2023 Summer Tutorial Series

Machine Learning: Applications and Practices, and Introduction to Meteorology (Syllabus)

Instructors:

Dr. Xu Yuan, University of Louisiana at Lafayette  
Dr. Li Chen, University of Louisiana at Lafayette  
Dr. Nian-Feng Tzeng, University of Louisiana at Lafayette  
Dr. Hao Wang, Louisiana State University  
Dr. Sytske Kimball, University of South Alabama  
Dr. Eric Rappin, Western Kentucky University  

TAs:

Jiadong Lou,   Md Sirajul Islam,   Fudong Lin

Week 1

May 31 - Lecture 1: Course Overview and Introduction to Machine Learning. Slides
June 2 - Lab 1: Installing Python (File 1), Running Simple ML Examples (File 2).

Week 2

Watching video clips: The sun as the primary weather forcing factor.
June 7 - Lecture 2: Feature Selection and ML Classification. Slides
June 8 - Q&A.
June 9 - Lab 2: Labeling Twitter Data and Coding for Feature Extraction. Data Label Sample Codes, Feature Extraction Sample Codes

Week 3

Watching video clips: What happens when the sun hits the Earth’s Surface?
June 14 - Lecture 3: Neural Networks and Deep Learning Fundamentals. Slides
June 15 - Q&A.
June 16 - Lab 3: Coding for ML Algorithms. ML Classification Sample Codes

Week 4

Watching video clips: Where weather affects us: The Boundary Layer?
June 21 - Lecture 4: Theory of Deep Learning. Slides
June 22 - Q&A.
June 23 - Lab 4: Coding for LSTM and CNN. Sample Codes

Week 5

Watching video clips: Forecasting Basics?
June 28 - Lecture 5: Weather Forecasting: Introduction to Mesonet and WRF-HRRR Data, and Forecasting Modelets. Slides
June 29 - Q&A.
June 30 - Lab 5: Downloading Data of Interests and Extracting Features. Download Sample Data, and Micro Sample Codes and Micro Running Modelets Mesonet and WRF Sample Codes.

Week 6

Watching video clips: Severe Weather.
July 5 - Lecture 6: Reinforcement Learning. Slides
June 6 - Q&A.
July 7- Lab 6: Coding for Reinforcement Learning. Sample Codes

Week 7

Watching video clips: Hurricanes.
July 12 - Lecture 7: Introduction of Large Language Models (LLMs). Slides
June 13 - Q&A.
July 14 - Lab 7: Hands-on Experience with Training and Using LLMs. Lab

Week 8

Watching video clips: Measuring the Weather with Instruments and Weather Stations.
July 19 - Lecture 8: How Does ChatGPT work? Slides
June 20 - Q&A.
July 21 - Lab 8: Hands-on Experience with Training and Using LLMs. Lab

Week 9

Watching video clips: Observing Weather with Radar.
July 26 - Lecture 9: LLMs for Real-world Applications. Slides
June 27 - Q&A.
July 28 - Lab 9: Reporting.