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courses:ct60a7000:spring2015:killerapps [2015/03/13 06:39]
j3325
courses:ct60a7000:spring2015:killerapps [2016/01/13 12:52] (current)
trappis [Seminar group]
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   * [[courses:​ct60a7000:​spring2015:​1:​VeronikaHook|VeronikaHook]] ​   * [[courses:​ct60a7000:​spring2015:​1:​VeronikaHook|VeronikaHook]] ​
   * [[courses:​ct60a7000:​spring2015:​1:​IlpoHiienkoski|IlpoHiienkoski]]   * [[courses:​ct60a7000:​spring2015:​1:​IlpoHiienkoski|IlpoHiienkoski]]
 +  * [[courses:​ct60a7000:​spring2015:​1:​JariPorras|Jari Porras]]
  
 ==== Seminar days ==== ==== Seminar days ====
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   * Chapter 8, Risks: Eero Nieminen {{:​courses:​ct60a7000:​spring2015:​big_data_risks.pdf|slides}}   * Chapter 8, Risks: Eero Nieminen {{:​courses:​ct60a7000:​spring2015:​big_data_risks.pdf|slides}}
   * Chapter 9, Control: Juhana Repo & Enrique Batani {{:​courses:​ct60a7000:​spring2015:​big_data_control_chapter_9.pptx|}}   * Chapter 9, Control: Juhana Repo & Enrique Batani {{:​courses:​ct60a7000:​spring2015:​big_data_control_chapter_9.pptx|}}
-  * Chapter 10, Next: Pete Hyrkäs ​& Anna Osipova ​{{:​courses:​ct60a7000:​spring2015:​big_data_chapter_10.pptx|Big Data Chapter 10: Next by Pete}}+  * Chapter 10, Next: Pete Hyrkäs {{:​courses:​ct60a7000:​spring2015:​big_data_chapter_10.pptx|Big Data Chapter 10: Next by Pete}}
  
  
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 Presenters ​ Presenters ​
   * Pages: 82 - 130 Chapter: "PHASE TWO: START SMALL" :   * Pages: 82 - 130 Chapter: "PHASE TWO: START SMALL" :
-      * Rule 4: First, Let's Kill All the Finance Guys: (student) +      * Rule 4: First, Let's Kill All the Finance Guys: Behnaz Norouzi {{:​courses:​ct60a7000:​spring2015:​rule4.pptx|}} 
-      * Rule 5: Get Everyone on the Same Page: (Eero Nieminen) +      * Rule 5: Get Everyone on the Same Page: Eero Nieminen ​{{:​courses:​ct60a7000:​spring2015:​rule_5.pdf|slides}} 
-      * Rule 6: Build a Basket of Killer Options: ​(Kalle Koponen) +      * Rule 6: Build a Basket of Killer Options: Kalle Koponen ​{{:​courses:​ct60a7000:​spring2015:​kalle-koponen-killer-apps-rule6.pptx|slides}} 
-      * Case Study: Auto Insurance in a World Without Accidents: ​(student)+      * Case Study: Auto Insurance in a World Without Accidents: ​Anna Osipova {{:​courses:​ct60a7000:​spring2015:​car_insurance.pdf|}}
  
   * Pages: 130 - 171 Chapter: "PHASE THREE: LEARN FAST" :   * Pages: 130 - 171 Chapter: "PHASE THREE: LEARN FAST" :
-      * Rule 7: A Demo Is Worth a Thousand Pages of a Business Plan: (Juri Pesonen) +      * Rule 7: A Demo Is Worth a Thousand Pages of a Business Plan: Juri Pesonen ​{{:​courses:​ct60a7000:​spring2015:​rule7_demos2.pdf|}} 
-      * Rule 8: Remember the Devil'​s Advocate: ​(student) +      * Rule 8: Remember the Devil'​s Advocate: ​Juhana Repo {{:​courses:​ct60a7000:​spring2015:​rule_8_juhana_repo.pptx|}} 
-      * Case Study: Are Hospitals DOA? Conclusion: (student)+      * Case Study: Are Hospitals DOA? Conclusion: (student)
 ==== Homeworks ==== ==== Homeworks ====
 === Personal homeworks === === Personal homeworks ===
   * Create your own wiki page   * Create your own wiki page
   * Define big data and add links to those 3 documents you have used for defining it (before first day)   * Define big data and add links to those 3 documents you have used for defining it (before first day)
 +  * Ethics in/of big data (before 3rd day)
  
 === Group homeworks === === Group homeworks ===
-  * Create groupwise definition for big data (before second day) +  * Create groupwise definition for big data (before second day) [[https://​docs.google.com/​presentation/​d/​1nPeKyDg4bI0dE73VXW_l4oQ_bjVRzLidTG_afMQd-7U/​edit#​slide=id.p4|Big ​data definition]] 
-I’define big data from 2 different perspectives +  * Using big data for innovation ​(before 3rd day[[https://​docs.google.com/​presentation/​d/​1uOgJRdBNUZR6I4ghuquJvdn2F0npIlSNVkL5URBUmJo/​edit#​slide=id.p4|Big data and innovation]]
- +
-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'sinformation 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.+
  
  
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   * Grade the presentations   * Grade the presentations
   * Answer to the course questionaire   * Answer to the course questionaire
-  * As a group prepare the final presentation of your group to the final presentation +  * As a group prepare the final presentation of your group to the final presentation ​{{:​courses:​ct60a7000:​spring2015:​final_presentation_-_the_new_killer_apps.pptx|}} 
-  * Divide x*10 points among course participant (x=number of people in the course)+  * Divide x*10 points among course participant (x=number of people in the course) ​{{:​courses:​ct60a7000:​spring2015:​killerapps_points.pdf|}}
  
 === Extra work for people who missed lectures === === Extra work for people who missed lectures ===
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   * 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.   * 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 Behnaz Norouz
-i==== Groupwise working area ==== +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+[[courses:ct60a7000:​spring2015:​killerapps:​groupgeneral|General group planning area]]
  
 +Possible group session on Tuesday 24th of March at 17-19. Check your LUT e-mail!