Difference between revisions of "The Art of Scientific Research"
From Research management course
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# Data-Driven Science and Engineering: Machine Learning, Dynamical Systems. and Control by S.L. Brunton and J. N. Kutz, 2019. | # Data-Driven Science and Engineering: Machine Learning, Dynamical Systems. and Control by S.L. Brunton and J. N. Kutz, 2019. | ||
# Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges by M.M. Bronstein, J. Bruna, T. Cohen, P. Veličković, 2021. [https://arxiv.org/abs/2104.13478 arxiv] | # Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges by M.M. Bronstein, J. Bruna, T. Cohen, P. Veličković, 2021. [https://arxiv.org/abs/2104.13478 arxiv] | ||
| + | # Deep Learning: Foundations and Concepts by C.M. Bishop, H. Bishop, 2024 [https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf version'06] | ||
==Cath-up== | ==Cath-up== | ||
Revision as of 20:52, 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
- (long reading 2196 pages) Algebra, Topology, Differential Calculus, and Optimization Theory for Computer Science and Machine Learning by Jean Gallier and Jocelyn Quaintance, 2024. pdf, github
- (fun reading) The Art of Scientific Investigation by W. I. B. Beveridge, 1957 pdf
- Data-Driven Science and Engineering: Machine Learning, Dynamical Systems. and Control by S.L. Brunton and J. N. Kutz, 2019.
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges by M.M. Bronstein, J. Bruna, T. Cohen, P. Veličković, 2021. arxiv
- Deep Learning: Foundations and Concepts by C.M. Bishop, H. Bishop, 2024 version'06
Cath-up
Check and develop your typing skills
Dates
Sat 9:30 – 10:50 zoom | Sept 7 14 21 28 | Now 5 12 19 26 | Oct 2 9 16 23 30 | Dec 7 14 21 28