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Critical thinking1: Killer apps

Seminar group

Seminar days

Day 1 - 19.2. 8.30-11.30 room 2411

Book: Big data (whole book)

Presenters (students should add these here)

Day 2 - 13.3. 11.30-15.30 room 2411

Book: Killer Apps

  • Pages 0-91

Presenters

Day 3 - 26.3. 8.30-11.30 room 2411

Book: Killer Apps

  • Pages 92-

Presenters

  • Pages: 82 - 130 Chapter: “PHASE TWO: START SMALL” :
    • Rule 4: First, Let's Kill All the Finance Guys: (student)
    • Rule 5: Get Everyone on the Same Page: (Eero Nieminen)
    • Rule 6: Build a Basket of Killer Options: (Kalle Koponen)
    • Case Study: Auto Insurance in a World Without Accidents: (student)
  • Pages: 130 - 171 Chapter: “PHASE THREE: LEARN FAST” :
    • Rule 7: A Demo Is Worth a Thousand Pages of a Business Plan: (Juri Pesonen)
    • Rule 8: Remember the Devil's Advocate: (student)
    • Case Study: Are Hospitals DOA? & Conclusion: (student)

Homeworks

Personal homeworks

  • Create your own wiki page
  • Define big data and add links to those 3 documents you have used for defining it (before first day)

Group homeworks

  • Create groupwise definition for big data (before second day)

I’d define big data from 2 different perspectives

1) Compared to “small data” and “small data processing”

   a.	The heterogeneity and the big amount of big data makes traditional database tools insufficient in processing the data.
   b.	Big data is high-volume, high-velocity and high-variety (the 3 V's) information assets.

2) A new way of thinking things

    o	“Big data refers to things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value, in ways that change markets, organizations, the relationship between citizens and governments, and more.” Applying math to huge quantities of data in order to infer probabilities. [Big Data book] 
    o	A movement from causality to correlations: A new way of doing science.

Final works

  • Provide your coursera course diploma to the lecturer
  • Create 4 exam questions representing the course contents. Explain why the question is good.
  • Grade the presentations
  • Answer to the course questionaire
  • As a group prepare the final presentation of your group to the final presentation
  • Divide x*10 points among course participant (x=number of people in the course)

Extra work for people who missed lectures

  • If you missed lectures you need to provide short reviews (1/2 page each) of all those chapters we went through that lecture time.

Extra work for those who did not get the coursera diploma

  • Critical thinking and argumentation - look for web based material into this topic (that we could possibly use in this course) and provide a summary how the critical thinking and argumentation part implemented like that could help in the discussion part of our seminar course.

Behnaz Norouz i

Groupwise working area

In the Big Data books' first chapter “Now” (under More, messy, good enough) there is an intro to the contents of the book. There you can find what is included inside, if you haven't yet read the whole book and choosing what to present:

https://docs.google.com/document/d/1D-UmtcZ2dtolHx8RpErbehjWs_vNd0Oc3H5buNpq7qY/pub