Difference between revisions of "User:Lwebster"

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=== Week 3 (6/11/18-6/15/18) ===
 
=== Week 3 (6/11/18-6/15/18) ===
 
'''Overall Goal:''' Translate Matlab script to Python, explore the effects of different values of theta
 
'''Overall Goal:''' Translate Matlab script to Python, explore the effects of different values of theta
 +
* Learned basic Matrix operations in Python - vectors, matrices, multiplying, dividing, dot products, inverses, transposes
 +
* Learned basic graphs in Python - line plot, bar graph, histogram, scatter plot, stack plot, pie chart
 +
* Updated Paper Log
  
  

Revision as of 18:24, 11 June 2018

Personal Info

Lindsay Webster is a double major in Mathematics and Theatre Arts in the Honors Program at Marquette University. She will graduate in 2019. She is the Production Manager of Marquette's Helfaer Theatre, where she also serves as a performer and occasionally a set designer.

She recently made a probabilistic mathematical model to predict the winner of Best Musical at the annual Tony Awards. So if you're wondering how Mathematics and Theatre Arts combine, that's it.


Research Topic

Coupling Landslide Hazards

How Gaussian Stochastic Processes can be used to predict landslide behaviors.


Weekly Log

Week 1 (5/29/18-6/1/18)

Overall Goal: Clarify project topic, clear up any confusions on the previous reading, read a different take on Gaussian Stochastic Processes

  • Attended REU Orientation
  • Met Dr. Elaine Spiller and discussed previously assigned reading from the week before (Chapter 1-2,2 of Gaussian Processes for Machine Learning, C. E. Rasmussen & C. K. I. Williams)
  • Set up lab accounts and learned how to access the Wiki page
  • Learned about Library resources
  • Met with Dr. Elaine Spiller and was assigned new readings regarding Gaussian Stochastic Processes for the next week
  • Read about The Random Function (RF) Model (Jerome Sacks and William J. Welch)
  • Read about the Random Function Parameter Estimation, Prediction Uncertainty, and Diagnostics (Jerome Sacks and William J. Welch)
  • Read about Gaussian Stochastic Processes Designs (Jerome Sacks and William J. Welch)
  • Read about Uses of Random Function Models (Jerome Sacks and William J. Welch)
  • Read about Choosing a Random Function Model (Jerome Sacks and William J. Welch)


Week 2 (6/4/18-6/8/18)

Overall Goal: Explore Gaussian Matlab script in 1d and 2d, re-examine accomplishments and challenges and update weekly goals as needed, begin research paper

  • Reviewed all readings from last week
  • Began RCR Training - all 3 Modules completed
  • Watched educational videos on GaSP and took notes
  • Began research paper - created a journal-style format to write in as project develops
  • Received Gaussian Processes Matlab script from Dr. Elaine Spiller and wrote down any questions to be clarified
  • Attended REU Meeting in which proper presentation techniques were discussed
  • Downloaded Mudslide data to be utilized later
  • Met with Dr. Elaine Spiller to clarify project topic and questions. Plans set in place for future work. Weekly goals were reevaluated.
  • Downloaded Matplotlib in Python to learn graphing in Python
  • Began learning graphing and matrices in Python


Week 3 (6/11/18-6/15/18)

Overall Goal: Translate Matlab script to Python, explore the effects of different values of theta

  • Learned basic Matrix operations in Python - vectors, matrices, multiplying, dividing, dot products, inverses, transposes
  • Learned basic graphs in Python - line plot, bar graph, histogram, scatter plot, stack plot, pie chart
  • Updated Paper Log


Week 4 (6/18/18-6/22/18)

Overall Goal: Research landslide data, start coupling this information to Gaussian processes


Week 5 (6/25/18-6/29/18)

Overall Goal: Make progress in fitting the Gaussian processes to landslide simulations, prepare practice presentation


Week 6 (7/2/18-7/6/18)

Overall Goal: Fit the Gaussian processes to landslide simulations, begin project poster


Week 7 (7/9/18-7/13/18)

Overall Goal: Begin coupling the two models


Week 8 (7/16/18-7/20/18)

Overall Goal: Continue coupling the two models, finish project poster


Week 9 (7/23/18-7/27/18)

Overall Goal: Finish coupling the models, finish research paper


Week 10 (7/30/18-8/3/18)

Overall Goal: Prepare for final presentation