Class Notes (Presentations)

Nikita, Aver, Anshul, Ishan: Debugging Maternity


  • group demographic
  • personal experience
  • equality in industry
  • evolution of the tech industry


  • 3 episode podcast
  1. breaking the maternal wall
  2. going worldwide
  3. the struggle to juggle (balance of software industry with parental responsibility)

question: How do varying maternity leave policies in tech companies have different impacts on women’s careers and family life around the world?


  • large companies have better support
  • foreign countries (such as Sweden) have support programs


  • time
  • specificity
  • bias

research areas:

  • scholarly articles
  • management and business publicans
  • peer-reviewed journalism

Since I am going into the software and programming industry, this project was quite interesting to see. I thought the part on how different sized businesses and different countries and their different policies was quite interesting, and also somewhat unfortunate since people can’t exactly choose either of those aspects of their job.

Noah: Software Instruments


  • mentor had distaste in software editing

outcome: record a software version and a “real” version


  • no clipping
  • -11 to -14 dBFS normalized volume


  • found a partial favorability to the live version, partially split
  • people could tell which one was which
  • live version had better stereo seperation


  • final tracks, findings from survey in blog post

This project is quite interesting to me since I’ve always wanted to make music, but never really had much experience with many instruments. This project shows that both digital and “real” music can be made quite well, and with some modifications, both could be very close or identical. I guess it shows that I don’t need a ton of musical “talent” to make music, which is nice.

Siddhant: Sports Analytics

audience: educators, then acedemics

goal: find a means in sports to improve youth engagement in STEM education

research methods: survey (primary), research articles, TedX talks

survey findings:

  • 50/50 on curiosity on math behind sports analytics
  • believe analytics could improve youth stem


  • lack of data (19 responses)
  • time/motivation


  • podcast: introduction episode, answering questions

This one seems to go back into the category of having the younger generation get interested in something so in the future they continue it. In this case, it joins two things that many people going into to sports don’t think about: performance and analytics. I often saw sports as something un-linked to technology until I saw more of the technical side later in high school, by bringing this to younger athletes it could really bring people together from the technical side and the sports side.

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