Graduates of MIT's electrical engineering and computer science department work in diverse industries and conduct research in a broad range of areas.

They improve the stability and security of computers and communications networks, and they increase the efficiency of solar panels. They create unique algorithms to analyze financial markets and design robots capable of thinking like human beings. Our community members continually make breakthroughs that enable people to communicate more easily, manage their environments more effectively, and lead more comfortable lives than ever before.

MIT has awarded electrical engineering degrees for nearly 130 years, and our educational programs have been at the cutting edge since their inception. We provide an in-depth education in engineering principles built on mathematics, computation, and the physical and life sciences, and encourage our students to apply what they learn through projects, internships, and research. We succeed in our mission to produce graduates capable of taking leadership positions in the fields of electrical engineering and computer science and beyond.

More than 30 percent of MIT's undergraduates are enrolled in the Department of Electrical Engineering and Computer Science, and our graduate programs are world-renowned. Our faculty comprises more than 40 members of the National Academy of Engineering, more than 10 members of the National Academy of Sciences, several National Medal of Technology winners, as well as many fellows of professional societies, such as the IEEE, ACM, APS, AAAI and others.

Visit the MIT Department of Electrical Engineering and Computer Science home page at:
http://www.eecs.mit.edu/
Review the MIT Department of Electrical Engineering and Computer Science curriculum at:
http://ocw.mit.edu/OcwWeb/web/resources/curriculum/index.htm#6
Learn more about MIT Engineering:
http://engineering.mit.edu/

Undergraduate Courses

Updated within the past 180 days	MIT Course #	Course Title	Term
	6.00	Introduction to Computer Science and Programming	Fall 2007
	6.001	Structure and Interpretation of Computer Programs	Spring 2005
	6.002	Circuits and Electronics	Spring 2007
	6.003	Signals and Systems	Fall 2003
	6.004	Computation Structures	Fall 2002
	6.006	Introduction to Algorithms	Spring 2008
	6.011	Introduction to Communication, Control, and Signal Processing	Spring 2004
	6.012	Microelectronic Devices and Circuits	Fall 2003
	6.012	Microelectronic Devices and Circuits	Fall 2005
	6.013	Electromagnetics and Applications	Fall 2002
	6.013	Electromagnetics and Applications	Fall 2005
	6.021J	Quantitative Physiology: Cells and Tissues	Fall 2004
	6.022J	Quantitative Physiology: Organ Transport Systems	Spring 2004
	6.023J	Fields, Forces and Flows in Biological Systems	Spring 2007
	6.024J	Molecular, Cellular, and Tissue Biomechanics	Fall 2006
	6.025J	Introduction to Bioengineering (BE.010J)	Spring 2006
	6.033	Computer System Engineering (SMA 5501)	Spring 2005
	6.034	Artificial Intelligence	Spring 2005
	6.034	Artificial Intelligence	Fall 2006
	6.035	Computer Language Engineering (SMA 5502)	Fall 2005
	6.041	Probabilistic Systems Analysis and Applied Probability	Spring 2005
	6.041	Probabilistic Systems Analysis and Applied Probability	Spring 2006
	6.042J	Mathematics for Computer Science (SMA 5512)	Fall 2002
	6.042J	Mathematics for Computer Science	Fall 2005
	6.042J	Mathematics for Computer Science	Spring 2005
	6.045J	Automata, Computability, and Complexity	Spring 2005
	6.046J	Introduction to Algorithms (SMA 5503)	Fall 2005
	6.050J	Information and Entropy	Spring 2008
	6.055J	The Art of Approximation in Science and Engineering	Spring 2008
	6.061	Introduction to Electric Power Systems	Spring 2007
	6.071J	Introduction to Electronics, Signals, and Measurement	Spring 2006
	6.07J	Projects in Microscale Engineering for the Life Sciences	Spring 2007
	6.080	Great Ideas in Theoretical Computer Science	Spring 2008
	6.089	Great Ideas in Theoretical Computer Science	Spring 2008
	6.090	Building Programming Experience: A Lead-In to 6.001	January (IAP) 2005
	6.091	Hands-On Introduction to Electrical Engineering Lab Skills	January (IAP) 2008
	6.092	Bioinformatics and Proteomics	January (IAP) 2005
	6.092	Java Preparation for 6.170	January (IAP) 2006
	6.092	Introduction to Software Engineering in Java	January (IAP) 2009
	6.094	Introduction to MATLAB®	January (IAP) 2009
	6.095J	Computational Biology: Genomes, Networks, Evolution	Fall 2005
	6.096	Algorithms for Computational Biology	Spring 2005
	6.096	Introduction to C++	January (IAP) 2009
	6.097	Fundamentals of Photonics: Quantum Electronics	Spring 2006
	6.099	Street-Fighting Mathematics	January (IAP) 2008
	6.101	Introductory Analog Electronics Laboratory	Spring 2007
	6.111	Introductory Digital Systems Laboratory	Fall 2002
	6.111	Introductory Digital Systems Laboratory	Spring 2006
	6.152J	Micro/Nano Processing Technology	Fall 2005
	6.161	Modern Optics Project Laboratory	Fall 2005
	6.163	Strobe Project Laboratory	Fall 2005
	6.170	Laboratory in Software Engineering	Fall 2005
	6.171	Software Engineering for Web Applications	Fall 2003
	6.186	Mobile Autonomous Systems Laboratory	January (IAP) 2005
	6.189	Multicore Programming Primer	January (IAP) 2007
	6.189	A Gentle Introduction to Programming Using Python	January (IAP) 2008
	6.270	Autonomous Robot Design Competition	January (IAP) 2005
	6.338J	Applied Parallel Computing (SMA 5505)	Spring 2005
	6.370	Robocraft Programming Competition	January (IAP) 2005
	6.431	Probabilistic Systems Analysis and Applied Probability	Spring 2005
	6.431	Probabilistic Systems Analysis and Applied Probability	Spring 2006
	6.521J	Quantitative Physiology: Cells and Tissues	Fall 2004
	6.637	Modern Optics Project Laboratory	Fall 2005
	6.690	Introduction to Electric Power Systems	Spring 2007
	6.801	Machine Vision	Fall 2004
	6.803	The Human Intelligence Enterprise	Spring 2002
	6.803	The Human Intelligence Enterprise	Spring 2006
	6.804J	Computational Cognitive Science	Fall 2004
	6.805	Ethics and the Law on the Electronic Frontier	Fall 2005
	6.806	Ethics and the Law on the Electronic Frontier	Fall 2005
	6.833	The Human Intelligence Enterprise	Spring 2002
	6.833	The Human Intelligence Enterprise	Spring 2006
	6.837	Computer Graphics	Fall 2003
	6.857	Network and Computer Security	Fall 2003
	6.866	Machine Vision	Fall 2004
	6.895	Computational Biology: Genomes, Networks, Evolution	Fall 2005
	6.901	Inventions and Patents	Fall 2005
	6.911	Transcribing Prosodic Structure of Spoken Utterances with ToBI	January (IAP) 2006
	6.912	Introduction to Copyright Law	January (IAP) 2006
	6.930	Management in Engineering	Fall 2004
	6.974	Fundamentals of Photonics: Quantum Electronics	Spring 2006
	6.976	NextLab I: Designing Mobile Technologies for the Next Billion Users	Fall 2008

