Curriculum

Academics

Curriculum

Academics

Curriculum

Curriculum

Undergraduate Program

Circuit
EE304

This course is an introduction to electronic circuits and the analysis and design of transistor amplifiers. First, the course extensively explains the basic operation principles of diodes, BJTs, and MOSFETs derived from physical structures and gives a concept of equivalent device models. Then, we will study the design and analysis of basic BJT and FET amplifiers and differential and multi-stage amplifiers. (Prerequisite: EE201)

Recommend

The objective of this course is to understand the basic principles and hardware structures of computer systems including personal computers and workstations, and to learn how to design computers. This course covers data representation, CPU organization, instruction classification, language processing of assemblers and compilers, pipelining for performance enhancement, memory hierarchy, cache memory, and IO peripheral devices. In addition, high-performance computer systems are to be introduced.

Communication
EE321

This course is a brief introduction to random processes. Topics include Basic operating principles and circuits of AM, FM, and SSB modulation/demodulation, PLLs, mixers, and ADCs; Noise performance of communication systems; Introduction to digital communication techniques such as BPSK, FSK and QAM keying/detections. Issues related to multiple access techniques are covered. (Prerequisite: EE202)

Communication ∣ Computer
EE323

This course will help the students learn how to design and implement computer networks, and their protocols, services, and applications. This course will include both principles and practice, but more importantly, is designed to let the students have hands-on experience. Most of the topics will be connected to the Internet, i.e., how the Internet works.

Communication ∣ Computer
EE324

This is an introductory networking course based on the Cisco Networking Academy Program and provides knowledge and practical experience with the design, configuration, management, and maintenance of computer networks. Topics include OSI 7-layer architectures, cabling, Ethernet, routing, TCP / IP protocols, IP addressing, routing protocols, WANs, network troubleshooting, and access control lists.

Recommend

Introduces the principles, algorithms and application of machine learning from the point of modeling and prediction; learning problem representation.

This course will cover concepts such as representation, over-fitting, regularization, and generalization; topics such as clustering, classification, regression, recommendation problems, probabilistic modeling, reinforcement learning, and various on-line algorithms. It will also introduce a support vector machine and deep learning.

Recommend

This course covers intermediate electromagnetic waves and antennas. Transmission line applications and waveguide fundamentals are introduced. Basic antenna theory is discussed. Antennas for wireless applications are further studied. (Prerequisite: EE204)

Recommend