Production of Educational Videos is an introduction to technical communication that is situated in the production of educational videos; the assignments are all focused on the production of videos that teach some aspect of MIT's first-year core curriculum. The objective of these assignments is improvement in both communication ability and communication habits; these improvements are effected by providing participants with instruction, practice, feedback, and the opportunity for reflection. In addition to improvements in communication skills, improvement is expected in students' attitude towards writing, oral presentations, and collaboration; as the semester progresses, students should feel confident of their ability to write, present, and collaborate.

Production of Educational Videos is an introduction to technical communication that is situated in the production of educational videos; the assignments are all focused on the production of videos that teach some aspect of MIT's first-year core curriculum. The objective of these assignments is improvement in both communication ability and communication habits; these improvements are effected by providing participants with instruction, practice, feedback, and the opportunity for reflection. In addition to improvements in communication skills, improvement is expected in students' attitude towards writing, oral presentations, and collaboration; as the semester progresses, students should feel confident of their ability to write, present, and collaborate.

Explore two of the computing languages used for AI programming, R and Python. Learn about Minecraft and The Hour of Code. This module is part of the AI Foundations: Imagine Cup Juniors learning path.

The course is an introduction to the preparation and delivery of oral presentations in an extemporaneous style. Emphasis is on ethical research, critical and logical analysis, and organization of informative and persuasive presentations.

This course covers the basic algebra and technological tools used in the social, physical and life sciences to analyze quantitative information. The emphasis is on real world, open-ended problems that involve reading, writing, calculating, synthesizing, and clearly reporting results. Topics include descriptive statistics, linear, and exponential models. Technology used in the course includes computers (spreadsheets, Internet) and graphing calculators.

This course develops logical, empirically based arguments using statistical techniques and analytic methods. Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered. Emphasis is on the use and limitations of analytical techniques in planning practice.

This course intends to equip learners with the knowledge and skills needed to solve problems in quantitative aptitude and handle advanced learning for further value addition.

A two-semester subject on quantum theory, stressing principles: uncertainty relation, observables, eigenstates, eigenvalues, probabilities of the results of measurement, transformation theory, equations of motion, and constants of motion. Symmetry in quantum mechanics, representations of symmetry groups. Variational and perturbation approximations. Systems of identical particles and applications. Time-dependent perturbation theory. Scattering theory: phase shifts, Born approximation. The quantum theory of radiation. Second quantization and many-body theory. Relativistic quantum mechanics of one electron. This is the second semester of a two-semester subject on quantum theory, stressing principles. Topics covered include: time-dependent perturbation theory and applications to radiation, quantization of EM radiation field, adiabatic theorem and Berry's phase, symmetries in QM, many-particle systems, scattering theory, relativistic quantum mechanics, and Dirac equation.

Studies how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Models of randomized computation. Data structures: hash tables, and skip lists. Graph algorithms: minimum spanning trees, shortest paths, and minimum cuts. Geometric algorithms: convex hulls, linear programming in fixed or arbitrary dimension. Approximate counting; parallel algorithms; online algorithms; derandomization techniques; and tools for probabilistic analysis of algorithms.

Aims to develop a teaching knowledge of the field through extensive reading and discussion of major works. The reading covers a broad range of topics -- political, economic, social, and cultural -- and represents a variety of historical methods. Students make frequent oral presentations and prepare a 20-page review essay.

This course covers the fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and the interchange of limit operations. It shows the utility of abstract concepts and teaches an understanding and construction of proofs. MIT students may choose to take one of three versions of Real Analysis; this version offers three additional units of credit for instruction and practice in written and oral presentation.The three options for 18.100:Option A (18.100A) chooses less abstract definitions and proofs, and gives applications where possible.Option B (18.100B) is more demanding and for students with more mathematical maturity; it places more emphasis from the beginning on point-set topology and n-space, whereas Option A is concerned primarily with analysis on the real line, saving for the last weeks work in 2-space (the plane) and its point-set topology.Option C (18.100C) is a 15-unit variant of Option B, with further instruction and practice in written and oral communication. This fulfills the MIT CI requirement.  

In June 2009 the Operator Algebras and Applications International Summer School was held in Lisbon. Dr Joel Feinstein taught one of the four courses available on Regularity conditions for Banach function algebras. He delivered four 90 minute lectures on and this learning object contains the slides, handouts, annotated slides and audio podcasts from each session.

Banach function algebras are complete normed algebras of bounded, continuous, complex-valued functions defined on topological spaces.

This course has been designed to help students focus learning on specific areas of improvement. Unlike a typical college course where you would complete lessons in chronological order, this course allows you to focus on specific skills. Modules include: Arithmetic Review, Percents, Geometric Figures, Measurement, and Statistics

This course uses readings and discussions to focus on a series of short-term events that shed light on American politics, culture, and social organization. It emphasizes finding ways to make sense of these complicated, highly traumatic events, and on using them to understand larger processes of change in American history. The class also gives students experience with primary documentation research through a term paper assignment.

This subject introduces the history of science from antiquity to the present. Students consider the impact of philosophy, art, magic, social structure, and folk knowledge on the development of what has come to be called "science" in the Western tradition, including those fields today designated as physics, biology, chemistry, medicine, astronomy and the mind sciences. Topics include concepts of matter, nature, motion, body, heavens, and mind as these have been shaped over the course of history. Students read original works by Aristotle, Vesalius, Newton, Lavoisier, Darwin, Freud, and Einstein, among others.

SFUSD's creative computing curriculum introduces computer science as a creative, collaborative, and engaging discipline to children in third through fifth grade.

Across 5 units and 15-20 lessons, students will learn about algorithms and programming, computing systems, the Internet, and impacts of computing, while developing strong practices and dispositions. Lessons are designed to be implemented in 45 to 60-minute periods approximately once per week.

SFUSD's creative computing curriculum introduces computer science as a creative, collaborative, and engaging discipline to children in third through fifth grade.

Across 5 units and 15-20 lessons, students will learn about algorithms and programming, computing systems, the Internet, and impacts of computing, while developing strong practices and dispositions. Lessons are designed to be implemented in 45 to 60-minute periods approximately once per week.

SFUSD's creative computing curriculum introduces computer science as a creative, collaborative, and engaging discipline to children in kindergarten through second grade.

Across 3 units and 15-20 lessons, students will learn about algorithms and programming, computing systems, the Internet, and impacts of computing, while developing strong practices and dispositions. Lessons are designed to be implemented in 45 to 60-minute periods approximately once per week.

SFUSD's creative computing curriculum introduces computer science as a creative, collaborative, and engaging discipline to children in kindergarten through second grade.

Across 3 units and 15-20 lessons, students will learn about algorithms and programming, computing systems, the Internet, and impacts of computing, while developing strong practices and dispositions. Lessons are designed to be implemented in 30 to 40-minute periods approximately once per week.

MyCS is a middle years computer science curriculum, created by the
San Francisco Unified School District (SFUSD) in 2017, and based on a curriculum originally created by Harvey Mudd College. The lessons highlight the personal relevance of computer science to middle school students and attempt to present CS as a fun, creative, and collaborative discipline. The curriculum was designed to be implemented as a discrete introductory computer science curriculum, taught every day for variable lengths.