2024 SEMINAR INFORMATION
Lectures will be held weekly, with the same lecture taught once on a weekday and once during the weekend
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Lectures will last 2 hours typically
DATES
Jan 22nd through May 26th, 2024
DAYS & TIMES
Wednesdays 4pm6pm PT / 7pm9pm ET
Saturdays 10am12pm PT/ 1pm3pm ET
REGISTRATION DEADLINE
Apply by December 8th, 2023
to be a 2024 CRANE scholar
2024 SCHEDULE
Part I: Introduction to Python
Jan 22nd to Feb 16th, 2024
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Learn Python basics in preparation for Part II including variables, loops, and functions. Each class will be taught twice.
Part II: Numerical Methods
Feb 20th to March 22nd, 2024
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Learn how to build basic physics simulations from scratch, using numerical integration, finite difference methods, etc.
Part III: Supplementary Skills (Optional)
March 25th to April 5th, 2024
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Learn practical skills for a scientific workflow including LaTeX, using the Terminal, and Git. This time can also be used as a break for students who would rather have the time off.
Part IV: Advanced Algorithms
April 8th to May 26th, 2024
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Advanced topics including signal and image processing, particleincell codes, astronomy data analysis and Monte Carlo simulations will be taught during parallel multiweek seminar sessions
SEMINAR SYLLABUS
Part I
Introduction to Python
January 22nd to February 16th, 2024
Week 1
Introduction to Python I: Syntax, Variables, and Arrays
Week 2
Introduction to Python II: Loops, Functions, and Plotting
Week 3
Introduction to Python III: Data Analysis and Visualization
Week 4
Review session and mini project
Part II
Numerical Methods
February 20th to March 22nd, 2024
Week 5
Numerical Differentiation and Discretization: Euler's Method
Solve & evolve basic mechanics problems with Euler's method
Week 6
Numerical Differentiation and Discretization: RungeKutta Method
Solve & evolve the same mechanical systems as last week with a new method
Week 7
Solving Complex Physics Problems with Builtin Python Solvers
Use Python's RungeKuttabased solvers to launch a rocket and evolve a planetary system with Kepler's laws
Week 8
1D Finite Difference Method
Solving Poisson's Equation in 1D: Electrostatics, Diffusion, and Heat Transfer
Week 9
The Fast Fourier Transform (FFT)
Doing Fourier transforms of 1D and 2D data, how to filter signals with FFT spectra
Part III (Optional)
Supplemental Skills
March 25th to April 5th, 2024
LaTeX
LaTeX is a software for preparing nicely formatted documents, typically scientific papers, resumes or presentations. Learn the basics of this extremely useful tool for making extremely nicely formatted papers, typesetting equations and vastly simplifying making bibliographies.
Terminal
The Terminal is a prompt where commands can be entered to navigate around one's operating system and perform many tasks. Learn basics of Bash, the language of the terminal, and how to feel like a hacker in the movies by remotely logging in to a computer.
Git
Git is a system of managing files and code that allows users to track versions of each file. Learn about managing a coding project with the basic commands of Git.
Part IV
Advanced Algorithms
April 8th to May 26th, 2024
Advanced algorithms will be taught in seminar series of up to 5 weeks, with some tracks running in parallel and some staggered to allow students to participate in multiple tracks.
Monte Carlo (MC) Track
April 13th, 20th, 27th, & May 1st

Exploring randomization through miniprojects to grasp concepts of Monte Carlo

Solving an actual math problem using Monte Carlo

Applying Monte Carlo to neutronics of a barebones nuclear fission reactor

Optional buffer week to help complete unfinished projects from Weeks 13
Signal and Image Processing (SIP) Track
April 13th, 20th, 27th & May 1st

Analysis and ModelFitting of Langmuir Probe Data

Advanced signal filtering Techniques

Modelfitting for plasma density for Laser Interferometry Data

Tracking a feature across multiple image frames
Magnetohydrodynamics with FLASH
April 10th, 17th, 24, May 1st & 8th

What is FLASH, how to get it, and how to use it

The Sedov and Sod shock tube problems and how to make simple changes to the FLASH code

The double mach reflection problem and how to create boundary conditions

Magnetic reconnection and how to define parameters

Laserslab test problem
Particle in Cell (PiC) Track
Starts week of May 8th

Introduction to Julia and Euler's and Boris Push Method to solve Newton's Equations for a charged particle (cyclotron motion)

1D & 2D Finite Difference Method for Electrostatics and Magnetostatics

ParticleinCell Algorithm

Putting it all together (Penning Cell, Magnetic Mirror)
Astronomy Data Analysis (ADA) Track
Starts in May

Astro APIs, Advanced Plotting, and an Astronomer’s Toolbox!

Introduction to Machine Learning for Astronomers

Nuts & Bolts of Astronomical Observations: Photometry + Spectroscopy
Machine Learning
Starts in May

Linear and Logistic Regression

Gradient Descent

Neural Networks