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Graduate Courses

Updated within the past 180 days	MIT Course #	Course Title	Term
	6.041	Probabilistic Systems Analysis and Applied Probability	Spring 2005
	6.041	Probabilistic Systems Analysis and Applied Probability	Spring 2006
	6.061	Introduction to Electric Power Systems	Spring 2007
	6.092	Bioinformatics and Proteomics	January (IAP) 2005
	6.094	Introduction to MATLAB®	January (IAP) 2009
	6.095J	Computational Biology: Genomes, Networks, Evolution	Fall 2005
	6.096	Introduction to C++	January (IAP) 2009
	6.097	Fundamentals of Photonics: Quantum Electronics	Spring 2006
	6.189	Multicore Programming Primer	January (IAP) 2007
	6.231	Dynamic Programming and Stochastic Control	Fall 2008
	6.241	Dynamic Systems & Control	Fall 2003
	6.243J	Dynamics of Nonlinear Systems	Fall 2003
	6.245	Multivariable Control Systems	Spring 2004
	6.251J	Introduction to Mathematical Programming	Fall 2002
	6.252J	Nonlinear Programming	Spring 2003
	6.252J	Nonlinear Programming	Spring 2004
	6.253	Convex Analysis and Optimization	Spring 2004
	6.263J	Data Communication Networks	Fall 2002
	6.264J	Queues: Theory and Applications	Spring 2006
	6.281J	Logistical and Transportation Planning Methods	Fall 2004
	6.281J	Logistical and Transportation Planning Methods	Fall 2006
	6.301	Solid-State Circuits	Spring 2003
	6.302	Feedback Systems	Spring 2007
	6.331	Advanced Circuit Techniques	Spring 2002
	6.334	Power Electronics	Spring 2007
	6.336J	Introduction to Numerical Simulation (SMA 5211)	Fall 2003
	6.337J	Introduction to Numerical Methods	Fall 2006
	6.339J	Numerical Methods for Partial Differential Equations (SMA 5212)	Spring 2003
	6.341	Discrete-Time Signal Processing	Fall 2005
	6.345	Automatic Speech Recognition	Spring 2003
	6.370	Robocraft Programming Competition	January (IAP) 2005
	6.374	Analysis and Design of Digital Integrated Circuits	Fall 2003
	6.431	Probabilistic Systems Analysis and Applied Probability	Spring 2005
	6.431	Probabilistic Systems Analysis and Applied Probability	Spring 2006
	6.432	Stochastic Processes, Detection, and Estimation	Spring 2004
	6.435	System Identification	Spring 2005
	6.436J	Fundamentals of Probability	Fall 2005
	6.441	Transmission of Information	Spring 2003
	6.443J	Quantum Information Science	Spring 2006
	6.450	Principles of Digital Communications I	Fall 2006
	6.451	Principles of Digital Communication II	Spring 2005
	6.452	Principles of Wireless Communications	Spring 2006
	6.453	Quantum Optical Communication	Fall 2004
	6.524J	Molecular, Cellular and Tissue Biomechanics (BE.410J)	Spring 2003
	6.541J	Speech Communication	Spring 2004
	6.542J	Laboratory on the Physiology, Acoustics, and Perception of Speech	Fall 2005
	6.543J	The Lexicon and Its Features	Spring 2007
	6.551J	Acoustics of Speech and Hearing	Fall 2004
	6.555J	Biomedical Signal and Image Processing	Spring 2007
	6.561J	Fields, Forces, and Flows in Biological Systems (BE.430J)	Fall 2004
	6.581J	Foundations of Algorithms and Computational Techniques in Systems Biology	Spring 2006
	6.630	Electromagnetics	Fall 2006
	6.632	Electromagnetic Wave Theory	Spring 2003
	6.635	Advanced Electromagnetism	Spring 2003
	6.637	Optical Signals, Devices, and Systems	Spring 2003
	6.641	Electromagnetic Fields, Forces, and Motion	Spring 2005
	6.642	Continuum Electromechanics	Fall 2008
	6.651J	Introduction to Plasma Physics I	Fall 2003
	6.651J	Introduction to Plasma Physics I	Fall 2006
	6.661	Receivers, Antennas, and Signals	Spring 2003
	6.685	Electric Machines	Fall 2005
	6.690	Introduction to Electric Power Systems	Spring 2007
	6.691	Seminar in Electric Power Systems	Spring 2006
	6.720J	Integrated Microelectronic Devices	Spring 2007
	6.728	Applied Quantum and Statistical Physics	Fall 2006
	6.730	Physics for Solid-State Applications	Spring 2003
	6.763	Applied Superconductivity	Fall 2005
	6.772	Compound Semiconductor Devices	Spring 2003
	6.774	Physics of Microfabrication: Front End Processing	Fall 2004
