Quantization, wavefunctions, and Schrodinger's equation. Individual laboratory assignments accumulate in the construction of a minimal operating system (for an x86-based personal computer) that implements the basic operating system abstractions and a shell. Extension to moving materials. Acad Year 2021-2022: G (Fall)3-0-9 units. Professional perspective options include: internships (with industry, government or academia), industrial colloquia or seminars, research collaboration with industry or government, and professional development for entry into academia or entrepreneurial engagement. Students enrolled in the Ph.D. program may pursue a master's degree concurrently once they satisfy basic Ph.D. course requirements. Students enrolled in the MS in computer science may pursue a general track or choose from specializations in data analytics, high-performance computing, information security, mobile computing, or software engineering. Students apply concepts introduced in lectures and online assignments to design labs that include discussion-based checkoffs. Prereq: Permission of instructor U (Fall)Units arrangedCan be repeated for credit. The master's in CSE comprises 30 credits and an optional thesis. Methods of improving the robustness of algorithms to modeling errors and limited data are derived. Recommended prerequisite: 6.302. Dynamic programming as a unifying framework for sequential decision-making under uncertainty, Markov decision problems, and stochastic control. Same subject as 16.405[J]Prereq: ((1.00 or 6.0001) and (2.003[J], 6.006, 6.009, or 16.06)) or permission of instructor U (Spring)2-6-4 units. Performance evaluation of multicores; compilation and runtime systems for parallel computing. Circuit design styles for logic, arithmetic, and sequential blocks. Presents fundamentals and applications of hardware and software techniques used in digital and computational photography, with an emphasis on software methods. See description under subject 20.345[J]. Unconstrained optimization methods include gradient, conjugate direction, Newton, sub-gradient and first-order methods. Prereq: Permission of instructor G (Fall, Spring) Students engage in extensive oral and written communication exercises. Topics include computer graphics (geometry modeling, solid modeling, procedural modeling), physically-based simulation (kinematics, finite element method), 3D scanning/geometry processing, and an overview of 3D fabrication methods. Design of power circuits including inverters, rectifiers, and dc-dc converters. Incorporation of energy storage in power systems. The Department of Electrical Engineering and Computer Science permits qualified MIT undergraduate students to apply for one of three Master of Engineering (MEng) programs. Introduces the study of human language from a computational perspective, including syntactic, semantic and discourse processing models. Same subject as 2.791[J], 9.21[J], 20.370[J] Financial aid options for graduate students include fellowships; loans; scholarships; and paid appointments as student-teachers, tutors, and teaching aides. Acad Year 2021-2022: Not offered3-0-9 units. Advanced study of topics in computer systems. Lectures, laboratory exercises and projects on optical signal generation, transmission, detection, storage, processing and display. Same subject as HST.950[J]Prereq: 6.034, 6.036, or permission of instructor Acad Year 2020-2021: Not offered R. C. Miller, J. E. Greenberg, J. J. Leonard, Subject meets with 6.825Prereq: 6.003 or 6.004 U (Spring)3-3-6 units. Same subject as 16.413[J] To better serve the needs of prospective students, we are therefore increasingly offering filters that help you better use our rankings to find the schools that match your specific needs. Introduction to iOS game design and development for students already familiar with object-oriented programming. Prereq: 6.004 Acad Year 2020-2021: Not offered Because students tend to review a variety of information when choosing a school, the weight a student gives any one criterion will vary. EE and ECS students must complete a thesis approved by a graduate counselor and EECS. With an additional year of study and research beyond the master's level, a student in the doctoral or predoctoral program can complete the requirements for the degree of Electrical Engineer or Engineer in Computer Science. Limited to 24. Limited to graduate students participating in the 6-A internship program. Same subject as 16.410[J] Recommended prerequisite: 6.002, 18.03, or 24.900. Special consideration given to issues of efficiency and fault tolerance. Applications draw broadly from areas of contemporary interest with emphasis on both analysis and design. Term project using large clinical and genomic data sets integrates classroom topics. Subject meets with 6.047Prereq: (Biology (GIR), 6.006, and 6.041) or permission of instructor G (Fall)4-0-8 units. Prereq: 6.046[J] Acad Year 2020-2021: Not offered Mathematical models of psychophysical relations, incorporating quantitative knowledge of physiological transformations by the peripheral auditory system. Extensive use of engineering examples. Develops analytical skills to lead a successful technology implementation with an integrated approach that combines technical, economical and social perspectives. Students taking graduate version complete different assignments. Lectures are interactive, with students conducting sample MATLAB problems in real time. Fresnel and Fraunhoffer diffraction theory. Prereq: 6.033 and 6.042[J] G (Spring)4-0-8 units. Master of Engineering in Electrical Engineering and Computer Science (Course 6-P), Master of Engineering Thesis Program with Industry (Course 6-A), Master of Engineering in Computer Science and Molecular Biology (Course 6-7P), Master of Engineering in Computation and Cognition (Course 6-9P), Master of Science in Electrical Engineering and Computer Science, Electrical