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Critical thinking1: Killer apps
- Lecturer: Prof. Jari Porras
- Assistant: nn
- Books:
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)
- Chapter 1, Alejandro Antillon big_data._chapter_1.pdf
- Chapters 2, More: Markus Salminen slides
- Chapter 3, Messy:Behnaz Norouzi & Francis Matheri big-data-chapter3.ppt
- Chapter 4, Correlation: Kalle Koponen slides
- Chapter 5, Datafication: Niko Sipola big_data_-_datafication_niko_sipola_.pptx
- Chapter 6, Value: Juri Pesonen slides
- Chapter 7, Implications: Veronika Höök big_data_chapter_7_implications_veronika_hook.pptx
- Chapter 8, Risks: Eero Nieminen slides
- Chapter 9, Control: Juhana Repo & Enrique Batani big_data_control_chapter_9.pptx
- Chapter 10, Next: Pete Hyrkäs Big Data Chapter 10: Next by Pete
Day 2 - 13.3. 11.30-15.30 room 2411
Book: Killer Apps
- Pages 0-91
Presenters
- Pages: 0 - 28 Chapter: “Introduction: A Road Map for corporate Innovation” Students: Enrique Batani,Alejandro Antillon killer_apps_introduction_road_map.pdf
- Pages: 28 - 82 Chapter: “PHASE ONE: THINK BIG”:
- Rule 1: Context is Worth 80 IQ points: Niko Sipola phase_1_-_context_is_worth_80_iq_points_niko_sipola_.pptx
- Rule 2: Embrace Your Doomsday Scenario: Veronika Höök Rule 2
- Rule 3: Start with a Clean Sheet of Paper: Francisrule3_clean_sheet_of_paper.pdf
- Case Study: Carmakers Must Take a New Road: Timo Ruokolainen & Ilpo Hiienkoski carmakers_must_take_a_new_road.pptx
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: Behnaz Norouzi rule4.pptx
- Rule 5: Get Everyone on the Same Page: Eero Nieminen slides
- Rule 6: Build a Basket of Killer Options: Kalle Koponen slides
- Case Study: Auto Insurance in a World Without Accidents: Anna Osipova car_insurance.pdf
- Pages: 130 - 171 Chapter: “PHASE THREE: LEARN FAST” :
- Rule 7: A Demo Is Worth a Thousand Pages of a Business Plan: Juri Pesonen rule7_demos2.pdf
- Rule 8: Remember the Devil's Advocate: Juhana Repo rule_8_juhana_repo.pptx
- 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)
- Ethics in/of big data (before 3rd day)
Group homeworks
- Create groupwise definition for big data (before second day) Big data definition
- Using big data for innovation (before 3rd day) Big data and innovation
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 final_presentation_-_the_new_killer_apps.pptx
- Divide x*10 points among course participant (x=number of people in the course) killerapps_points.pdf
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
Possible group session on Tuesday 24th of March at 17-19. Check your LUT e-mail!