GAO, Shijian - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Summer 2024-25 Spring 2024-25 Fall 2021-22 Winter
2024-25 Spring
Common Core Course
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COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course introduces stochastic processes, focusing on their application in Electrical Engineering, Computer Science, and other related Engineering fields. Stochastic processes are vital for modeling systems affected by uncertainty, which is crucial in areas such as communications, signal processing, control systems. Students will explore mathematical foundations, including probability models, random variables, and statistical inference. Topics such as random vectors, Gaussian processes, and continuous-time random processes will be covered, providing essential tools for analyzing complex data. A key emphasis will be on applications in radar systems, demonstrating how stochastic models improve signal processing and system design. Additionally, students will learn how these concepts apply to IoT, where managing uncertainty in large data sets is critical for enhancing performance and reliability. By bridging multiple engineering disciplines, this course prepares students to tackle real-world challenges, equipping them with skills necessary for innovative solutions in an increasingly data-driven landscape.

VECTOR

[3-0-0:3]

DESCRIPTION

This course introduces stochastic processes, focusing on their application in Electrical Engineering, Computer Science, and other related Engineering fields. Stochastic processes are vital for modeling systems affected by uncertainty, which is crucial in areas such as communications, signal processing, control systems. Students will explore mathematical foundations, including probability models, random variables, and statistical inference. Topics such as random vectors, Gaussian processes, and continuous-time random processes will be covered, providing essential tools for analyzing complex data. A key emphasis will be on applications in radar systems, demonstrating how stochastic models improve signal processing and system design. Additionally, students will learn how these concepts apply to IoT, where managing uncertainty in large data sets is critical for enhancing performance and reliability. By bridging multiple engineering disciplines, this course prepares students to tackle real-world challenges, equipping them with skills necessary for innovative solutions in an increasingly data-driven landscape.

IOTA 6910F - Stochastic Process in Engineering Systems (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6095)	Tu 06:00PM - 08:50PM	Rm 102, E1	GAO, Shijian	30	8	22	0