16.660 Introduction to Lean Six Sigma Methods (MIT)
This course introduces the fundamental Lean Six Sigma principles that underlay modern continuous improvement approaches for industry, government and other organizations. Lean emerged from the Japanese automotive industry, particularly Toyota, and is focused on the creation of value through the relentless elimination of waste. Six Sigma is a quality system developed at Motorola which focuses on elimination of variation from all processes. The basic principles have been applied to a wide range of
3.021J Introduction to Modeling and Simulation (MIT)
This course explores the basic concepts of computer modeling and simulation in science and engineering. We'll use techniques and software for simulation, data analysis and visualization. Continuum, mesoscale, atomistic and quantum methods are used to study fundamental and applied problems in physics, chemistry, materials science, mechanics, engineering, and biology. Examples drawn from the disciplines above are used to understand or characterize complex structures and materials, and complement e
9.01 Introduction to Neuroscience (MIT)
This course is an introduction to the mammalian nervous system, with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement, learning and memory, and diseases of the brain.
18.443 Statistics for Applications (MIT)
This course is a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, correlation, decision theory, and Bayesian statistics. Note: Please see the syllabus for a description of the different versions of 18.443 taught at MIT.
6.00 Introduction to Computer Science and Programming (MIT)
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.
11.125 Introduction to Education: Understanding and Evaluating Education (MIT)
This class uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media
14.30 Introduction to Statistical Methods in Economics (MIT)
This course will provide a solid foundation in probability and statistics for economists and other social scientists. We will emphasize topics needed for further study of econometrics and provide basic preparation for 14.32. Topics include elements of probability theory, sampling theory, statistical estimation, and hypothesis testing.
18.102 Introduction to Functional Analysis (MIT)
This is a undergraduate course. It will cover normed spaces, completeness, functionals, Hahn-Banach theorem, duality, operators; Lebesgue measure, measurable functions, integrability, completeness of L-p spaces; Hilbert space; compact, Hilbert-Schmidt and trace class operators; as well as spectral theorem.
5.37 Introduction to Organic Synthesis Laboratory (MIT)
This course, which spans a third of a semester, provides students with experience using techniques employed in synthetic organic chemistry. It also introduces them to the exciting research area of catalytic chiral catalysis.
This class is part of the new laboratory curriculum in the MIT Department of Chemistry. Undergraduate Research-Inspired Experimental Chemistry Alternatives (URIECA) introduces students to cutting edge research topics in a modular format.
SP.401 Introduction to Women's and Gender Studies (MIT)
<p>This course is designed as an introduction to the interdisciplinary field of Women's and Gender Studies, an academic area of study focused on the ways that sex and gender manifest themselves in social, cultural, and political contexts. The primary goal of this course is to familiarize students with key issues, questions and debates in Women's Studies scholarship, both historical and contemporary. This semester you will become acquainted with many of the critical questions and concepts f
21M.606 Introduction to Stagecraft (MIT)
Offered in the spring and fall terms, Introduction to Stagecraft is a hands-on course that gets students working with the tools and techniques of theatrical production in a practical way. It is not a design course but one devoted to artisanship. Among the many remarkable final projects that have been proposed and presented at the end of the course have been a Renaissance hourglass blown in the MIT glass shop and set into a frame turned on our set shop lathe; a four harness loom built by a studen
20.020 Introduction to Biological Engineering Design (MIT)
This class is a project-based introduction to the engineering of synthetic biological systems. Throughout the term, students develop projects that are responsive to real-world problems of their choosing, and whose solutions depend on biological technologies. Lectures, discussions, and studio exercises will introduce (1) components and control of prokaryotic and eukaryotic behavior, (2) DNA synthesis, standards, and abstraction in biological engineering, and (3) issues of human practice, includin
21M.065 Introduction to Music Composition (MIT)
Through a progressive series of composition projects, students investigate the sonic organization of musical works and performances, focusing on fundamental questions of unity and variety. Aesthetic issues are considered in the pragmatic context of the instructions that composers provide to achieve a desired musical result, whether these instructions are notated in prose, as graphic images, or in symbolic notation. No formal training is required; this version of the class is a general elective s
6.189 A Gentle Introduction to Programming Using Python (MIT)
This 6-unit P/D/F course will provide a gentle introduction to programming using Python for highly motivated students with little or no prior experience in programming computers over the first two weeks of IAP. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. Lectures will be interactive, featuring in-class exercises with lots of support from the course staff.
This class is designed to help prepare students for 6.01 Introductio
6.088 Introduction to C Memory Management and C++ Object-Oriented Programming (MIT)
Ever hang your head in shame after your Python program wasn't as fast as your friend's C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up by teaching you s
6.092 Introduction to Programming in Java (MIT)
This course is an introduction to software engineering, using the Java™ programming language. It covers concepts useful to 6.005. Students will learn the fundamentals of Java. The focus is on developing high quality, working software that solves real problems.
The course is designed for students with some programming experience, but if you have none and are motivated you will do fine. Students who have taken 6.005 should not take this course. Each class is composed of one hour of lecture a
6.01 Introduction to Electrical Engineering and Computer Science I (MIT)
6.01 explores fundamental ideas in electrical engineering and computer science, in the context of working with mobile robots. Key engineering principles, such as abstraction and modularity, are applied in the design of computer programs, electronic circuits, discrete-time controllers, and noisy and/or uncertain systems.
18.712 Introduction to Representation Theory (MIT)
The goal of this course is to give an undergraduate-level introduction to representation theory (of groups, Lie algebras, and associative algebras). Representation theory is an area of mathematics which, roughly speaking, studies symmetry in linear spaces.
6.079 Introduction to Convex Optimization (MIT)
This course aims to give students the tools and training to recognize convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results that are useful in applications. Topics include convex sets, convex functions, optimization problems, least-squares, linear and quadratic programs, semidefinite programming, optimality conditions, and duality theory. Applications to signal processing, control, machin
California Gold Rush: An Introduction
A two minute video about the causes and effects of the Gold Rush with insights into the American Dream of striking it rich. A good introduction, but clearly too short for anything else
