Mit course 6 3 new curriculum

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Mit course 6 3 new curriculum

The PDF includes all information on this page and its related tabs. Subject course information includes any changes approved for the current academic year.

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A — Z Calendar Archive Print. Interdisciplinary Programs. Search Catalog Submit search.

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Overview Toggle Overview. Campus Life Toggle Campus Life. Academic Resources Toggle Academic Resources. Undergraduate Education Toggle Undergraduate Education.

Academic Programs Toggle Academic Programs. Graduate Education Toggle Graduate Education. Academic Procedures Toggle Academic Procedures. Institute Regulations Toggle Institute Regulations. Research and Study Toggle Research and Study. Schools Toggle Schools. Architecture Toggle Architecture. School of Engineering Toggle School of Engineering. Aeronautics and Astronautics Toggle Aeronautics and Astronautics.

Biological Engineering Toggle Biological Engineering.

mit course 6 3 new curriculum

Chemical Engineering Toggle Chemical Engineering. Mechanical Engineering Toggle Mechanical Engineering. Anthropology Toggle Anthropology. Economics Toggle Economics. Global Languages Toggle Global Languages. History Toggle History. Linguistics and Philosophy Toggle Linguistics and Philosophy. Literature Toggle Literature. Political Science Toggle Political Science.

Management Toggle Management.The latter three -- -- are offered jointly with a second department. Click here for the degree requirements for all majors except Click here for information about Students also have a Programming Skills requirement and a Math requirement, which they typically complete in their first year as majors.

As students select their various Foundation, Header, and Advanced Undergraduate Subjects, they are also subject to various constraints.

Complete degree requirements are listed here. Students begin with introductory subjects in EECS, chemistry, and biology. They progress through work in algorithms 6. From there, they take two advanced electives: one in biology, and one in computational biology. Students receive substantial preparation in math and probability, algorithms, machine learning, and economics. From there, they progress through more work in economics, and take advanced electives in both data science and theory.

The Department of Brain and Cognitive Sciences administers the major. More information can be found here. Students are allowed to petition for changes to their degree requirements. Petitions are evaluated on a case-by-case basis; there is no petition that is always approved, and very few that are always declined. The goal is to develop a plan that makes sense for the particular student, while still achieving the goals of the curriculum.

We recommend that students communicate with their advisor before submitting a petition. The petitions process for, and is initiated by the student here.

Once a student has submitted the petition, their advisor will be asked to weigh-in, and then the Department will make a decision. Skip to main content. Search form Search. Overview of Curriculum for, Each curriculum, begins with an Introductory Subject.

Computer Science and Engineering (Course 6-3)

These subjects provide opportunities to identify, formulate, and solve authentic engineering problems by using principles from multiple foundational areas in EECS. These subjects are intended to help students make informed decisions about which foundational subjects are of most interest to them.EECS introduces students to major concepts in electrical engineering and computer science in an integrated and hands-on fashion.

As students progress to increasingly advanced subjects, they gain considerable flexibility in shaping their own educational experiences.

Students gain understanding, competence, and maturity by advancing step by step through subjects of greater and greater complexity:. Throughout the undergraduate years, laboratory subjects, teamwork, independent projects, and research engage students with principles and techniques of analysis, design, and experimentation in a variety of EECS areas.

Undergraduate Programs

The department also offers numerous programs that enable students to gain practical experience, ranging from collaborative industrial projects done on campus to term-long experiences at partner companies. Skip to main content. Search form Search. Students must take three or four, depending on their major. Students must take at least three header subjects and one lab. Two advanced subjects are required. Need help navigating the Course 6 majors? Check out these roadmaps to see which courses you should take for each one.

You can access the Undergraduate and MEng degree programs checklist for the new curricula here! Course Computer Science and Engineering. Research for the master's thesis is completed on campus.

Advising in EECS plays a big role for our students. Find out about independent study and research opportunities available to EECS undergraduate students.Department of Electrical Engineering and Computer Science. Choose at least two subjects in the major that are designated as communication-intensive CI-M to fulfill the Communication Requirement. The units for any subject that counts as one of the 17 GIR subjects cannot also be counted as units required beyond the GIRs. See departmental website for list of acceptable EECS subjects.

The PDF includes all information on this page and its related tabs. Subject course information includes any changes approved for the current academic year. A — Z Calendar Archive Print. Degree Charts. Search Catalog Submit search.

Overview Toggle Overview. Campus Life Toggle Campus Life. Academic Resources Toggle Academic Resources. Undergraduate Education Toggle Undergraduate Education.

mit course 6 3 new curriculum

Academic Programs Toggle Academic Programs. Graduate Education Toggle Graduate Education. Academic Procedures Toggle Academic Procedures. Institute Regulations Toggle Institute Regulations.

Research and Study Toggle Research and Study. Schools Toggle Schools. Architecture Toggle Architecture. School of Engineering Toggle School of Engineering.A course is a course, of course, except when it is a subject.

mit course 6 3 new curriculum

At MIT course numbers and abbreviations refer to courses of study leading to specific academic degrees and, by extension, to the departments or programs offering those degrees. Subjects are what many people typically think of as courses, i. These descriptions are current but are subject to change. For schedules, consult the Online Subject Listing and Schedule. Below is a list of the departments and programs that offer subjects at MIT.

