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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
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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
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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
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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
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