MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. 6.826 provides an introduction to the basic principles of computer systems, with emphasis on the use of rigorous techniques as an aid to understanding and building modern computing systems.
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6.252J is a course in the department's "Communication, Control, and Signal Processing" concentration. By developing new applications in science, engineering and business, computer science is changing the world, and changing people’s lives.
CS 4-years BSc with Industrial Experience - you have a year's placement in industry between study years 2 and 3. CS 4-years MEng - designed to fulfill the highest professional requirements and challenge the ablest of students. CS 5-years MEng with Industrial Experience - the same as the 4-year MEng, but you have a year's placement in industry between study years 3 and 4. Clockwise from top left: a wavepacket plotted on the complex plane, a model for charge injection and transport through a ballistic nanowire, a billiard ball model of a reversible computer, and the simplified energy bandstructure of graphene.


With more than 2,200 courses available, OCW is delivering on the promise of open sharing of knowledge. With over 30 years' experience, we provide courses that are CPD Industry Award Certified and Internationally Recognised in over 140 countries. This course provides a unified analytical and computational approach to nonlinear optimization problems. Our computer science course combines the study of software and hardware, and information and communication technologies, to equip you with the skills needed for a challenging and evolving career. This course analyzes issues associated with the implementation of high-level programming languages. But as electronic devices approach the molecular scale, classical models for device behavior must be abandoned. Topics covered include: specification and verification, concurrent algorithms, synchronization, naming, networking, replication techniques (including distributed cache management), and principles and algorithms for achieving reliability.
The topics covered in this course include: unconstrained optimization methods, constrained optimization methods, convex analysis, Lagrangian relaxation, nondifferentiable optimization, and applications in integer programming.
The course is the most flexible that we offer and allows you to adapt your studies to reflect your developing, possibly changing, interests. Topics covered include: fundamental concepts, functions, and structures of compilers, basic program optimization techniques, the interaction of theory and practice, and using tools in building software.
To prepare for the next generation of electronic devices, this class teaches the theory of current, voltage and resistance from atoms up.
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There is also a comprehensive treatment of optimality conditions, Lagrange multiplier theory, and duality theory. Core topics covered include object-oriented (Java) and imperative (C) programming paradigms, software development techniques, databases and computer architecture. The course features a multi-person project on design and implementation of a compiler that is written in Java® and generates MIPS executable machine code.
To describe electrons at the nanoscale, we will begin with an introduction to the principles of quantum mechanics, including quantization, the wave-particle duality, wavefunctions and Schrodinger's equation. Throughout the course, applications are drawn from control, communications, power systems, and resource allocation problems.
You can mix these with general computing subjects such as graphics, networking and computer vision.
This course is worth 8 Engineering Design Points.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5502 (Computer Language Engineering).
Then we will consider the electronic properties of molecules, carbon nanotubes and crystals, including energy band formation and the origin of metals, insulators and semiconductors. Electron conduction will be taught beginning with ballistic transport and concluding with a derivation of Ohm's law.



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