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每位攻讀碩士學位的學生必須修讀並通過課程的8門科目（24學分），包括一門必修的畢業論文#。在課程主任的批准下，學生最多可以從工程學院其他碩士學位課程中選擇兩門科目。全日制學生可以參加電子工程學系提供的其他研究生課程。特殊情況下，經過課程主任和研究院院長批准，學生最多可以申請免除2門科目（6學分）。但無論如何，至少有6門科目（18學分）必須來自ELEG5xxx的科目。
下表列出了電子工程學理學碩士的課程。每年大約提供8個科目，最新的教學時間表可以在研究院網頁上找到。((http://www.gs.cuhk.edu.hk/page/TeachingTimetable)
| 科目編號 | 科目名稱 |
| ELEG5723 | CMOS模擬集成電路設計 |
| ELEG5726 | 電源管理集成電路 |
| ELEG5731 | 無線通信系統 |
| ELEG5732 | 射頻電路與系統 |
| ELEG5741 | 語音信號的數字處理 |
| ELEG5743 | 通信系統高級信號處理 |
| ELEG5753 | 太陽能電池與相關低碳技術 |
| ELEG5755 | 光通信與互連 |
| ELEG5757 | 智能穿戴式電子學 |
| ELEG5758 | VLSI 數字信號處理 |
| ELEG5759 | 創新,科技與工程管理 |
| ELEG5760 | 面向多媒體應用的機器學習 |
| ELEG5761 | 電能轉換器及其電網的應用 |
| ELEG5762 | 類腦計算硬件設計 |
| ELEG5763 | 依據RISC-V 學習處理器設計 |
| ELEG5764 | 人工智能芯片設計 |
| ELEG5765 | 汽車芯片導論 |
| ELEG5766 | 基於人工智慧的醫療圖像分析 |
| ELEG5802 | 研究與開發項目# |
| ELEG5902 | 電子工程學實習# |
＃必修科目（適用於2024-25及以後入學的學生）
Students, subject to approval, can also elect the following graduate-level lecture courses primarily for research students:
| ELEG5280 | Analog-Digital ASIC Design |
| ELEG5301 | Photonic Integrated Circuits |
| ELEG5491 | Introduction to Deep Learning |
| ELEG5600 | Advanced Perception for Intelligent Robotics |
For more graduate courses, please refer here
or courses from other M.Sc. Programmes within the Faculty of Engineering:
| IEMS5710 | Cryptography, Information Security and Privacy |
| MAEG5755 | Robotics |
- A student must take and pass 8 courses including a required course# in this programme with a GPA of 2.0 or above to graduate.
- A student will be discontinued from study if the student has a GPA below 1.0 or fails to have probation lifted after being put on academic probation for two consecutive terms of attendance (probation threshold . below 2.0).
- The length of study is usually 1 academic year in full-time mode and 2 academic years in part-time mode. Each year has 2 terms.
- Each course usually consists of 36 lecture hours and 6 hours of tutorials/hand-on training over a period of 14 weeks.
- Subject to the approval of the Programme Directors concerned, students can take at most two courses from other M.Sc. Programmes within the Faculty of Engineering.
- Full-time mode students are allowed to take other day time postgraduate courses offered by the Department of Electronic Engineering.
- Students may apply for course and unit exemption for a maximum of 2 courses (6 units) subject to the approval of the Programme Director and the Dean of the Graduate School on a case-by-case basis, taking into account individual circumstances.
Award of Degree
Graduates will receive a Master of Science Degree in Electronic Engineering from The Chinese University of Hong Kong if satisfy the credit unit and GPA requirement.
#Applicable to students admitted in 2024-25 and thereafter
Emphases
Continuous professional development is essential to electronic engineers to open new doors and to excel at work. This is what we want to offer in our Master's Degree programme. Success means not only to drive your career forward, but as proven by our Founding Chairman, Professor Charles Kao, to win world accolade as a Nobel Laureate.
