Announcements Graduate Seminar Spring Semester 2021

Syllabus for 2021 Spring semester KU Chem seminar series

Lecture

All lectures will be provided online using Zoom.

Meeting ID: 834 2243 8955

Password: 21--ChemSr

Grading

1.    Attendance (50%)

A.    All registered students are required to attend  ≥8 lectures.

B.    Attendance waiver is only granted for serious medical accidents

2.    Summary report (50%)

A.    All registered students should turn in summary reports  by the end of the each lecture day .

B.    The report should be uploaded on the Blackboard (Assignments and Tests menu) on time. 

Schedule

March 11

Sungjun Moon (Department of Military Science, Chosun University, Institute of Biological Defense, Korea University)

“Scientific and technological approach to North Korean nuclear weapons”

March 18

Namjoong Kim (Department of Pharmacy, Kyung Hee University)

“A Chemical Knock Down of p38 MAPK as a Novel and Potential Therapeutic Approach to Alzheimer’s Disease”

March 25

Yu Je-Joong (Department of Physics, Sungkyunkwan University)

“Finding novel folding and diffusion mechanisms of proteins using computer simulations”

April 1st

Lee, Sun-Woo (Department of Chemistry, Chonnam National University)

“Development of Synthetic Methods by using C-N bond activation”

April 8

Minsang Kwon (Department of Materials Science and Engineering, Seoul National University)

“Visible-light-driven controlled radical polymerization towards structurally well-defined polymer architecture”

May 6

Jeong, Yongcheol (School of Chemical and Biomolecular Engineering, Pusan ​​National University)

“Evaluation of structure and performance of porous materials based on mass computational screening”

May 13

Sunah Park (Department of Chemistry, POSTECH)

“Electron- and ion-conducting metal-organic frameworks”

May 20

Lee, Kyung-Gu (Department of Chemistry, Kunsan National University)

“Electrolyte Systems for Lithium Metal Anodes and Rechargeable Lithium Metal Batteries”

May 27

Jong-Seo Kim (Department of Biochemistry, Seoul National University)

“Ultrasensitive and accurate proteome identification/quantification for biological study”

June 3

Jung Yoo-seong (Department of Chemical and Biomolecular Engineering, KAIST)

“Accelerated chemical science using machine learning”