1. Writing to an Audience
1.1 Figures, graphs, and diagrams.
1.2 Planning a paper.
1.3 Steps and stumbles.
1.4 Talking and writing.
2. Success and Opportunity
2.1 Proposals and business-start-up.
2.2 Some case studies.
2.3 Keep your work interesting: any creative thing.
2.4 Protecting intellectual property.
3. Choices and Revisions
3.1 Working in a group: how to decide.
3.2 Work statements and progress reports.
3.4 Adaptation rules, nothing starts perfect.
4. Key Ingredients
4.1 Effort and cooperation.
4.3 Peer review.
4.4 Finance: the business plan.
5. Economy First
5.1 First in a figure.
5.2 First in a report.
5.3 Last to keep first focussed.
5.4 Show it, don't tell it.
6.1 Learn from all, people the key ingredient.
6.2 Report to a manager, agree on completion.
6.3 Apportion the work.
6.4 Review each other.
7.2 Unify the parts.
7.3 Integrate visuals with text, append visuals.
7.4 Improve and clarify.
8. Create a Clean Professional Product
8.1 Check the spelling.
8.2 Check the titles.
8.3 Figures self-contained.
8.4 Index-like contents.
9. Visual and Dynamic Communication
9.1 Use of color and motion.
9.2 Be convincing by presenting what you did clearly.
9.3 Simple things: talk don't read, face forward.
9.4 Foster belief you are the best.
10. Making Your Mark
10.1 Paper or report as a proposal.
10.2 Use the person who knows the job the best.
10.3 Gauging your chances.
10.4 Completing the task to schedule.
11. Sample Visuals
See next page.
12. A Sample Paper
12.1 Excerpts from What We Learned About p and Why We Looked at a Slowly-Converging Infinite Product P
12.2 Excerpts from Data Structures in Gigabyte Systems
13. Continuing and Persevering
13.1 Creative Balance
13.2 Mastering Materials
13.3 Finessing an Unknown
13.4 Produce a Result, Make a Contribution
14.Networks, Randomness and Knowledge
(Data Structure Fundamentals and Basic Computing Concepts)
14.1 Software in Computer Networks
14.2 Creativity and Algorithmic Expression
14.3 Pseudorandom Computer Experiments - the Monte Carlo Method
15. Patterns in Data, Images and Language
15.1 Using Probability and Statistics
15.2 Criteria, Measures, Sets and Distances
15.3 Pattern Recognition Examples
15.4 Needs in Biomedical and Geophysical Pattern Processing and Classification
16. Extending Knowledge - Counting and Reckoning (with material on Several Cultures' Mathematical Innovations based on Joseph's The Crest of the Peacock -
Non-Western Roots of Mathematics)
16.1 Approximation and Orders of Magnitude
16.2 Rapid Reckoning based on Doerfler's Rapid Reckoning and Cutler's Trachtenberg Speed System of Basic Mathematics
16.3 Fractions ... and History
16.4 Number Systems ... and Computer Technology