FRANZ, RACHEL - HKUST Class Schedule & Quota

Class Schedule & Quota
2025-26 Spring 2025-26 Winter 2025-26 Fall 2024-25 Summer
2025-26 Spring
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

VECTOR	[1-3 credit(s)]
DESCRIPTION	An independent research project carried out under the supervision of a faculty member.

CMAA 6018A - Independent Study (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
R26 (6364)	TBA	No room required	FRANZ, RACHEL	5	0	5	0	research topic: HCI for Aging Instructor Consent Required

COURSE INFO

ATTRIBUTES	Common Core: Foundations (CTDL)
DESCRIPTION	This course is taught by a teaching team of a group of faculties from four Hubs to introduce the basics of critical thinking and data literacy. The course will be delivered using the problem-solving approach with interdisciplinary applications. The contents include barriers to critical thinking, characteristics of a critical thinker, argument, cognitive bias, logical fallacies, inductive reasoning, and simple probability and statistical models. Students will be equipped with critical thinking and data analyzing skills to analyze problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, construct valid arguments, and make better decisions in personal and professional life.

ATTRIBUTES

Common Core: Foundations (CTDL)

DESCRIPTION

This course is taught by a teaching team of a group of faculties from four Hubs to introduce the basics of critical thinking and data literacy. The course will be delivered using the problem-solving approach with interdisciplinary applications. The contents include barriers to critical thinking, characteristics of a critical thinker, argument, cognitive bias, logical fallacies, inductive reasoning, and simple probability and statistical models. Students will be equipped with critical thinking and data analyzing skills to analyze problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, construct valid arguments, and make better decisions in personal and professional life.

UCUG 1000 - Cognitive Foundations of University Education: Critical Thinking and Data Literacy (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6395)	TBA	TBA	FRANZ, RACHEL LI, Ran WANG, Binzhe WU, Cai YU, Liuqian	180	0	180	0