Undergraduate Courses
ESS 304000 Probability and Statistics 機率與統計
Spring, 2014; Spring, 2015; Spring, 2016; Spring, 2017; Spring, 2018;
Course Description
This is an introductory course in applied statistics and probability for undergraduate students in engineering. The purpose is to give the students an understanding of the methodology for dealing with the variability in observed data and how to apply it to engineering problems. Topics to be covered include the basic concepts of probability, discrete and continuous random variables, probability distributions, sampling distributions, point estimation of parameters, interval estimation for a single sample, hypothesis tests for a single sample, and simple linear regression.
Spring, 2014; Spring, 2015; Spring, 2016; Spring, 2017; Spring, 2018;
Course Description
This is an introductory course in applied statistics and probability for undergraduate students in engineering. The purpose is to give the students an understanding of the methodology for dealing with the variability in observed data and how to apply it to engineering problems. Topics to be covered include the basic concepts of probability, discrete and continuous random variables, probability distributions, sampling distributions, point estimation of parameters, interval estimation for a single sample, hypothesis tests for a single sample, and simple linear regression.
ESS 328000 Signals and Systems 訊號與系統
Fall, 2015; Fall, 2016; Fall, 2017; Fall, 2018
Course Description
This course introduces basic concepts in signals and systems and their associated mathematical and computational tools. Its purpose is to provide a common background for subsequent courses in electrical engineering: communications, control, electronic circuits, filter design, and digital signal processing. Topics to be covered include Linear Time-Invariant Systems, Fourier Series Representation of Periodic Signals, The Continuous-Time Fourier Transform, The Discrete-Time Fourier Transform, Time and Frequency Characterization of Signals and Systems, Sampling, The Laplace Transform and The Z-transform.
Fall, 2015; Fall, 2016; Fall, 2017; Fall, 2018
Course Description
This course introduces basic concepts in signals and systems and their associated mathematical and computational tools. Its purpose is to provide a common background for subsequent courses in electrical engineering: communications, control, electronic circuits, filter design, and digital signal processing. Topics to be covered include Linear Time-Invariant Systems, Fourier Series Representation of Periodic Signals, The Continuous-Time Fourier Transform, The Discrete-Time Fourier Transform, Time and Frequency Characterization of Signals and Systems, Sampling, The Laplace Transform and The Z-transform.
ESS 220000 Electronics Circuits I 電路學
Fall, 2015; Fall, 2016; Fall, 2018
Course Description
This is an introductory course in circuit analysis for undergraduate students. The purpose is to give the students an understanding of various analytical techniques for describing the behaviors of circuits. Topics to be covered include Basic Laws, Methods of Analysis, Circuit Theorems, Operational Amplifiers, Capacitors and Inductors, First/Second-Order Circuit, Steady-State Sinusoidal Analysis, Frequency Response, and Two-Port Networks.
Fall, 2015; Fall, 2016; Fall, 2018
Course Description
This is an introductory course in circuit analysis for undergraduate students. The purpose is to give the students an understanding of various analytical techniques for describing the behaviors of circuits. Topics to be covered include Basic Laws, Methods of Analysis, Circuit Theorems, Operational Amplifiers, Capacitors and Inductors, First/Second-Order Circuit, Steady-State Sinusoidal Analysis, Frequency Response, and Two-Port Networks.
ESS 222000 Electronics and Circuits 電子電路學
Fall, 2014; Fall, 2017
Course Description
This is an introductory course on circuit analysis and electronics at a level appropriate for nonmajors of electronics engineering. Topics to be covered include: Basic Laws, Resistive Circuits, Inductance and Capacitance, Transients, Steady-State Sinusoidal Analysis, Frequency Response, Diodes, Amplifiers, Field Effect Transistors, and Operational-Amplifiers.
Fall, 2014; Fall, 2017
Course Description
This is an introductory course on circuit analysis and electronics at a level appropriate for nonmajors of electronics engineering. Topics to be covered include: Basic Laws, Resistive Circuits, Inductance and Capacitance, Transients, Steady-State Sinusoidal Analysis, Frequency Response, Diodes, Amplifiers, Field Effect Transistors, and Operational-Amplifiers.
ESS 200900 Introduction to Nuclear Engineering 核工導論
Spring, 2018;
Course Description
本課程旨在建立大學部同學對於核能工程與輻射科學的基本觀念與學理知識。課程內容將逐步介紹核反應原理、反應器物理、核能系統、輻射與物質作用、輻射度量、輻射防護、核醫應用等數個建構核子工程與科技學門的主要領域。學生也將有機會實地參訪清華大學水池式反應器,並整合課程所獲得的知識於期末的分組討論報告。
Spring, 2018;
Course Description
本課程旨在建立大學部同學對於核能工程與輻射科學的基本觀念與學理知識。課程內容將逐步介紹核反應原理、反應器物理、核能系統、輻射與物質作用、輻射度量、輻射防護、核醫應用等數個建構核子工程與科技學門的主要領域。學生也將有機會實地參訪清華大學水池式反應器,並整合課程所獲得的知識於期末的分組討論報告。
Graduate Courses
ESS 526700 Advanced System and Signal Analysis 高等系統與訊號分析
Fall, 2014; Spring, 2017; Spring, 2018;
Course Description
This is a graduate level course in mathematical methods for system and signal analysis. The purpose is to give the students a comprehensive view of the mathematics prevalent in contemporary research and practice. The first part is a follow-up to the introductory discrete-time signal processing with emphasis on the processing of signals from random processes. The second part is to present how the linear algebra is used in the analysis of signals with a thorough discussion of the eigen-based method. Some selected papers from the field of signal processing will be discussed in the third part of this class.
Fall, 2014; Spring, 2017; Spring, 2018;
Course Description
This is a graduate level course in mathematical methods for system and signal analysis. The purpose is to give the students a comprehensive view of the mathematics prevalent in contemporary research and practice. The first part is a follow-up to the introductory discrete-time signal processing with emphasis on the processing of signals from random processes. The second part is to present how the linear algebra is used in the analysis of signals with a thorough discussion of the eigen-based method. Some selected papers from the field of signal processing will be discussed in the third part of this class.