Electronic Engineering Department, The Chinese University of Hong Kong - Home

Homepage

Home

This course provides an introduction to the important concepts, theories and algorithms of pattern recognition. The topics cover Bayesian decision theory, maximum likelihood and Bayesian parameter estimation, support vector machine, boosting, nonparametric pattern recognition methods, and clustering. It also includes applications of pattern recognition in different fields. Students taking this course are expected to have the background knowledge of calculus, linear algebra, probability and random process as a prerequisite. Pre-requisite: ELEG3410 or with the consent of the instructor. (For ELEG major and minor undergraduate as elective course; For students in MPhil-PhD programmes under Faculty of Engineering; Prerequisite: ELEG 3410 or with the consent of the instructor; Not for students who have taken ELEG5503 or ELEG5410.)

Introduction to solar energy technologies; semiconductors for photovoltaics; working principle and performance evaluation of photovoltaic cells (PVs); photovoltaic technologies (crystalline PVs, thin-film PVs, and organic and nanostructure based PVs); solar panel system design; cost aspects, market development and environmental impact of photovoltaic industry. (Not for students who have taken ESTR4402. Pre-requisites: ELEG2202 and ENER2020; or ELEG2202 and ELEG3201/ESTR3200.)

Introduction: television standards, digital image representation, statistical models, basic lossless and lossy coding techniques; advanced coding techniques: wavelet coding, synthetic-natural hybrid coding, post-processing techniques; image coding standards: JPEG, JPEG 2000; video coding standards: H.261, H.263, MPEG1, MPEG2, MPEG4; HDTV standard. (For ELEG RPG & TPG students, ELEG undergraduate major and minor students as elective course; Not for students who have taken ELEG5431.)

This course covers principles and practice of state-of-the-art nanofabrication technology. These nanofabrication techniques are the foundation to build integrated devices and circuits with feature size below 100 nm and are widely employed in various areas such as nanoelectronics, nanophotonics, nanomechanics, and microfluidics. Students will learn to use the fabrication and characterization equipment available in the public cleanroom of the faculty of engineering. The top-down nanofabrication processes, such as lithography, etching, and thin-film deposition, etc. will be addressed. (For ELEG RPG & TPG students, ELEG undergraduate major and minor students as elective course.)

Wave acoustics; Principles of sound production and sound perception; Production of speech and music signals; Fundamentals of discrete-time signal processing; Time-domain and frequency-domain methods of speech processing; Linear predictive analysis of speech; Properties of music and other audio signals; Periodicity and harmonics; Pitch extraction; Speech and audio coding techniques; Introduction to speech and music synthesis. (For ELEG RPG students, ELEG undergraduate major and minor students as elective course; Not for students who have taken ELEG5420.)

  1. ELEG5491 Introduction to Deep Learning [Group B Elective]
  2. ELEG5303 Flexible Electronics – Physics and Technology [Group B Elective]
  3. ELEG5302 Biophotonics [Group B Elective]
  4. ELEG5301 Photonic Integrated Circuits [Group B Elective]

Subcategories

Undergraduate Programmes Article Count:  108

MPhil-PhD Programme Article Count:  53

MSc Programme Article Count:  35

Student Admission Article Count:  0

back-to-top