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 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 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