LUO, Yuyu - HKUST Class Schedule & Quota

Class Schedule & Quota
2024-25 Fall 2023-24 Summer 2023-24 Spring 2021-22 Winter
2024-25 Fall
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
» Student Information System (SIS)» PG Program/Course Catalog
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This service was first adapted from a student contribution in 2011-12 Fall. The efforts of all concerned are duly acknowledged.

AIAA AMAT BSBE CMAA DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course will teach students data science computing techniques. Topics cover: (1) Basic concepts of Data Science Computing and Cloud; (2) MapReduce - the de facto datacenter-scale programming abstraction - and its open source implementation of Hadoop; and (3) Apache Spark - a new generation parallel processing framework - and its infrastructure, programming model, cluster deployment, tuning and debugging, as well as a number of specialized data processing systems built on top of Spark.

VECTOR

[3-0-0:3]

DESCRIPTION

This course will teach students data science computing techniques. Topics cover: (1) Basic concepts of Data Science Computing and Cloud; (2) MapReduce - the de facto datacenter-scale programming abstraction - and its open source implementation of Hadoop; and (3) Apache Spark - a new generation parallel processing framework - and its infrastructure, programming model, cluster deployment, tuning and debugging, as well as a number of specialized data processing systems built on top of Spark.

DSAA 5021 - Data Science Computing (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6059)	02-SEP-2024 - 06-DEC-2024 Tu 09:00AM - 11:50AM	Rm 122, E1	LUO, Yuyu	60	46	14	0

COURSE INFO

VECTOR	[1-0-6:3]
DESCRIPTION	This course will teach students practical programming and parallel processing skills on implementing various deep learning or machine learning models, starting from preparing data, feature selection to model choosing, hyperparameter tuning, and final result analysis and explaining. This course is only available for MSc(DCAI) students.

DSAA 6100 - Practical Lab Course (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6064)	02-SEP-2024 - 13-SEP-2024 Tu 01:30PM - 02:20PM	Rm 147, E1	LUO, Yuyu	60	45	15	0
L01 (6064)	16-SEP-2024 - 06-DEC-2024 Tu 01:30PM - 02:20PM	Rm 149, E1	LUO, Yuyu	60	45	15	0
LA01 (6065)	02-SEP-2024 - 06-DEC-2024 We 09:00AM - 11:50AM	Rm 147, E1	LUO, Yuyu	60	45	15	0	This class section has two classrooms E1147 and E1228. Please check with the instrucor on the specific location of each class meeting.
	02-SEP-2024 - 06-DEC-2024 We 09:00AM - 11:50AM	Rm 228, E1	LUO, Yuyu
	02-SEP-2024 - 06-DEC-2024 Th 09:00AM - 11:50AM	Rm 228, E1	LUO, Yuyu
	02-SEP-2024 - 06-DEC-2024 Th 09:00AM - 11:50AM	Rm 147, E1	LUO, Yuyu

COURSE INFO

VECTOR	[2 credits]
DESCRIPTION	In this course, students will be trained in the industry. They will work under the guidance of their supervisors (industry and academia) to practice what they have learned in the program, and apply the data science and AI knowledge and techniques to various real-life problems. In Part I, students are required to complete an Open Topic report with oral examination on the scientific value, feasibility and technical challenges of the proposed topic. This course is only available for MSc(DCAI) students. Graded PP, P or F.

VECTOR

[2 credits]

DESCRIPTION

In this course, students will be trained in the industry. They will work under the guidance of their supervisors (industry and academia) to practice what they have learned in the program, and apply the data science and AI knowledge and techniques to various real-life problems. In Part I, students are required to complete an Open Topic report with oral examination on the scientific value, feasibility and technical challenges of the proposed topic. This course is only available for MSc(DCAI) students. Graded PP, P or F.

DSAA 6920 - Industry Internship Ⅰ (2 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R01 (6471)	TBA	TBA	LUO, Yuyu	60	52	8	0