Course Slides

HTML presentations for courses taught by the Chapman Research Group.

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ATOC 4815/5815: Scientific Programming, Data Analysis and Visualization

Spring 2026

• Week 0: Course Introduction - Welcome, syllabus, AI/LLM policy, setup, and getting started
• Demo Lecture: Python & Data Analysis - Introduction to course structure and basic Python
• Week 1: Python Fundamentals - Variables, types, strings, lists, dictionaries, control flow, loops, and functions
• Week 2: Functions and Reusable Code - Advanced functions, error handling, file I/O, and object-oriented programming
• Week 3: NumPy and Basic Plotting - NumPy arrays, vectorized operations, matplotlib basics, and data visualization
• Week 4: Tabular Data & Pandas - Series and DataFrames, time series analysis, resampling, rolling windows, and aggregation
• Week 5: Multi-Dimensional Data with xarray - NetCDF files, DataArrays, Datasets, coordinate-based selection, climatologies, and gridded data analysis

More slides will be added throughout the semester

Course Materials

• Course Syllabus (PDF)
• IDE Setup Guide - Mac (PDF)
• IDE Setup Guide - Windows (PDF)

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ATOC 5860: Objective Data Analysis Laboratory

Fall 2025

Slides coming soon

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Creating Your Own Slides

These slides are created using Quarto with reveal.js. The source files (.qmd) can be found in the course GitHub repositories.

For Students

If you’d like to run the code examples from the slides:

1. Download the .qmd source file
2. Install Quarto
3. Render with: quarto render filename.qmd

Key Features

• Live code examples: Execute Python directly in slides
• Math equations: LaTeX support for atmospheric equations
• Interactive navigation: Arrow keys, overview mode (ESC), speaker notes (S)
• PDF export: Print to PDF for offline viewing