Chap 2: Operational amplifiers

Chap 6: Single-stage Integrated –Circuit amplifiers 

Chap 7: Differential and Multistage amplifiers

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 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 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

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