locsec/critical-thinking
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Код Задачи Запросы на слияние Действия Пакеты Проекты Релизы Вики Активность

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Этот коммит содержится в:
Aj Fontana 2023-12-13 10:01:34 -08:00
родитель 7901a772bd
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course_outline/README.md
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125. [Rational Flaneur](https://rationalflaneur.com/)
126. [The Intrinsic Perspective](https://www.theintrinsicperspective.com/)
127. [ehrmanblog](https://ehrmanblog.org/)
128. [forbetterscience](https://forbetterscience.com/)
129. [Statistical Modeling, Causal Inference, and Social Science](https://statmodeling.stat.columbia.edu/)
130. [Data Colada](https://datacolada.org/)
131. [Richard Gill](https://gill1109.com/?amp=1) [Statistics](https://www.math.leidenuniv.nl/~gill/)
</details>

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course_outline/course14-Religious Studies/religious studies/README.md
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66. [Phillip R Davies](https://en.wikipedia.org/wiki/Philip_R._Davies)
67. [Ronald S Hendel](https://www.biblicalarchaeology.org/scholar/ronald-s-hendel/)
68. [Hugo Mendez](https://www.hugomendez.com/)
69. [Richard C Miller](https://www.routledge.com/authors/i7783-richard-miller)
70. [Matthew Monger](https://biblemonger.com/about)
71. [Kipp Davis](https://independent.academia.edu/KippDavis)
72. [Tyler Vela](https://rts.academia.edu/TylerVela)
## Methods

