Oral Presentations what makes a good talk
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Oral Presentationswhat makes a good talk
Computer Science Research Practicum
Fall 2012Andrew Rosenberg
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Oral Presentations• Who is the audience?• What is the purpose?• How to deliver a talk?• What should you put in a talk?
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Who is the audience for an oral presentation?
• Family and friends• A boss• Other administrators• A potential client• A potential funding agency• A professor/advisor• A colleague
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Venues for Oral Presentations• Research Conferences• Lab Talks• Invited Talks• Job Talks• Keynote Presentations• (Guest Lecturing in) Courses
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You are television.
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What is not the purpose of your talk
• Complete and thorough understanding of the material.– Even if you are teaching.
• To show how smart you are.– from Liang’s slides
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What is the purpose of your talk• Convey enough information
– to give an accurate impression and intuition
– to convince them that they want to know more
• Share your perspective on this topic.
• Inspire
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Content – What goes in your talk?
• Motivation• Expectations• Use of Humor• Technical Detail• Examples, Examples, Examples• Be visual
– or at least simple
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Presenting a Talk
• “You walk in, plant yourself squarely on both feet, look the other fella in the eye and tell the truth.” – James Cagney
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Presenting a Talk
• You will be nervous
• You will feel more nerves than you show.
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Presenting a Talk• Your experience of time is different
than your audience.
• 20 minutes will feel like a blink.
• 1 minute can feel like an hour.
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How much material?
• Maximum 1 slide per minute.
RULE OF THUMB
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How much material?
• Have extra slides ready for questions.
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Presenting a Talk
• Know what your next slide is.
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Presenting a Talk
• Intonation Matters.
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Presenting a Talk
• Be on time.
• “should I go on?”– The answer is NO.– but no one will say it. (Thanks Liang)
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Be ready for questions
• Be gracious
• Be prepared
• Do NOT be afraid to say “I don’t know”– Being wrong will make you look worse.
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Use of humor• Tell jokes.
– If you are funny.– Not too many.– They must be topical.
• Liang says 3– One at the start to engage the audience– One in the middle to bring them back– One at the end to leave them happy
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What goes on a slide?• Structure for you and your audience• Text Notes
• Visual Aids
• Data
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Notes for yourself• Avoid the easy practice of writing down exactly what you
want to say. • This will lead to a boring talk.• Your audience will read along with you, or sometimes
ahead of you.• They will not listen to what you are saying.• It is better to give yourself a couple of high level notes
that remind you and your audience where you are.• This is enough. • If it is not enough, you are not prepared.• Also, slides like this are visual overload on your
audience.• It looks like a big block of text.
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Impression is not a lack of Detail• Be specific about the contribution.
• Even if people won’t completely get it by the time the talk is over.
• Don’t be vague or overly broad.
What did you do and Why do I care?
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Visual Aids
• Flow charts.
• Examples.
• Animations.– sparingly
Text Documents
Feature Extraction
Classifier Training
Gather Feedback from Users
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Data• Only include data that you want to
talk about.
Baseline My System61% 80%
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Data• Only include data that you want to
talk about.
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Charts and Graphs• Column/Bar Charts = Categorical X
axis• Line Charts = Continuous X axis
100 110 120 130 140 150 160 170 180 190 20040
45
50
55
60
65
70
HDL (mg/dL)
100 110 120 130 140 150 160 170 180 190 2000
10203040506070
HDL (mg/dL)
weight (lbs) weight (lbs)
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Charts and Graphs• Column/Bar Charts = Categorical X
axis• Line Charts = Continuous X axis
weight (lbs) weight (lbs)
Men over 50 Men under 50 Women over 50
Women under 50
01020304050607080
HDL (mg/dL)
Men over 50 Men under 50 Women over 50
Women under 50
01020304050607080
HDL (mg/dL)
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Example Talk• Title Slide – 1 slide• Problem Statement – 1* slide • Outline• Motivation of your Approach – 1-2 slides• Describe your Approach – 1+ slides• Experimental Results – 1+ slides• Discussion – 1+ slides• Conclusion - 1 Slide• Future Work - 1 Slide• Thanks and Questions – 1 Slide
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Example (bad) Outline (20 min talk)
• The problem.• Why Algorithm is important.• My Algorithm• Experimental Results • Discussion• Conclusion• Future Work
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Example Outline (3 hr talk)• Preliminary Material [30]• Techniques for Prosodic Analysis [75]• AuToBI for Prosodic Analysis [30]• Applications of Prosodic Analysis [45]
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Practice• Take opportunities to give more talks.
– (Even though you hate it)
• Go to more talks– (Even though you don’t know about the
topic)
• Recognize what you like about good talks– and steal it!
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Practice
• Then practice more.