- Management / Leadership
- Self Management
The probably most important aspects are summarised in Leo Babauta “Zen To Done“. Other keywords to search for include: Personal Kanban, Pomodoro Technique, Eating the Frog, Eisenhower Matrix, GTD, …
- Being more efficient: David Allen “Getting Things Done“
- Being more effective: Stephen R. Covey “The 7 Habits of Highly Effective People“
- Being more focused: Cal Newport “Deep Work” and Gary Keller “The One Thing“
- Being more energized: Jake Knapp, John Zeratsky “Make Time“
- Being more performing: Fredmund Malik “Managing Performing Living“
- Being more Zen: Leo Babauta „Essential Zen Habits: Mastering the Art of Change, Briefly“
- Being a better coder: Robert C. Martin “Clean Code“
- Being a better presenter
- Nancy Duarte “Slide:ology“
- Garr Reynolds “Presentation Zen” and “Presentation Zen Design“
- Dan Roam “The Back of the Napkin“
- Chip Heath “Made to Stick“
- Robin Williams “Design und Typografie” (German)
- Free article: “10 Tips for Designing Presentations That Don’t Suck“
- Free video: “Don McMillan: Life After Death by PowerPoint”
- Free video: “Conor Neill: How to start a speak”
- Sophisticated LaTeX templates
- General scientific structure for publications (borrowed from “Tipps zum Schreiben von Konferenzpapieren“)
- Title (1 sentence): core contribution
- Abstract (~7 sentences): context, problem, related work, own approach, evaluation, results, outlook
- Introduction (~8 paragraphs): context, problem, related work, own approach, evaluation, results, main contribution, structure
- Structure (~6 sections): introduction, related work, own approach, evaluation, summary and outlook, references
- Context: broadly, what is problem area, why is it interesting and important?
- Problem: what is problem we specifically consider, why is it hard? (e.g., why do naive approaches fail?)
- Related Work: Survey past work relevant to this thesis. Why hasn’t it been solved before (related work)? Or, what’s wrong with previous proposed solutions?
- Own approach: What are the key components of our approach and how does it differ to related work?
- Evaluation: What are the (expected) results and how will we have validated them?
- Result: the (expected) scientific surplus value and outlook
- Web Articles
- Discussion on Ph.D. theses proposals in computing science (PDF)
- The illustrated guide to a Ph.D.
- Writing Technical Articles
- How to Succeed in Graduate School: A Guide for Students and Advisors (PDF)
- How to do Research At the MIT AI Lab (PDF)
- Computing as a Discipline (PDF)
- Gut schreiben, aber wie? (German, PDF)
- Reading papers: SQ3R
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