Difference between revisions of "User:JSailor"

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(Week 1:)
(Work Log (2021))
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*Discussed the project with mentor Dr. Praveen Madiraju
 
*Discussed the project with mentor Dr. Praveen Madiraju
 
'''Thursday (6/3)'''
 
'''Thursday (6/3)'''
*Attend Talk on Good Research Practice by Dr. Dennis Brylow
+
*Attended Talk on Good Research Practice by Dr. Dennis Brylow
 
*Learned about Wiki and updated my Summer 2021 project and my page
 
*Learned about Wiki and updated my Summer 2021 project and my page
 
*Set milestones and goals for the project duration
 
*Set milestones and goals for the project duration
*Consolidate question for a future meeting on project
+
*Consolidated question for a future meeting on project
 
*Started research
 
*Started research
 
'''Friday (6/4)'''
 
'''Friday (6/4)'''
*
+
*Studied literature focusing on the results of Lifestyle Medicine with prevention of target conditions
  
 
===Week 2:===
 
===Week 2:===

Revision as of 20:39, 4 June 2021

About me

My name is Jennifer Sailor. I am a senior at Lindenwood University in St. Charles, Missouri pursuing a Bachelor of Science in Data Science and a Minor in Mathematics. My mentors are Ms. Olga Kozlova & Dr. Praveen Madiraju for the Summer 2021 REU. The research topic is Predict Likelihood of Completion for Future Lifestyle Medicine Program.

Work Log (2021)

Week 1:

Tuesday (6/1)

  • Meet with REU students and mentors
  • Attend REU Orientation
  • Attend Data Science Boot Camp Day 1 by Dr. Praveen Madiraju

Wednesday (6/2)

  • Attend Data Science Boot Camp Day 2 by Dr. Praveen Madiraju
    • NLP Introduction by John Fields
  • Discussed the project with mentor Dr. Praveen Madiraju

Thursday (6/3)

  • Attended Talk on Good Research Practice by Dr. Dennis Brylow
  • Learned about Wiki and updated my Summer 2021 project and my page
  • Set milestones and goals for the project duration
  • Consolidated question for a future meeting on project
  • Started research

Friday (6/4)

  • Studied literature focusing on the results of Lifestyle Medicine with prevention of target conditions

Week 2:

Week 3:

Week 4:

Week 5:

Week 6:

Week 7:

Week 8:

Week 9:

Week 10: