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Teaching

EE576: Integrated Memory Device and Technology

Spring 2018: Mon/Wed 3:30pm-4:50pm Location: MHP B7B

Instructor: Han Wang,   Assistant Professor Ming Hsieh Department of Electrical and Computer Engineering

This graduate course introduces students to the fundamental device physics, advanced integration technology and cutting-edge innovations in memory device and circuits.
Intended Audience: Students working in the various fields of semiconductor devices, integrated circuits, nanoelectronics, nanotechnology and material science.
Course Overview: In this course, the students will understand the fundamental principles of semiconductor memory devices. The various types of memory technology to be covered include magnetic memories, flash memory, phase change memory, resistive memory (memristor), etc. We will discuss emerging trends in memory technology including multi-cells and 3D integration. The advanced applications of memory or memory-like devices in the emerging field of neuromorphic computing will also be introduced. Through the course, the students will become familiar with major memory device structures and integration technology. We will also study device models for analyzing various types of memory devices. By completing the course, the students will establish a good understanding about a variety of memory devices and analysis techniques, as well as developing a strong knowledge base about emerging memory technologies.

EE599: Introduction to Bioelectricity and Biomimetic Electronics

Fall 2017: Mon/Wed 3:30pm-4:50pm Location: KAP 140

Instructor: Han Wang,  Assistant Professor Ming Hsieh Department of Electrical and Computer Engineering

Course Overview: The first half of this graduate course introduces students to the fundamentals of bioelectricity. We will discuss the basic circuit theory that has been develop to model the human nervous systems. The bioelectrical systems bear close similarity to silicon semiconductor circuits. The second half of the course will discuss the cutting-edge innovations in solid-state electronics inspired by bioelectrical systems and the emerging field of neuromorphic computation.
Prerequisites: The course requires knowledge in basic circuit theory to understand the principles of resistors, capacitors and inductor based circuits. It will also make use of the basic mathematical tools such as differential equations. It will be useful if the students also have a basic understanding of semiconductor devices such as operation of transistors, but is not required.

 

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