LI, Ran - HKUST Class Schedule & Quota

COURSE INFO

VECTOR	[0 credit]
DESCRIPTION	The course is designed to strengthen students’ competence in teaching. It comprises 2 parts: Part 1 aims to equip all full-time research postgraduate (RPg) students with basic teaching skills before assuming teaching assistant duties for the department. Good teaching skills can be acquired through learning and practice. This 10-hour mandatory training course provides all graduate teaching assistants (GTA) with the necessary theoretical knowledge with practical opportunities to apply and build up their knowledge, skills and confidence in taking up their teaching duties. At the end of the course, GTAs should be able to (1) facilitate teaching in tutorials and laboratory settings; (2) provide meaningful feedback to their students; and (3) design an active learning environment to engage their students. In Part 2, students are required to perform instructional delivery assigned by their respective departments to complete this course. MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. Graded PP, P or F.

VECTOR

[0 credit]

DESCRIPTION

The course is designed to strengthen students’ competence in teaching. It comprises 2 parts: Part 1 aims to equip all full-time research postgraduate (RPg) students with basic teaching skills before assuming teaching assistant duties for the department. Good teaching skills can be acquired through learning and practice. This 10-hour mandatory training course provides all graduate teaching assistants (GTA) with the necessary theoretical knowledge with practical opportunities to apply and build up their knowledge, skills and confidence in taking up their teaching duties. At the end of the course, GTAs should be able to (1) facilitate teaching in tutorials and laboratory settings; (2) provide meaningful feedback to their students; and (3) design an active learning environment to engage their students. In Part 2, students are required to perform instructional delivery assigned by their respective departments to complete this course. MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. Graded PP, P or F.

PDEV 6800Y - Introduction to Teaching and Learning in Higher Education (0 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Wait
T01 (6042)	14-OCT-2024 - 15-NOV-2024 Mo 10:00AM - 11:50AM	Rm 228, E2	LI, Ran	80	80	1
T04 (6045)	14-OCT-2024 - 15-NOV-2024 Mo 02:30PM - 04:20PM	Rm 148, E1	LI, Ran	60	60	1
T05 (6046)	14-OCT-2024 - 15-NOV-2024 Tu 04:30PM - 06:20PM	Rm 228, E2	LI, Ran	80	80	1

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 (6295)	TBA	TBA	HOU, Yun KUO, YI LUNG LI, Ran XIONG, Wanru YU, Liuqian ZHANG, Xuning ZUO, Ruiting	350	320	30	0

COURSE INFO

DESCRIPTION	The goal of this course is to introduce students to data analysis methods and procedures commonly used in social sciences. During the course, students will acquire practical skills to be able to gather, generate, visualize and analyze quantitative data in social science research.

UFUG 1811 - Quantitative Data Analysis for Social Research (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail
L01 (6366)	02-SEP-2024 - 06-DEC-2024 Mo 04:30PM - 05:50PM	Rm 102, W1	LI, Ran	40	27	13
L01 (6366)	02-SEP-2024 - 06-DEC-2024 Th 09:00AM - 10:20AM	Rm 102, W1	LI, Ran	40	27	13
T01 (6367)	02-SEP-2024 - 06-DEC-2024 Fr 12:00PM - 12:50PM	Rm 102, W1	LI, Ran	40	27	13