Academics

Graduate Program

Computer Architecture

Subject No.
Research
Credit
Classification
Prerequisite

The goal of this course is to understand the principles and organization of computer systems and to learn the performance enhancing techniques and quantitative analysis methods used in advanced processors. This course covers high-performance techniques such as pipelining and out-of-order processing, memory hierarchy including a cache memory and virtual memory, interrupt processing, and how to design a processor based on quantitative analysis. In addition, recent important topics such as SIMD and multiprocessors will be introduced and design and simulation for a virtual processor are to be practiced for a comprehensive understanding of computer systems.
(Prerequisite: EE303, EE312)

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This course will introduce elementary concepts of biomedical electronics and guide students on how to apply their electrical engineering skills to solve problems in medicine and biology. Topics include biomedical sensors, nano-biosensors, nano-bio actuators, bio-inspired devices for medicine, non-invasive and ubiquitous body sensing, and their clinical applications.

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Communication, Signal
EE.20002

This course is an introduction to continuous-time and discrete-time signals and systems. The course covers Fourier series, Fourier transform, Laplace transform, and z-transform. Various types of systems with emphasis on linear time invariant system is studied.

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Wave
EE.20004

This course covers introductory electromagnetic fields and waves. Static electric fields and static magnetic fields are discussed. Time-varying fields and Maxwell’s equations are introduced. Waves and transmission lines are studied.

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This course covers data structures, algorithms, JAVA for electron electronics engineering. We study object-oriented programming techniques and use programming language C, JAVA.

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Computer, Circuit, Communication, Signal, Wave, Device
EE.30005

Experiments related to electronics are performed. Focus is made for both hands-on experience and design practice. (Prerequisite: EE201, EE304)

 

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