Teaching training materials
This is collection of teaching training materials.
Posts by Collection
portfolio
ELEP: Ensemble Learning for Earthquake Processing
This is collection of codes, tutorials, and videos.
QuakeAI: Applications of Deep Learning in Seismology
This is a collection of codes, tutorials, and videos.
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Machine Learning in Earth and Planetary Sciences
Graduate course, Harvard University, Earth and Planetary Sciences, 2019
This is the seminar-based class taught by Marine Denolle and Bradley Lipovsky in the fall of year 2019. They are both currently professors at University of Washington. I was fortunately to be an invited guest lecturer for this class. I gave a lecture on the topic of “Machine Learning in Seismology”. The slides can be found lecture01 lecture02
Nature Hazards
Undergraduate course, Harvard University, Earth and Planetary Sciences, 2021
This is a undergraduate-level course designed by Prof.Brendan Meade. I worked as a teaching fellow for this course in the fall of year 2021. I was responsible for laboratory sessions, grading homeworks and exams, and holding office hours. The course covers a wide range of topics in natural hazards, including earthquakes, hurricanes, and pandemics. The course is designed to be accessible to students with no prior knowledge of earth science. The course is also designed to be hands-on, with a focus on the use of GIS technology to measure, map, and anticipate the impacts of natural disasters.
SCIENCE 5: An Introduction to Computation for Contemporary Science
Undergraduate course, Harvard University, Earth and Planetary Sciences, 2022
This is a undergraduate-level course designed by Prof.Brendan Meade. I worked as a teaching fellow for this course in the fall of year 2022. I was responsible for computation sessions, grading homeworks and exams, and holding office hours. The course covers extensive scientific topics, including biology, exoplanets, atmoshere, and earthquakes. The course is designed to be accessible to students with no prior knowledge of python programming. The course is also designed to be hands-on, with a focus on learning python programming language to create dynamic computational notebooks that interweave code, images, comments, questions, and analysis. Here is my teaching materials and proposed course projects.