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6. Computational Thinking for Modeling and Simulation • Carry out a few simple methods for numerical integration • Implement procedures for numerical differentiation • Write programs to solve systems of equations, both linear and non-linear 🔗 shorturl.at/nLSY3
🧱 1️⃣ Computer Science Fundamentals Everything begins here — programming, algorithms, probability, and linear algebra. These are the tools that let you see inside a model: why it learns, why it fails, and how to fix it.
want to really understand the math behind computer science? > this book’s where you start. > it breaks down logic, sets, graphs, and combinatorics; the core mental tools every programmer and CS student needs
Mathematics for machine learning in python : Linear Algebra, calculus, and statistics for AI and Data science clcoding.com/2025/09/mathem…
Programming, properly conceived, is the art of formally specifying recursively enumerable (Sigma_1^0) mathematical structures. All else is either infrastructure or noise.
A computational graph is the graph representation of a mathematical computation. By considering the order of operations, we can represent any expression in a graph form. For instance, here's the graph representation of ax + b.
in my opinion, everyone should go through this blog once and implement all the code here to build problem solving skills this exercise is one of the beat to improve thinking but you must not use any library or any data structure, only loops + print statements!
We live in a world exquisitely dependent on computing, with artifacts that range from the profoundly simple to the staggeringly complex. Nonetheless, its fundamental concepts are still within the grasp of every person touched by its possibilities. Abstraction, algorithms,…
CP TOPICS YOU NEED TO LEARN - pattern printing problems - time complexity analysis - linear search and circular array representation - palindrome and other numbers (perfect, armstrong) for basic number problems - hashing problem (frequency counting) - prefix sum (1D and 2D)
Data Structures and Algorithms Specialization Master Algorithmic Programming Techniques. Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. clcoding.com/2023/10/data-s…
Writing a program is not just “coding.” Because of the Curry-Howard correspondence, coding becomes an act of proving a theorem. quantamagazine.org/the-deep-link-…
quantamagazine.org
The Deep Link Equating Math Proofs and Computer Programs | Quanta Magazine
Mathematical logic and the code of computer programs are, in an exact way, mirror images of each other.
If you pursue a degree in computer science, you'll encounter units like compiler construction, mobile computing, microprocessors, computer architecture, calculus, numerical analysis, and automata. These units will abuse you, give you sleepless nights and make you cry like a baby.
5. Introduction to Computational Thinking and Data Science Interested in Data Science? This course has the fundamentals covered for you. Taught via Python as the programming language. 👉 ocw.mit.edu/courses/6-0002…
5. Introduction to Computational Thinking and Data Science Interested in Data Science? This course has the fundamentals covered for you. Taught via Python as the programming language. 👉 ocw.mit.edu/courses/6-0002…
“Very few programmers think in terms of algorithms. When trying to write a concurrent system, if you just code it without having algorithms, there’s no way that your program is not going to be full of bugs.” quantamagazine.org/computing-expe…
quantamagazine.org
Computing Expert Says Programmers Need More Math | Quanta Magazine
Leslie Lamport revolutionized how computers talk to each other. Now he’s working on how engineers talk to their machines.
This course on "Introduction to Computational Thinking" is exceptional. Computational Thinking is useful for CS and machine learning students. Topics include image analysis, statistics, differential equations,... A fun way to start learning Julia. computationalthinking.mit.edu/Spring21/
Computer Science is a science of abstraction -creating the right model for a problem and devising the appropriate mechanizable techniques to solve it. - Alfred Aho
"Computer Science is a science of abstraction -creating the right model for a problem and devising the appropriate mechanizable techniques to solve it." - Alfred Aho
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