Difference between revisions of "The Art of Scientific Research"
From Research management course
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== Main references == | == Main references == | ||
| − | + | # Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning by Jean Gallier and Jocelyn Quaintance, 2024. [https://www.cis.upenn.edu/~jean/math-deep.pdf pdf], [https://github.com/akhauriyash/MathForCS_ML github] (2196 pages) | |
==Cath-up== | ==Cath-up== | ||
Check and develop your [https://www.typingclub.com/sportal/program-3.game typing skills] | Check and develop your [https://www.typingclub.com/sportal/program-3.game typing skills] | ||
Revision as of 16:12, 13 August 2024
The Art of Scientific Research
This is a preparatory course for the main part of m1p.
The student's response-based syllabus
- We start
- Prepare your tools
- Check the foundations
- Describe your system
- Write the abstract
- Write the intro
- Review the paper
- Deliver a message
- Your one-slide talk
- Blind management game
- List your ideas
- List the foundations
- Suggest an impactful theorem
- Review for your topic
- Good, bad, ugly: tell the difference
- Tell about a scientific society
Similar courses
- Around
Main references
- Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning by Jean Gallier and Jocelyn Quaintance, 2024. pdf, github (2196 pages)
Cath-up
Check and develop your typing skills