Today's electronic engineers face many new challenges. Many new applications require multi-disciplinary skill. More than just conventional electronics, one needs to understand optics, solar technology and nano devices etc. There is a paradigm shift in design considerations. Cost effectiveness and high performance are no longer the only concerns. Engineers are asked to grasp issues like green regulations and carbon emission factor, etc. Added to all this, there is a trend of moving from electrons to photons in order to maintain the accelerating speed in computing and communication. This is why we are offering a programme which is wide in coverage and allows students to choose freely according to their aspirations and interests.
Students will engage with our research laboratories, working with research postgraduate students on a specific engineering project under supervision of a faculty member.
Advanced Technology Courses
The programme includes advanced subjects in areas of technology and management in modern engineering, artificial intelligence, big data analytics, future IOT applications, renewable energy, smart materials, solid-state devices, photonics, spoken language and video technology and VLSI:
| ELEG5726 | Power Management Technology |
| This course is designed for students to gain an understanding of technological development of power-management IC design. Through this course, students will learn the essentials of voltage-regulator design. Recent advances in selected topics will also be discussed. | |
| ELEG5753 | Solar Cells and Beyond for Low-carbon Energy |
| This course introduces solar cell and other technologies for low-carbon energy systems. It starts with a review of semiconductors, with a focus on the fundamentals for solar cell development. The content covers such as electron and hole, Fermi energy, generation and recombination, p-n junction, and the optical and optoelectronic properties. | |
| ELEG5755 | Optical Communication and Interconnects |
| Overview of optical fibre communications. Types and properties of fibres. Optical transmitters, receivers, and repeaters. Passive optical component. Optical modulation and multiplexing techniques. Fibre communication systems. Optical networks. Introduction to optical interconnects. Silicon photonics. Active optical cables. Recent trends in optical interconnects. | |
| ELEG5757 | Intelligent Wearable Electronics |
| Introduction to wearable technology, reviews on wearable robotics, wearable sensor principles, wearable augmentation and machine intelligence, wearable design by "MINDS" (Miniaturization, Intelligence, Networking, Digitization, and Standardization), wearable medical devices and systems, wearable electro-physiologies, implantable therapeutic systems, sensor informatics, data-driven intelligent applications, and project topics of current interests. | |
| ELEG5758 | VLSI Digital Signal processing |
| This course will offer an overview of basic digital circuit design. It will then move on to advanced design techniques and at the same time covers a hardware design language, Verilog. The rest of the course will describe formal methods to optimize digital signal processing implementation. Methods include pipelining, parallel processing, retiming, unfolding and folding. This course will have a practical exercise to offer students opportunity to go through a digital signal processing implementation from algorithm specification to hardware. | |
| ELEG5759 | Innovation, Technology and Management in Modern Engineering |
| This course introduces the key concepts and issues of innovation, technology and management in the context of modern engineering practices. The new wave of socio-technological development is viewed as an integration and convergence of innovations and technology in communication, work, entertainment and others in our daily life. The objective of the course is to provide students a general overview and roadmap of creating cutting edge innovation and evolving digital economy. It helps students to establish a deep understanding about how engineering practice works, and how it affects and reshapes our communities and society, and about how to become best engineering performers. The best practices of intellectual property (IP) rights, protection, enforcement, and IP management from a technology perspective will also be introduced. Through case studies, students will appreciate the decision process on the type of technology to be developed, the development process of the technology, and how to turn new technology into real products. The aspects of funding, market study and commercialization will be covered. | |
| ELEG5760 | Machine Learning for Multimedia Applications |
| This course aims to provide students with a general understanding of various computational techniques that enable machines to understand different types of multimedia data, including text, speech, image and video. The course content covers the methods that are used to analyze, classify and detect the underlying information, properties and modalities inherent in complex data. Students will learn the theories, models, algorithms and operation of machine learning tools, which have been successfully developed and deployed for speech/audio, image/video, and other multimedia applications. Specifically, the basics and recent progress of machine learning techniques will be introduced. |
Please refer to the full Course List here.
Venue & Facilities
The classes will be held in weekday evenings in the University campus in Shatin. Through advanced booking, students can use various facilities and service in the Department of Electronic Engineering, and the University, e.g. computer laboratory and the University Library services.