Same subject as Provides students with an introduction to public policy analysis. Examines various approaches to policy analysis by considering the concepts, tools, and methods used in economics, political science, and other disciplines.

Students apply and critique these approaches through case studies of current public policy problems.

Degree Requirements for 6-1, 6-2, 6-3, 6-7, and 6-14

Same subject as 2. Equilibrium properties of macroscopic and microscopic systems.

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Basic thermodynamics: state of a system, state variables. Work, heat, first law of thermodynamics, thermochemistry. Second and third law of thermodynamics: entropy and its statistical basis, Gibbs function. Chemical equilibrium of reactions in gas and solution phase.

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Macromolecular structure and interactions in solution. Driving forces for molecular self-assembly. Binding cooperativity, solvation, titration of macromolecules. If a description of the subject content is not given, the associated subject number under which the description can be found appears instead.

Any subject open only to special groups is so noted at the end of its content description. The name of the instructor s or department contact appears in italics at the end of the subject description. The PDF includes all information on this page and its related tabs. Subject course information includes any changes approved for the current academic year.

A — Z Calendar Archive Print. MIT Subjects.Prereq: None U Fall, Spring; first half of term units. Introduction to computer science and programming for students with little or no programming experience. Students develop skills to program and use computational techniques to solve problems.

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Topics include the notion of computation, Python, simple algorithms and data structures, testing and debugging, and algorithmic complexity.

Combination of 6. Final given in the seventh week of the term. Prereq: 6. Provides an introduction to using computation to understand real-world phenomena. Topics include plotting, stochastic programs, probability and statistics, random walks, Monte Carlo simulations, modeling data, optimization problems, and clustering.

Covers subject matter not offered in the regular curriculum. Consult department to learn of offerings for a particular term. Bell, W. Grimson, J. Fundamentals of linear systems and abstraction modeling through lumped electronic circuits. Linear networks involving independent and dependent sources, resistors, capacitors and inductors.

mit course 6 3 new curriculum

Extensions to include nonlinear resistors, switches, transistors, operational amplifiers and transducers. Dynamics of first- and second-order networks; design in the time and frequency domains; signal and energy processing applications.

Design exercises. Weekly laboratory with microcontroller and transducers. Lang, T. Palacios, D. Perreault, J. Fundamentals of signal processing, focusing on the use of Fourier methods to analyze and process signals such as sounds and images.

Topics include Fourier series, Fourier transforms, the Discrete Fourier Transform, sampling, convolution, deconvolution, filtering, noise reduction, and compression. Applications draw broadly from areas of contemporary interest with emphasis on both analysis and design. Provides an introduction to the design of digital systems and computer architecture. Emphasizes expressing all hardware designs in a high-level hardware language and synthesizing the designs.

Arvind, S. Hanono Wachman, D. Introduction to mathematical modeling of computational problems, as well as common algorithms, algorithmic paradigms, and data structures used to solve these problems.

Emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.In addition, a great deal of research and education takes place in interdisciplinary programs, laboratories, and centers whose work extends beyond traditional departmental boundaries. Interdisciplinary education programs are offered at both the undergraduate and the graduate levels.

MIT strives to provide students with a strong scientific, technical, and humanistic foundation, and to encourage them to develop creativity in defining problems and seeking solutions.

For the Bachelor of Science degree, students must complete a core requirement that is equally divided between science and mathematics, and the humanities, arts, and social sciences. The humanities, arts, and social sciences requirement must be fulfilled by taking one course each in the humanities, arts, and social sciences, along with a three-subject concentration. Students must also complete a four-subject communications requirement.

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Beyond these requirements, students must meet the standards of their chosen major s. See the MIT Undergraduate Curriculum Requirements links in the tables below for specific information about each major. A typical course load is four to five courses each term. Freshmen are subject to a credit limit of no more than five courses, as they adjust to the pace and intensity of an MIT education.

Upperclassmen are free to take as many courses as they like, with their academic advisor's approval. Traditionally a leader in engineering graduate education, MIT has also attained national prominence for its doctoral programs in mathematics and the physical and life sciences. In addition, top-ranked graduate programs in economics; political science; linguistics; science, technology, and society; architecture; urban studies and planning; and management have broadened the spectrum of graduate education at MIT.

The Institute has a single faculty that is responsible for both undergraduate and graduate instruction. Each department exercises a large measure of autonomy for its graduate programs, under general guidelines established for the Institute as a whole. The administration of graduate education rests with the president, the provost, the chancellor, the dean and associate dean for graduate students, and the Committee on Graduate School Programs. This interactive map represents the MIT undergraduate curriculum and which of those courses can be found on OCW, so you can visualize and explore what OCW's broad curriculum coverage really means.

Its data was last updated in June Please explore the map and send us your feedback. MIT subjects are nodes small circles. Grey nodes are subjects not currently on OCW. A line between two nodes shows a prerequisite relationship. Mouse over a node to highlight the subject's prerequisites. Click on a node to see a link to the subject on OCW and a list of its prerequisites.

Search for courses by keyword. Click the "Show on Map" box to display search results on the map. The data in the map was last updated in June

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