC substrate process | CSIE@0100 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
| 企業實習 | Field Practice | CSIE@0110 | 3.0 | 三(Junior) | 下(Spring) | 選(elective) | | | |
四、重要相關事項：
IV. Important notes:
1.可抵免課程（最多6學分），本系：其他資工選修學程科目；外系：其他資工選修學程科目、本系開設之程式設計(一)和資料結構（不包含支援外系之同名稱課程）。
2.同一課群課程，只能選擇一門計入學程學分，但皆可計入畢業學分。若選擇將研究所課程計入學程學分或畢業學分，則不得重複以該課程計入研究所畢業學分。
3.大學部同學修習本系研究所不同班制(含博、碩、碩專)課程，若與上列研究所課程同名，視為等同於該課程。
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<113 Academic Year Program of Multimedia and Intelligent Computing>
I. Planning Department
Department of Computer Science and Information Engineering
II. Graduation Requirements
According to the Important Notes, students must complete 21 credits in the courses listed below to fulfill the requirements for the Program of Multimedia and Intelligent Computing.
III. Course Details
Please refer to the Table above.
IV. Important Notes
1. Credit Transfer:
* For CSIE students: Up to 6 credits from any CSIE elective program courses can be transferred into this program.
* For non-CSIE students: Up to 6 credits from CSIE elective program courses, Introduction to Computer Programming (I), and Data Structures can be transferred into this program.
* Exception: Courses with the same names but intended for non-major students are not transferable.
2. Single Course Group Rule:
* Only one course from the same course group can be counted toward the required program credits. All credits will count toward graduation requirements.
* Graduate-level courses used for undergraduate program requirements or graduation cannot be counted again for a master’s program.
3. Graduate-Level Courses:
* For undergraduates, any graduate-level course with the same name listed in this program is considered equivalent, regardless of whether it is offered in a master’s, extensive master’s, or doctoral program. |