	6.776	High Speed Communication Circuits	Spring 2005
	6.777J	Design and Fabrication of Microelectromechanical Devices	Spring 2007
	6.780	Semiconductor Manufacturing	Spring 2003
	6.780J	Control of Manufacturing Processes	Spring 2008
	6.781J	Submicrometer and Nanometer Technology	Spring 2006
	6.801	Machine Vision	Fall 2004
	6.803	The Human Intelligence Enterprise	Spring 2002
	6.803	The Human Intelligence Enterprise	Spring 2006
	6.804J	Computational Cognitive Science	Fall 2004
	6.821	Programming Languages	Fall 2002
	6.823	Computer System Architecture	Fall 2005
	6.824	Distributed Computer Systems Engineering	Spring 2006
	6.825	Techniques in Artificial Intelligence (SMA 5504)	Fall 2002
	6.826	Principles of Computer Systems	Spring 2002
	6.827	Multithreaded Parallelism: Languages and Compilers	Fall 2002
	6.828	Operating System Engineering	Fall 2006
	6.829	Computer Networks	Fall 2002
	6.830	Database Systems	Fall 2005
	6.831	User Interface Design and Implementation	Fall 2004
	6.833	The Human Intelligence Enterprise	Spring 2002
	6.833	The Human Intelligence Enterprise	Spring 2006
	6.834J	Cognitive Robotics	Spring 2005
	6.837	Computer Graphics	Fall 2003
	6.838	Algorithms for Computer Animation	Fall 2002
	6.840J	Theory of Computation	Fall 2006
	6.841J	Advanced Complexity Theory	Fall 2001
	6.844	Computability Theory of and with Scheme	Spring 2003
	6.852J	Distributed Algorithms	Fall 2005
	6.854J	Advanced Algorithms	Fall 2001
	6.854J	Advanced Algorithms	Fall 2005
	6.855J	Network Optimization	Spring 2003
	6.856J	Randomized Algorithms	Fall 2002
	6.857	Network and Computer Security	Fall 2003
	6.859	Integer Programming and Combinatorial Optimization	Fall 2004
	6.863J	Natural Language and the Computer Representation of Knowledge	Spring 2003
	6.864	Advanced Natural Language Processing	Fall 2005
	6.866	Machine Vision	Fall 2004
	6.867	Machine Learning	Fall 2006
	6.871	Knowledge-Based Applications Systems	Spring 2005
	6.872J	Medical Computing	Spring 2003
	6.872J	Engineering Biomedical Information: From Bioinformatics to Biosurveillance	Fall 2005
	6.873J	Medical Decision Support	Spring 2003
	6.873J	Medical Decision Support	Fall 2005
	6.874J	Computational Functional Genomics	Spring 2005
	6.875	Cryptography and Cryptanalysis	Spring 2005
	6.876J	Advanced Topics in Cryptography	Spring 2003
	6.877J	Computational Evolutionary Biology	Fall 2005
	6.881	Representation and Modeling for Image Analysis	Spring 2005
	6.883	Program Analysis	Fall 2005
	6.883	Pervasive Human Centric Computing (SMA 5508)	Spring 2006
	6.884	Complex Digital Systems	Spring 2005
	6.891	Computational Evolutionary Biology	Fall 2004
	6.892	Computational Models of Discourse	Spring 2004
	6.895	Theory of Parallel Systems (SMA 5509)	Fall 2003
	6.895	Essential Coding Theory	Fall 2004
	6.895	Computational Biology: Genomes, Networks, Evolution	Fall 2005
	6.896	Theory of Parallel Hardware (SMA 5511)	Spring 2004
	6.897	Selected Topics in Cryptography	Spring 2004
	6.911	Transcribing Prosodic Structure of Spoken Utterances with ToBI	January (IAP) 2006
	6.931	Development of Inventions and Creative Ideas	Spring 2008
	6.933J	The Structure of Engineering Revolutions	Fall 2001
	6.938	Engineering Risk-Benefit Analysis	Spring 2007
	6.946J	Classical Mechanics: A Computational Approach	Fall 2002
	6.971	Biomedical Devices Design Laboratory	Fall 2007
	6.972	Game Theory and Mechanism Design	Spring 2005
	6.972	Algebraic Techniques and Semidefinite Optimization	Spring 2006
	6.973	Organic Optoelectronics	Spring 2003
	6.973	Communication System Design	Spring 2006
	6.974	Fundamentals of Photonics: Quantum Electronics	Spring 2006
	6.976	High Speed Communication Circuits and Systems	Spring 2003
	6.976	NextLab I: Designing Mobile Technologies for the Next Billion Users	Fall 2008
	6.977	Semiconductor Optoelectronics: Theory and Design	Fall 2002
	6.977	Ultrafast Optics	Spring 2005
	6.978J	Communications and Information Policy	Spring 2006