Engineer or Engineer in Computer Science, Doctor of Philosophy or Doctor of Science. The basis for the success of EECS graduates is a deep education in engineering principles, built on mathematical, computational, physical, and life sciences, and exercised with practical applications and project experiences in a wide range of areas. Covers basic techniques such as hypothesis-testing and regression models for both traditional experiments and newer paradignms such as evaluating simulations. Preference to students enrolled in the second year of the Gordon-MIT Engineering Leadership Program. Prereq: 6.031 and 6.042[J] G (Spring)3-0-9 units. Discrete and continuous random variables. This specialization prepares students to design, build, and maintain user-friendly software to fulfill specific needs. Concludes with network management and control, including the architecture and performance analysis of interconnected heterogeneous networks. Our list of accredited schools that offer bachelor's degrees for computer science online can help you find the best online computer science degree programs for 2021. For nuts-and-bolts information about colleges and universities, we look to the National Center for Education Statistics and especially its College Navigator. Enrollment limited. Develops a common conceptual framework based on invariants, abstraction, and modularity applied to state and labeled transition systems. Semester-long project and paper. Same subject as 9.611[J]Prereq: 6.034 Acad Year 2020-2021: Not offered This program is modeled on the 6-P program, but provides additional depth in computational biology through coursework and a substantial thesis. Students with research projects will be encouraged to share their experiences and project-specific questions. Laboratory exercises include the construction of drive circuitry for an electric go-cart, flash strobes, computer power supplies, three-phase inverters for AC motors, and resonant drives for lamp ballasts and induction heating. Offered under: 1.EPE, 2.EPE, 3.EPE, 6.EPE, 8.EPE, 10.EPE, 15.EPE, 16.EPE, 20.EPE, 22.EPEPrereq: 2.EPW or permission of instructor U (Fall, Spring)0-0-1 units, Engineering School-Wide Elective Subject. Discrete Fourier transform, DFT computation, and FFT algorithms. Acad Year 2021-2022: Not offered3-0-9 units. Subject meets with 2.750[J], 6.025[J]Prereq: 2.008, 6.101, 6.111, 6.115, 22.071, or permission of instructor G (Fall)3-0-9 units. Provides a comprehensive introduction to each life sciences problem, but relies upon students understanding probabilistic problem formulations. Advanced topics may include network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing. Same subject as 3.43[J]Prereq: 3.42 or 6.012 G (Fall)4-0-8 units. The Master of Engineering in Electrical Engineering and Computer Science (6-P) program is intended to provide the depth of knowledge and the skills needed for advanced graduate study and for professional work, as well as the breadth and perspective essential for engineering leadership in an increasingly complex technological world. The dual BS/MS in computer science encompasses five years of study and is intended for current computer science and computer engineering majors at UW or alumni who graduated within the last year. Students expected to attend the 6.801 lectures as well as occasional seminar meetings on special topics. Asymptotic analysis and large deviations theory. Subject meets with 2.75[J], 6.525[J], HST.552[J]Prereq: 2.008, 6.101, 6.111, 6.115, 22.071, or permission of instructor U (Fall)3-0-9 units. Principles of algorithm design, influential problems and techniques, and analysis of large-scale biological datasets. Students can pursue an MS or Ph.D. in computer science. Principles of switched capacitor networks including switched-capacitor and continuous-time integrated filters. Acad Year 2021-2022: G (Spring)3-3-6 units. HASS-A. Enrollment limited; priority to Statistics and Data Science minors, and to juniors and seniors. (Students who have been undergraduates in Electrical Engineering and Computer Science at MIT and who seek opportunities for further study must complete the Master of Engineering rather than the Master of Science degree program.) Students develop their own models and simulators for self-proposed applications, with an emphasis on creativity, teamwork, and communication. Combination of 6.0001 and 6.0002 counts as REST subject. Specific focus varies from year to year. Institute LAB. Introduces asymptotic analysis and information measures. Candidates with a master's, however, have a competitive edge in the job market. Introduces fundamental concepts for 6.003, including Fourier and Laplace transforms, convolution, sampling, filters, feedback control, stability, and Bode plots. Enrollment may be limited. Includes a project in which students build a circuit to display their own EKG. Provides background and insight to understand current network literature and to perform research on networks with the aid of network design projects. Kullback-Leibler distance and information geometry. Subject meets with 6.431Prereq: Calculus II (GIR) U (Fall, Spring)4-0-8 units. Familiarity with MATLAB recommended. Full-time assistants may register for no more than two scheduled classroom or laboratory subjects during the term, but may receive additional academic credit for their participation in the teaching or research program. Prereq: 6.046[J] or permission of instructor Acad Year 2020-2021: G (Fall) Students taking graduate version complete additional assignments. They may also offer access to journals, blogs, magazines, and newsletters that examine innovative computer science topics. Not offered regularly; consult department3-0-9 units, Prereq: Permission of instructor G (Fall, Spring)4-0-8 unitsCredit cannot also be received for 6.036. Develops algebraic and numerical approaches of general applicability, with a view towards methods