Transcript Oral Presentations what makes a good talk Computer Science Research Practicum Fall 2012 Andrew Rosenberg.

Oral Presentations
what makes a good talk
Computer Science
Research Practicum
Fall 2012
Andrew Rosenberg
Oral Presentations
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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?
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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
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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?
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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?
RULE OF THUMB
• Maximum 1 slide per minute.
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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.
Text Documents
• Examples.
Feature Extraction
• Animations.
Classifier Training
– sparingly
Gather Feedback
from Users
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Data
• Only include data that you want to talk
about.
Baseline
61%
My System
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
HDL (mg/dL)
HDL (mg/dL)
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100 110 120 130 140 150 160 170 180 190 200
weight (lbs)
100 110 120 130 140 150 160 170 180 190 200
weight (lbs)
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Charts and Graphs
• Column/Bar Charts = Categorical X axis
• Line Charts = Continuous X axis
HDL (mg/dL)
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HDL (mg/dL)
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Men over 50 Men under 50 Women over Women under
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weight (lbs)
Men over 50 Men under 50 Women over Women under
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weight (lbs)
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Example Talk
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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)
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The problem.
Why Algorithm is important.
My Algorithm
Experimental Results
Discussion
Conclusion
Future Work
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Example Outline (3 hr talk)
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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.
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Thanks
• Questions?
[email protected]
http://speech.cs.qc.cuny.edu
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