Difference between revisions of "The Art of Scientific Research"
From Research management course
| Line 7: | Line 7: | ||
# Prepare your tools | # Prepare your tools | ||
# Check the foundations | # Check the foundations | ||
| + | # How to measure impact? | ||
# Describe your system | # Describe your system | ||
# Write the abstract | # Write the abstract | ||
| Line 21: | Line 22: | ||
# Tell about a scientific society | # Tell about a scientific society | ||
# Reproducible computational experiment | # Reproducible computational experiment | ||
| + | # Computer supported brainstorming | ||
| + | # Conferences and journals, review and schedules | ||
| + | # Writing a grant proposal | ||
==Scoring== | ==Scoring== | ||
Revision as of 18:07, 13 August 2024
The Art of Scientific Research
This is a preparatory course for the main part of m1p.
Contents
The student's response-based syllabus
- We start
- Prepare your tools
- Check the foundations
- How to measure impact?
- 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
- Reproducible computational experiment
- Computer supported brainstorming
- Conferences and journals, review and schedules
- Writing a grant proposal
Scoring
- Tests at the beginning of a seminar
- Talks at the end of a seminar
- Downloads of the homework
- The coursework
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