·
ME
308 Introduction to Fluid Mechanics, Fall 2023
·
MA
303 Differential Equations and Partial Differential Equations for Engineering
and the Sciences, Spring 2023
2022 Teaching:
·
MA
303 Differential Equations and Partial Differential Equations for Engineering
and the Sciences (2 Sections), Purdue University, Spring 2022
2021 Teaching:
·
ME
308 Introduction to Fluid Mechanics, Fall 2021
2020 Teaching:
·
MA
303 Differential Equations and Partial Differential Equations for Engineering
and the Sciences, Purdue University, Fall 2020
·
Purdue
undergraduate vertically integrated project course on “Deep Reinforcement
Learning based Optimal Control of Complex Systems”, Spring 2020
2019 Teaching:
· Purdue undergraduate
vertically integrated project course on “Deep Reinforcement Learning based
Optimal Control of Complex Systems”, Fall 2019
· Purdue undergraduate
vertically integrated project course on “Deep Reinforcement Learning based
Optimal Control of Complex Systems”, Spring 2019.
· The Vertically Integrated Projects (VIP) Program unites
undergraduate education and faculty research in a team-based context.
Undergraduate VIP students earn academic credits, while faculty and graduate
students benefit from the design/discovery efforts of their teams. VIP
extends the academic design experience beyond a single semester, with students
participating for up to three years. It provides the time and context to
learn and practice professional skills, to make substantial contributions, and
experience different roles on large multidisciplinary design/discovery teams.
The long-term nature of VIP creates an environment of mentorship, with faculty
and graduate students mentoring teams, experienced students mentoring new
members, and students moving into leadership roles as others graduate. VIP
attracts students from many disciplines and enables the completion of
large-scale design/discovery projects, strengthening and expanding faculty
research portfolios.
2016 Teaching:
2015 Teaching:
Dr. Guang Lin has made major contributions to
curriculum development in the uncertainty quantification and data sciences with
important applications in modeling climate, environmental and biological
systems at Purdue University. He has taught a variety of undergraduate, and
graduate math courses. At Purdue, he developed two new courses on “Uncertainty
Quantification” and “Machine Learning and Uncertainty Quantification for Data
Science” in both Department of Mathematics and School of Mechanical Engineering.
Dr. Lin has participated in a variety of teaching
programs at Brown University aimed at improving the quality of undergraduate
education. Additionally, he has given many short courses and invited lectures
on various research topics at international conferences and department
colloquiums, which have helped to improve his teaching skills. He also has
extensive experience in mentoring junior researchers and young students. In the
past five years, he has mentored 26 summer interns and students, and 10 postdoctoral
or post-master scholars.
Over 10 undergraduate students have worked as port
of Dr. Lin’s research group. He has has served as
mentor for Purdue Network for Computational Nanotechnology Summer Undergraduate
Research Fellowship (SURF) program since 2014. He has mentored 5
undergraduates: Yiyi Chen, Ruotong Ji, Zixuan Liu, Tian Qiu, Lefei Liu through
SURF program. In addition, he also served as mentor in Wentao Chen’s Purdue
undergraduate team, who was awarded the prize of finalist in the MCM math
modeling contest in 2016, which is one of 22 finalist teams out of
7421 teams around the world. Besides his teaching responsibilities, Dr. Lin was
actively involved at Purdue University in undergraduate advising, serving as
mentor at Purdue Campus for the Society for Collegiate Leadership &
Achievement.