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course_outline/current_learning.md
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# Learning Path
## Definitely Enroll
1. [Model Thinking](https://www.coursera.org/learn/model-thinking)
## Review of Fundamentals
1. [Set Theory and Logic Lectures](https://youtube.com/playlist?list=PLPgKBibhNh73rAqxIaltEHw-qwMJISwOL&si=-pqXp3ibEgDE1w7Y)
2. [UML Diagrams for Beginners](https://youtube.com/playlist?list=PLJlDQmEdjHZYrtdwL0SHZseRSp_F0oOPN&si=22O5rP7UrZPBMtk6)
3. [Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech](https://youtube.com/playlist?list=PLoROMvodv4rOpr_A7B9SriE_iZmkanvUg&si=jSzy79oYpZboJzdc) [CS 109](https://web.stanford.edu/class/archive/cs/cs109/cs109.1232/)
4. [Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)](https://youtube.com/playlist?list=PL6XklZATqYx9dj72MKG6wLYjljeB2odra&si=AQhbFkAzij5K1yV_)
5. [Optimization and simulation](https://youtube.com/playlist?list=PL10NOnsbP5Q5NlJ-Y6Eiup6RTSfkuj1TR&si=8a79czFDBSrTDuIq)
6. [Computational Thinking](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/)
## Core Math
1. [Intro to Numerical Methods](https://ocw.mit.edu/courses/18-335j-introduction-to-numerical-methods-spring-2019/)
2. [Differential Equations](https://ocw.mit.edu/courses/18-03sc-differential-equations-fall-2011/)
3. [Numerical Analysis](https://ocw.mit.edu/courses/mathematics/18-335j-introduction-to-numerical-methods-spring-2019/)
4. [Signals and Systems](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-003-signals-and-systems-fall-2011/)
5. [Essential Numerical Methods](https://ocw.mit.edu/courses/22-15-essential-numerical-methods-fall-2014/)
## Core Computer Science
1. [Foundations of Computer Science University of Toronto](https://www.teach.cs.toronto.edu/~csc110y/fall/notes/)
2. [Introduction to Computer Science](https://introcs.cs.princeton.edu/java/home/)
3. [Algorithm Design Manual](https://algorist.com/)
4. [Data Modeling Essentials](http://160592857366.free.fr/joe/ebooks/tech/Data%20Modeling%20Essentials%203rd%20ed%20-%20G.%20Simsion,%20G.%20Witt%20(2005)%20WW.pdf)
5. [Design of Algorithms](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-design-and-analysis-of-algorithms-spring-2015/)
## Core Statistics
1. [stat_rethinking_2023](https://github.com/rmcelreath/stat_rethinking_2023)
2. [intuitivebayes](https://www.intuitivebayes.com/)
3. [Advanced Data Analysis](https://www.stat.cmu.edu/~cshalizi/uADA/)
* [ADA Reading Group](https://www.youtube.com/playlist?list=PLob0yCmJjJ3XT9DfcQ63ly79ICmgGU5bt)
4. [Applied Multivariate Statistical Analysis](https://online.stat.psu.edu/stat505/)
* [A Little Book of Python for Multivariate Analysis](https://python-for-multivariate-analysis.readthedocs.io/)
5. [BayesCog: Bayesian Statistics and Hierarchical Bayesian Modeling for Psychological Science](https://youtube.com/playlist?list=PLfRTb2z8k2x9gNBypgMIj3oNLF8lqM44-&si=nQvE-Af78P36NHAb)
* [Code](https://github.com/lei-zhang/BayesCog_Wien)
* [UCLA STATS 205 - Hierarchical Linear Models](https://youtube.com/playlist?list=PLAYxx7zX5F1MUAvvhZQyA4ISyKYuoKdH6&si=Y-TF61b6UGJXQ-k4)
* [Applied Hierarchical Modeling in Ecology](https://github.com/mikemeredith/AHM_code)
* [Bayesian Hierarchical Modelling course](https://github.com/andrewcparnell/bhm_course)
## Risk Management
1. [Risk Management](https://youtube.com/playlist?list=PLgCR5H4IzggGihtfhTtA0fxGiBU8DMWHq&si=tvZVOVIIwAxgEUyt)
2. [Quantitative Risk Management](https://youtube.com/playlist?list=PLgCR5H4IzggHyHw8dalrVHqHAqZfmTeWa&si=7GTwP1igwl40effn)
## Process Mining
1. [process mining](https://github.com/afontana1/Data-Engineering/tree/master/Process%20Mining)
## Core Systems
1. [fundamentals-of-systems-engineering](https://ocw.mit.edu/courses/16-842-fundamentals-of-systems-engineering-fall-2015/)
2. [introduction-to-system-dynamics](https://ocw.mit.edu/courses/15-871-introduction-to-system-dynamics-fall-2013/)
3. [computational-science-and-engineering](https://ocw.mit.edu/courses/18-085-computational-science-and-engineering-i-fall-2008/)
### Additional Systems Science
1. [SOS 220 (2023, Spring): Systems Thinking](https://youtube.com/playlist?list=PLXBbGVSkQJqHdAM-q6u4VDXANMn0IUn3v&si=ihAoUI77ZTIRgm9G)
2. [SOS 212 (2022, Fall): Systems, Dynamics, and Sustainability](https://youtube.com/playlist?list=PLXBbGVSkQJqGW_cLGUG03EtB1MDOoisUt&si=KaJ0rcjMMWw60enW)
3. [IEE 475 (2022, Fall): Simulating Stochastic Systems - Classroom Recordings](https://youtube.com/playlist?list=PLXBbGVSkQJqEabmdX7QMg0yj_Qjh54rJs&si=3ErIiudSaDmKTi90)
4. [IEE/CSE 598 (2022, Spring): Bio-Inspired AI and Optimization - Classroom Recordings](https://youtube.com/playlist?list=PLXBbGVSkQJqEtpEGPUCAsyW1eYZwPAoNj&si=sU1iPHRIV8R7DF33)
5. [IEE 475 (2021, Fall): Simulating Stochastic Systems - Classroom Recordings](https://youtube.com/playlist?list=PLXBbGVSkQJqGj4E2VeolqHxa4IKV9n3yH&si=ngNdSa9TV42OnN6_)
## Extra Resources and Demonstrations
1. [HSMA Program](https://github.com/hsma-programme) & [hsma3 github](https://github.com/hsma-chief-elf/hsma3) & [HSMA4](https://github.com/hsma4)
2. [Drawing Causal Inference from Big Data](https://youtube.com/playlist?list=PLGJm1x3XQeK0NgFOX2Z7Wt-P5RU5Zv0Hv&si=EyQ-1Lq7Q7p7V7pO)
3. [Probabilistic Modelling and Inference Course](https://www.youtube.com/playlist?list=PLyXv258Xt2PRhkou67NwiQD9OmiNMzdfa)
4. [Operations Research](https://www.youtube.com/playlist?list=PL3oYhfJwwPuYp4gwDmSfh2gB1DQCZdASo)
5. [MIT 18.404J Theory of Computation, Fall 2020](https://youtube.com/playlist?list=PLUl4u3cNGP60_JNv2MmK3wkOt9syvfQWY&si=--dRPEoF-x_bLIbh) [Course Website](https://ocw.mit.edu/courses/18-404j-theory-of-computation-fall-2020/)
6. [6.041 Probabilistic Systems Analysis and Applied Probability](https://www.youtube.com/playlist?list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8)
7. [Introduction to Spatial Data Science](https://youtube.com/playlist?list=PLzREt6r1NenmFyTw8v2JZpEE4PZGNi5Ht&si=wlAxTUTeEY5JGRAC)
6. [Spatial Regression](https://youtube.com/playlist?list=PLzREt6r1Nenkk7x197-CKPFZ0BuAOCRGT&si=23WQG3mnadJId_uD)
7. [Spatial Cluster Analysis](https://youtube.com/playlist?list=PLzREt6r1Nenk3L0ndufhYuwdrrfZqdsIA&si=f8_62feIMiHvDZ9f)