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This half-semester course introduces computational thinking through applications of data science, artificial intelligence, and mathematical models using the Julia programming language. This Spring 2020 version is a fast-tracked curriculum adaptation to focus on applications to COVID-19 responses. See the MIT News … Show more This half-semester course introduces computational thinking through appli
This collection of videos presents Professor Strang’s updated vision of how linear algebra could be taught. It starts with six brief videos, recorded in 2020, containing many ideas and suggestions about the recommended order of topics in teaching and learning linear algebra. Topics include A New Way to Start Linear … Show more This collection of videos presents Professor Strang’s updated vision of
Category theory is a relatively new branch of mathematics that has transformed much of pure math research. The technical advance is that category theory provides a framework in which to organize formal systems and by which to translate between them, allowing one to transfer knowledge from one field to another. But this …Show more Category theory is a relatively new branch of mathematics that has t
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This section contains a project description, suggested topics, and examples of student work. Project Description The course project will be a major component of the course grade. You are welcome to choose a topic in any area of machine learning or statistics related to the course syllabus. You are strongly encouraged to choose a topic that you would like to learn about, rather than a topic you are
The full course textbook, Mathematics for Computer Science, is available for download (PDF 5.8MB). SES # READINGS
This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.
6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their …Show more 6.0001 Introduction to Computer Science and Programming in Python is
The slides and code from each lecture are available below. SES # TOPICS LECTURE SLIDES LECTURE CODES
Integration is a fundamental concept in the field of calculus. Calculus has many applications in science and engineering. Image courtesy of widdowquinn on flickr. In this section we have provided a collection of mathematics courses and resources from across MIT. Some are materials that were used to teach MIT undergraduates, while others were designed specifically for high school students. Calculus
Learn Differential Equations: Up Close with _Gilbert Strang and_ Cleve Moler is an in-depth series of videos about differential equations and the MATLAB® ODE suite. These videos are suitable for students and life-long learners to enjoy. About the Instructors Gilbert Strang is the MathWorks Professor of Mathematics at … Show more Learn Differential Equations: Up Close with _Gilbert Strang and_ Clev
This course covers abstractions and implementation techniques for the design of distributed systems. Topics include: server design, network programming, naming, storage systems, security, and fault tolerance. The assigned readings for the course are from current literature. This course is worth 6 Engineering Design …Show more This course covers abstractions and implementation techniques for the de
This course is an introduction to the theory that tries to explain how minds are made from collections of simpler processes. It treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. It incorporates ideas from psychology, artificial …Show more This course is an introduction to the theory that tries to explain how minds ar
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and …Show more This course provides an introduction to mathematical modeling of computat
Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODE’s) deal with functions of one variable, which can often be thought …Show more Differential Equations are the language in which the laws of nature are ex
This course takes a broad-based look at poker theory and applications of poker analytics to investment management and trading. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT in January. IAP provides members of the MIT community including students, faculty, … Show more This course takes a broad-based look at poker theory and applications
This course studies fundamental design and implementation ideas in the engineering of operating systems. Lectures are based on a study of UNIX and research papers. Topics include virtual memory, threads, context switches, kernels, interrupts, system calls, interprocess communication, coordination, and the interaction …Show more This course studies fundamental design and implementation ideas in the
All readings and assignments are from the textbook, which is available online: Complete textbook as a single file (PDF - 4.3MB) To leave comments or questions about the book, go to CT4S suggestions. 1 Introduction (PDF) 1.1 A brief history of category theory 1.2 Intention of this book 1.3 What is requested from the student 1.4 Category theory references 1.5 Acknowledgments 2 The category of sets (
This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. The course is designed to help … Show more This course will provide a gentle, yet intense, introduction to progr
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; …Show more This course covers elementary discrete mathematics for computer science and e
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge …Show more This course introduces students to the basic knowledge representation, problem
The goal of this class is to prove that category theory is a powerful language for understanding and formalizing common scientific models. The power of the language will be tested by its ability to penetrate into taken-for-granted ideas, either by exposing existing weaknesses or flaws in our understanding, or by …Show more The goal of this class is to prove that category theory is a powerful langu
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