ZHANG, Zhuoni - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Fall 2024-25 Summer 2024-25 Spring 2021-22 Winter
2025-26 Fall
Common Core Course
The class information on this page will normally be updated every 15 to 20 minutes during class enrollment period.
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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 CNCC CNGF DLED DSAA EOAS FTEC FUNH INFH INTR IOTA IPEN LANG MICS MSSM PDEV PLED ROAS SEEN SMMG SOCH SYSH UCMP UCUG UFUG UGOD

COURSE INFO

ATTRIBUTES	Comon Core: Broadening (Social Analysis)
CROSS CAMPUS COURSE EQUIVALENCE	SOSC 3880
DESCRIPTION	Social stratification concerns the unequal distribution of resources/rewards/opportunities which are scarce but widely desired, and the process of status attainment or social mobility whereby some persons or groups come to receive more of these scarce things than are received by others. This course will introduce the basic concepts and theories in analyzing social and economic inequalities in the contemporary world.

UCUG 3801 - Social Inequality and Social Mobility (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6533)	Fr 06:00PM - 08:50PM	Rm 101, W4	ZHANG, Zhuoni ZHOU, Muzhi	33	28	5	0

COURSE INFO

VECTOR	[3-0-0:3]
DESCRIPTION	This course introduces fundamental knowledge and practice of basic statistics in quantitative social science research, with a focus on how quantitative methods are used to assemble, describe, and draw inferences from bodies of numerical data. The course serves as an additional foundation for more advanced methodology courses (such as UGOD 5020). The course covers two modules. The first is about descriptive statistics and fundamentals of statistical inference. Topics include frequency distribution, probability theory, random variable and probability distributions, estimation, hypothesis testing, t-test, Analysis of Variance (ANOVA), and contingency table analysis. The second is about linear regression techniques, which are widely used in social science research. The course materials are explored through the analyses of real data sets using STATA.

VECTOR

[3-0-0:3]

DESCRIPTION

This course introduces fundamental knowledge and practice of basic statistics in quantitative social science research, with a focus on how quantitative methods are used to assemble, describe, and draw inferences from bodies of numerical data. The course serves as an additional foundation for more advanced methodology courses (such as UGOD 5020). The course covers two modules. The first is about descriptive statistics and fundamentals of statistical inference. Topics include frequency distribution, probability theory, random variable and probability distributions, estimation, hypothesis testing, t-test, Analysis of Variance (ANOVA), and contingency table analysis. The second is about linear regression techniques, which are widely used in social science research. The course materials are explored through the analyses of real data sets using STATA.

UGOD 5009 - Inferential Statistics and OLS Regression (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6252)	We 03:00PM - 05:50PM	Rm 201, E3	ZHANG, Zhuoni	15	11	4	0