The Department
The history of our department precedes the Faculty of Engineering. Its rich history has enabled the department to excel in all fronts. Over the past 50 years, we have nourished more than 4,000 graduates. Many of them are now in influential positions in their professions. We have been very successful in securing research funding to boost our research personnel to over 160 postgraduate students and 80 research staff.
Our staff maintains a good record of awards and decorations. First and foremost is the Nobel Prize awarded to our Founding Chairman the late Professor Charles Kao in 2009. Professor Meng Max Qing Hu has been elected Fellow of the Canadian Academy of Engineering (CAE) for his notable achievements in Engineering. Professor Tsang Hon Ki received the Research Excellence Award in 2007. Professor Zhang Yuanting won the Hong Kong ICT Gold Award in 2008 and 2014 IEEE-SA Emerging Technology Award in 2014. Professor Wu Ke Li invented the first ever smallest Bluetooth module in 2005. Professor XU Jianbin received the Joint Research Fund for Overseas Chinese, Hong Kong and Macau Scholars funded by NSFC in 2009 and has been awarded a prestigious award of Cheung Kong Visiting Chair Professorship by the Ministry of Education of the People’s Republic of China. Professor XU Jianbin and Professor Tsang Hon Ki as well as their research teams have been awarded the 2nd prize of the Natural Science Awards 2014 by the Ministry of Education of the People’s Republic of China. We have eight IEEE Fellows among us and our staff received Best Paper Awards in numerous occasions.
- 學生必須修滿8門科目包括一門畢業課程#，並且GPA大於或等於2.0才能畢業。
- 學生GPA低於1.0或者連續兩學期在試讀學期中GPA低於 2.0將被要求退學。
- 全日制課程為期1年，兼讀制課程為期2年。每年有2個學期。
- 每門科目時長通常為14個星期，一共由36個課時和6小時的輔導/實踐培訓組成。
- 如果得到有關課程主任的批准，學生最多可以從工程學院其他研究生課程中選擇兩門科目修讀。
- 全日制學生可以修讀電子工程學系提供的其他日間研究生科目。
- 特殊情況下，經過課程主任和研究院院長批准，學生最多可以申請轄免修讀2門科目（6學分）。
獲得學位
如果修滿學分並且達到GPA要求，畢業生將獲得香港中文大學電子工程學理學碩士學位。
#適用於2024-25及以後入學的學生
課程重點
對電子工程師來說，不斷提升專業技能去打開新的大門並在工作中脫穎而出是很重要的。這也是我們希望在碩士課程中提供給學生的。成功不僅意味著你的事業一直向前發展，也要為社會發展做出自己的貢獻，努力攀向知識的巔峰，正如我們的創始人諾貝爾獎得獎者高錕教授所說的那樣。正因為如此我們贏得了世界的讚譽。
