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1 Presentation Xavier DÉFAGO (professor) Tokyo Institute of Technology School of Computing

2 Presentation What For?

3 3

4 Identify the Key Idea 220µF - 100n 100n 1000µF 1000µF 1000µF AN5/Di19 AN4/Di18 78R05 AN3/Di17 AN2/Di16 AN1/Di15 47µF AN0/Di14 1k Build an Argument Context Needs Problem An7 An6 An5 An4 An3 An2 An1 An0 Form the Story storyboard Design Deliver 4

5 Storyboard Presentation Design Delivery 5

6 Storyboard

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13 Presentation Components Overview What is the presentation about? give motivating example Overview Related Work state your message Problem Statement Contribution Assessment Conclusion 13

14 Presentation Components Related Work What did other do so far? explain related results Overview Related Work Problem Statement Contribution Assessment Conclusion 14

15 Presentation Components Overview Problem Statement define your problem state your message Related Work Problem Statement Contribution Assessment Conclusion 15

16 Presentation Components Overview Related Work Contribution present your methodology Problem Statement Contribution present your main results Assessment Conclusion 16

17 Presentation Components Overview Related Work Problem Statement Assessment evaluate your results Contribution Assessment analyze Conclusion 17

18 Presentation Components Overview Related Work Problem Statement Contribution Conclusion summarize your results Assessment Conclusion state your message 18

19 Presentation Design

20

21

22 ウーム わかる がんばっているのはわかる でも なんと言っていいか 声も出ない

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29 Short/Simple/Legible

30 Signal / Noise 30

31 Signal / Noise 31

32 Signal / Noise 32

33 Signal / Noise 33

34 Signal / Noise 34

35 Signal / Noise 35

36 Signal / Noise 36

37 Signal / Noise 37

38 Contrast 38

39 Contrast Color Size Font 39

40 Contrast (Color) HSV color model 40

41 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 41

42 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 42

43 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 43

44 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 44

45 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 45

46 Contrast (Color) Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast Contrast 46

47

48

49

50 Data Representation

51 Signal / Noise 51

52 Signal / Noise 52

53 Signal / Noise 53

54 Guidelines for Charts Min. Effort for Reader most important aspect how much effort to understand? Example Response Time A B C legend box System Load eg., eg., direct labeling axes labels Daily CPU usage include units Response Time CPU [seconds] C 54 B A System Load

55 Guidelines for Charts Use Accepted Practice Idea: present what people expect People expect: origin at (0,0) independent variable (cause) along x-axis dependent variable (effect) along y-axis linear scale scale increasing left -> right (and bottom -> top) scale divisions to be equal 55

56 Guidelines for Charts Avoid Ambiguity Show coordinate axis, scale divisions, origin Identify individual curves Avoid potential source of misunderstanding Response Time A B System Load 56

57 Common Mistakes Many Variables on One Chart saves space, but harder to read. => message lost better: three different graphs Utilization [%] Throughput [s -1 ] Response Time [ms] Throughput Utilization Response Time Too many variables Number of users 57

58 Common Mistakes Symbols in Place of Text symbols => readers must search text saves writers time readers... or not?! skip => writer's time wasted R µ = 1 µ = 2 Response time 1 job/sec 2 jobs/sec µ = 3 λ 3 jobs/sec Arrival Rate 58

59 Common Mistakes Line Chart in Place of Column Chart joining points on line chart => intermediate values can be interpolated MIPS CPU type 59

60 Pictorial Games Nonzero Origin emphasize or conceal the difference Mine Mine 2625 Yours Yours

61 Pictorial Games Double-Whammy Graph exaggerate impact Throughput Response time Number of users 61

62 Pictorial Games Random Quant. w/o Confidence Interv. hides variability of the information Mine Mine Yours Yours 62

63 Pictorial Games Pictograms Scaled by Height exaggerates the difference Mine Performance = 2 Yours Performance = 1 63

64 Pictorial Games Inappropriate Cell Size in Histograms possible loss of information Frequency [0,2[ [2,4[ [4,6[ [6,8[ [8,10[ [10,12[ Frequency [0,6[ [6,12[ Response time [ms] Response time [ms] 64

65 Pictorial Games Broken Scales in Column Charts exaggerate difference same as nonzero origin Response time [ms] Response time [ms] A B C D E F 0 A B C D E F System System 65

66 Delivery

67

68

69 Important Points Be Present Be Clear Be Receptive Be Confident 69

70 Summary

71 Summary General presentation = communication identify the key idea Structure make storyboard Design signal / noise Delivery be present & clear 71

72 PresentationZen by Garr Reynolds 72

73 PowerPoint ( ) 73

2

2 2011 8 6 2011 5 7 [1] 1 2 i ii iii i 3 [2] 4 5 ii 6 7 iii 8 [3] 9 10 11 cf. Abstracts in English In terms of democracy, the patience and the kindness Tohoku people have shown will be dealt with as an exception.

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