## English as a Medium of Instruction

### Courses tagged with "english as a medium of instruction": 13

Chap 2: Operational amplifiers

Chap 6: Single-stage Integrated –Circuit amplifiers

Chap 7: Differential and Multistage amplifiers

Course Description

There are two questions to be addressed in this course. First, given an optimization problem in hand, how can we reformulate it, or well approximate it, into a tractable convex problem, allowing the adoption of abundant convex optimization theories (e.g., Karush-Kuhn-Tucker theory) to obtain a stable (and hopefully closed-form) solution? Second, given a large-scale (reformulated/approximated) convex problem in hand, how can we solve it with suitable optimization methods (e.g., Fast Proximal Gradient Method (FPGM) and Alternating Direction Method of Multipliers (ADMM)), that guarantee both convergence and computational efficiency? Addressing these two questions, equipping course attendees with fundamental knowledges in convex optimization (a new degree of freedom for solving cutting-edge research problems), demonstrating real-world applications in remote sensing and related areas, as well as introducing off-the-shelf convex optimization software, are the objectives of this course.

Course Objectives

1. Understand the basic concepts of convex optimization and convex geometry.

2. Master the skill of reformulating an optimization problem as a convex problem.

3. Be able to customize an efficient algorithm for your convex problem.

Course Description

This course will provide students to learn how to apply artificial intelligence (AI) and data science (DS) techniques to improve the efficiency of manufacturing systems. The models include genetic algorithm, neural network, feature selection, decision tree, etc. We need to read research literature to fill the gap between methodologies and practice. The course integrates the knowledge domains of the information and engineering, and solves the real problem systematically using the design of metaheuristic algorithms and statistics tools.

Course Objectives

1. Know the advanced techniques of intelligent manufacturing systems

2. Create theoretical model and the program to solve practical problems

3. System development and implementation

Course Objectives

1. Navigation concept, GPS/GNSS signal and data processing, Estimation theory

2. Spread spectrum communication, System integration, GPS/GNSS data processing

3. MATLAB/Simulink, Kalman filter, GPS/GNSS signal processing

Course Description

This course will introduce the basic theory of ultrasound and guide students to perform practical work with ultrasound systems. The scope of the course includes ultrasound imaging systems, photoacoustic imaging systems, ultrasound simulations and introduction to the basic principles of various ultrasound systems.

The teaching method is divided into four parts:

(1) Introduction to basic acoustics.

(2) Introduction to ultrasound systems and discussion of practical problems.

(3) Introduction to the propagation of ultrasonic waves by K-wave simulation.

(4) Progress planning and problem discussion.

Course Description

This course introduces semiconductor device models for IC simulation. We teach the basics of SPICE simulation and introduce the Verilog-AMS modeling language. Subsequently, we review various aspects of MOSFET modeling, including basic current and capacitance models, mobility, series resistance, output conductance, short channel effects, leakage currents, and noise models. Throughout this course, we focus on the description of these physical phenomenons in industry standard SPICE models, such as BSIM3, BSIM4, and BSIM-CMG. Programming is required for class assignments. Finally, we conclude this course with practical aspects to model a real technology, including device parameter extraction.

Course Objectives

1. Review of semiconductor device physics and MOSFET modeling

2. Use of TCAD to analyze semiconductor devices and processes

3. Learn compact models and the VerilogA language in SPICE simulation

Course Description

1. Semiconductor Materials and Diodes：Semiconductor Materials and Properties, pn Junction, Diode Circuits, Other Diode Types.

2. Diode Circuits：Rectifier Circuits, Zener Diode Circuits, Clipper and Clamper Circuits, Multiple-Diode Circuits, Photodiode and LED Circuits.

3. Bipolar Junction Transistor：Basic Bipolar Junction Transistor, DC Analysis of Transistor Circuits, Basic Transistor Applications, Bipolar Transistor Biasing, Small-Signal Equivalent Circuit.

Course Objectives

1. Familiarizing the fundamentals of the semiconductor physics

2. Understanding the basic tenets of the guided-wave optics

3. Becoming handy with the computer programming to solve scientific problems

Course Description

This course will introduce the basic theory of MEMS components and guide students to perform hands-on work on MEMS components, covering common MEMS processes, component design and simulation, photomask layout, and introduction to the basic operating principles of each MEMS component.

The teaching method is divided into four parts:

(1) Introduction to basic mechanics.

(2) Introduction to microelectromechanical processes.

(3) Simulation and design of microelectromechanical components.

(4) Practical planning and problem discussion.

Course Objectives

1. Basic knowledge of micro-electrical process equipment

2. Theory of MEMS component design

3. Practical work on MEMS components

Course Description

1：Introduction to Electronic Instrumentation and Measurement

2：Basic Measurement Theory

3：DC and AC Deflection Meter Movements

4：Bridge Circuits

5：Electronic Multimeters

6：Power Supply

7：Electronic Counters

8：Biomedical Acquisition System，

9：Digital Oscilloscope & Spectrum Analyzer

10：NI ADC Principles and Biomedical Signal Fundamentals

11：Logic Analyzers and Distortion

12：Wireless Transmission System

13：LCR Meter and Impedance Analyzer

Course Objectives

1. Theory of basic electrical instrumentation

2. Application of bridge and sensing circuits

3. Measurement principles of advanced instruments

Course Description

1: Basic concepts of circuits.

2: Basic laws of circuits.

3: Basic circuit analysis of node voltages and network currents.

4: Circuit theory.

5: Operational amplifiers.

6: Capacitance and inductance characteristics.

7: First-order Electricity. 8: Second-order circuits.

Course Objectives

1. Basic Components of Electrical Circuits

2. Basic Principles of Electronics

3. Related applications of electronics

Course Description

Chapter1： First Order Differential Equations

Chapter2： Second Order Differential Equations

Chapter3：The Laplace Transform

Chapter4： Series Solutions

Chapter14： Fourier Sereis

Course Objectives

To introduce concepts and theories of engineering mathematics.

To learn mathematical skills for solving problems in engineering/science.

To prepare students for their future career in engineering & applied science.