Digital Communications

Home > Courses > Electrical Engineering and Computer Science > Principles of Digital Communications I

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Video Lectures

These video lectures are from the Fall 2003 offering of this course.

Video lecture files.

SES #	TOPICS
1	Introduction: A layered view of digital communication
2	Discrete source encoding
3	Memory-less sources, prefix free codes, and entropy
4	Entropy and asymptotic equipartition property
5	Markov sources and Lempel-Ziv universal codes
6	Quantization
7	High rate quantizers and waveform encoding
8	Measure, fourier series, and fourier transforms
9	Discrete-time fourier transforms and sampling theorem
10	Degrees of freedom, orthonormal expansions, and aliasing
11	Signal space, projection theorem, and modulation
12	Nyquist theory, pulse amplitude modulation (PAM), quadrature amplitude modulation (QAM), and frequency translation
13	Random processes
14	Jointly Gaussian random vectors and processes and white Gaussian noise (WGN)
15	Linear functionals and filtering of random processes
16	Review; introduction to detection
17	Detection for random vectors and processes
18	Theorem of irrelevance, M-ary detection, and coding
19	Baseband detection and complex Gaussian processes
20	Introduction of wireless communication
21	Doppler spread, time spread, coherence time, and coherence frequency
22	Discrete-time baseband models for wireless channels
23	Detection for flat rayleigh fading and incoherent channels, and rake receivers
24	Case study — code division multiple access (CDMA)