General Comments

1
General Comments

• In a presentation, you are telling a story
• Make the story short and succinct with only the
  minimum amount of material to make the story
  complete
• Is your story understandable without a speaker?
• Use color, different font sizes and graphics to
  bring your story alive, but avoid light colors on
  light backgrounds
• Always practice your presentation - know your
  slides inside and out!!
• Never read your slides verbatim!
• Rule-of-thumb one slide a minute requires some
  fast talking

2
Title of Presentation

• Names of Lab Partners

3
Overview

• Objective
• Background
• Theory
• Experimental Setup

• Experimental Procedure
• Results
• Uncertainty Analysis
• Conclusions

4
Objectives

• Include only key objectives
• Explain objectives to audience rather than
  reading them
• Be sure each objective is addressed in the
  results and conclusion slides
• You will be judged on how well you have met the
  objectives

5
Background

• Orient your audience to the problem
• Establish a common level of understanding
• Remember the technical level of your audience

6
Theory

• Summarize key equations and concepts
• Define variables that are not obvious to the
  audience

7
Experimental Setup

• Describe the experimental apparatus including the
  instrumentation used and the uncertainty
  associated with each instrument
• Use sketches and/or drawings of the setup

8
Experimental Procedure

• Briefly describe the experimental procedure
  either by listing the steps, or using a flow-chart

9
Experimental Results

• Use plots and tables to present your results
• Plots must be clear and appropriately labeled
  with a title and legend
• All experimental data must be shown with error
  bars
• Do not present raw data, only present data
  relevant to the objectives of the experiment

10
Experimental Results (cont.)

• Explain each plot by pointing out to the audience
  the important features of the data
• Explain how your results meet the objectives of
  the experiment

11
Uncertainty Analysis

• Summarize your uncertainty analysis
• Assess the main sources of error in your data

12
Conclusions

• Summarize key conclusions
• Link conclusions to the objectives of the
  experiment