今天的電子工程師面臨著許多新的挑戰。許多新的應用需要有跨學科的技能。不僅僅是傳統的電子器件，還需要瞭解光學、太陽能技術和納米器件等。設計思想也應該跟上時代的變化。低成本和高性能不再是設計唯一的考慮因素。當今工程師要把環境保護融入到設計的理念之中。除此之外，為了加速計算和通信，設計已經慢慢從電子轉向光子。這就是為什麼我們提供覆蓋面廣的課程，並允許學生根據自己的意願和興趣自由選擇。
我們還為學生提供參與實驗室的研究項目或修讀項目設計課程的機會。
高級技術課程
碩士課程包括但不限于科技與工程管理，人工智能及大數據分析，未來物聯網應用，可再生能源，智能材料，固態電子、光電子學、光纖通信、語音及視頻技術和超大規模集成電路領域等的高級課程：
| ELEG5726 | 電源管理集成電路 |
| 本科目旨在讓學生瞭解電源管理集成電路之設計,模擬及測量方法。帶縫參考電壓,線性穩壓器及開關式穩壓器。佈局設計。 | |
| ELEG5753 | 太陽能電池與相關低碳技術 |
| 本課程將討論太陽能電池及其它相關低碳技術。首先，課程將回顧與太陽能電池發展相關的半導體基礎知識，內容包括電子和空穴、費米能、生成和重組、p-n結、以及光學和光電特性。 | |
| ELEG5755 | 光通信與光互連 |
| 光纖通信概述；光纖的類型和性質；光發射機，接收機和中繼器；無源光學元件；光調製和複用的技術；光纖通信系統；光纖網絡；光學互連簡介；矽光子學；有源光纖電纜；光互連的未來趨勢。 | |
| ELEG5757 | 智能穿戴式電子學 |
| 可穿戴技術導論、電子生理基礎、生物電子學、傳感技術原理、可穿戴設計(包括微型化、智能化、網路化、數字化，和標準化)、可穿戴醫療器械與系統、穿戴式機器人、植入式治療系統、傳感信息學、及其應用，以及最新進展。 | |
| ELEG5758 | VLSI 數字訊號處理 |
| 本課程將提供基本數字電路設計的概述。然後它將轉向先進的設計技術，同時涵蓋硬件設計語言Verilog。本課程的其餘部分將描述優化數字訊號處理的算法。技術包括流水線處理，並行處理，重定時，展開和折疊。本課程將通過實踐練習為學生提供從算法規範到硬件數字訊號處理實現的機會。 | |
| ELEG5759 | 創新,科技與工程管理 |
| 本課程旨在講解現代工程實踐中的創新、技術和管理各方面的關鍵問題和知識,以及工程科技在人們日常工作、生活以至社會發展中的角色。 通過這個課程,學生得以建立對前沿技術及數碼化經濟的現狀和發展前景的認識,對現代工程實踐及其社會影響加深理解,並學習如何成為優秀的工程技術人才。 學習的內容包括科技知識產權的種類,保護,法規,管理。 通過個案研習,學生將體會技術開發的決策和實施過程,以及如何把新技術轉化成實際產品。 課程也將介紹融資,市場和商業化的有關知識。 | |
| ELEG5760 | 面向多媒體應用的機器學習 |
| 本科旨在讓介紹一系列計算方法，以實現計算機對多媒體數據（包括文本、圖像、語音）的有效處理。該課程覆蓋了分析、識別、檢測數據中潛在信息、特性、模態的不同算法。學生將會在本科學習機器學習和深度學習技術的理論、模型、算法以及他們在計算機中的實現。這些理論和算法已經被成功應用於多種不同多媒體應用中。該科也會介紹機器學習和深度學習技術的基礎和前沿進展。 |
Please refer to the full Course List here.
場地和設施
課程將於平日晚上在沙田的大學校園授課。通過申請，學生可以在電子工程學系和大學中使用各種設施和服務，例如，計算機實驗室和大學圖書館服務。
關於學系
我們學系的成立早於工程學院，悠久的歷史累積使得我們系在各種前沿研究上處於領先位置。過去49年來，我們培養了4,000多名畢業生。他們當中很多都是各行各業的具影響力的人物。我們有充足研究經費，以及實力雄厚的研究隊伍，我們有超過160名研究生和80名研究人員。
一直以來我們的團隊不斷的獲得各種獎項。最初，我們的已故創始人高錕教授在2009年被授予諾貝爾獎。孟慶虎教授因其在工程領域的顯著成就，當選為加拿大工程院院士（CAE）。曾漢奇教授於2007年獲得卓越科研獎。張元亭教授於2004年榮獲香港資訊及通訊科技金獎，並於2014年榮獲IEEE-SA新興科技獎。吳克利教授於2005年發明第一個最小藍牙模塊。許建斌教授於2009年獲得國家自然科學基金委員會資助的港澳學者海外華人聯合研究基金，並被中華人民共和國教育部授予“長江訪問講席教授”榮譽獎。許建斌教授和曾漢奇教授及其研究團隊獲得了教育部2014年度自然科學獎二等獎。我們當中有8位IEEE會士，我們的成員多次獲得最佳論文獎。