that simultaneously incorporate both elements, stressing convexity-based ideas, complexity results, and efficient implementations. Focuses on machine learning model selection, robustness, and interpretation. Introduction to the design and implementation of large-scale digital systems using hardware description languages and high-level synthesis tools in conjunction with standard commercial electronic design automation (EDA) tools. Not offered regularly; consult department3-0-9 units. Specific focus varies from year to year. Prereq: 6.035 Acad Year 2020-2021: Not offered Prereq: None U (IAP) Basic electric machines introduced include DC, induction, and permanent magnet motors, with drive considerations. Uses concrete examples to illustrate particular computational issues in this area. High-dimensional nearest neighbor search and low-distortion embeddings between metric spaces. The doctoral program usually takes about four to five years beyond the master's level. Students engage in problem solving, using Mathematica and MATLAB software extensively to help visualize processing in the time frequency domains. Covers topics relevant to CMOS, bipolar, and optoelectronic device fabrication, including high k gate dielectrics, gate etching, implant-damage enhanced diffusion, advanced metrology, stress effects on oxidation, non-planar and nanowire device fabrication, SiGe and fabrication of process-induced strained Si. USC offers an MS in computer science with eight specializations: computer security, computer networks, software engineering, game development, high-performance computing and simulation, data science, intelligent robotics, and multimedia and creative technologies. Brown CS offers a master's and Ph.D. in computer science. Prereq: None G (Fall)Units arranged [P/D/F]. Topics include (a) genomes: sequence analysis, gene finding, RNA folding, genome alignment and assembly, database search; (b) networks: gene expression analysis, regulatory motifs, biological network analysis; (c) evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory. First third of course focuses on mass transport through membranes: diffusion, osmosis, chemically mediated, and active transport. Not offered regularly; consult department3-0-9 units. Explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Provides instruction in written and oral communication. The minor provides students with both depth and breadth in the field, as well as the opportunity to explore areas of their own interest. Acad Year 2021-2022: Not offered3-0-9 units. Presents innovative approaches to computational problems in the life sciences, focusing on deep learning-based approaches with comparisons to conventional methods. For an internship experience, an offer of employment from a company or organization is required prior to enrollment; employers must document work accomplished. Master of computer science degrees in cybersecurity emphasize information, software, and network security. Prereq: Permission of instructor U (Fall, Spring)Units arrangedCan be repeated for credit. Fundamental limits of block coding for noisy channels: capacity, dispersion, finite blocklength bounds. Programming experience with C/C++ required. Doctoral candidates must complete 10 semester-long courses, including eight in interdisciplinary subjects, and maintain full-time academic residency for at least two years at Harvard. This association hosts special interest groups on different areas of information technology. The department offers a variety of graduate, undergraduate, professional, and study-abroad learning opportunities, earning the school high marks among U.S. News and World Report's best national computer science programs. Acad Year 2021-2022: Not offered3-0-9 units. Acad Year 2021-2022: U (Fall)3-5-4 units. All Ph.D. applicants need prerequisites in core analysis of algorithms. Introduces the theory of error-correcting codes. Anatomical, physiological and clinical features of the cardiovascular, respiratory and renal systems. Ph.D. candidacy requires six graduate-level courses in core computer science research areas and two electives in non-computer-science disciplines. Introduces the Capabilities of Effective Engineering Leaders, and models and theories related to the capabilities. N. Gershenfeld, J. DiFrancesco, J. Lavallee, G. Darcey, Subject meets with 6.905Prereq: 6.034 or permission of instructor G (Spring)3-0-9 units, Same subject as 8.351[J], 12.620[J]Prereq: Physics I (GIR), 18.03, and permission of instructor G (Fall)3-3-6 units, Prereq: 6.921 or 6.922 G (Fall, Spring, Summer)0-12-0 units. Same subject as 2.792[J], HST.542[J] Upon completion of the internship the student must submit a letter from the employer evaluating the work accomplished, a substantive final report from the student, approved by the MIT supervisor. Prereq: 6.003 G (Fall)3-0-9 unitsCredit cannot also be received for 6.161. Enrollment may be limited. Degree-seekers also learn to test products and conduct research to determine product specifications. Introduction to probability theory. Individual research project arranged with appropriate faculty member or approved supervisor. Subject meets with 2.372[J], 6.777[J]Prereq: (Physics II (GIR) and (2.003[J] or 6.003)) or permission of instructor U (Spring) Illustrates a constructive (as opposed to a descriptive) approach to computer architecture. For example, students interested in machine learning would benefit from attending Carnegie Mellon, which has a dedicated machine learning department and offers over 40 core and affiliated faculty in the specialty. Introduction to fundamentals of game theory and mechanism design with motivations for each topic drawn from engineering applications (including distributed control of wireline/wireless communication networks, transportation networks, pricing). A strong background in computer science, whether through prior … Internal stability of interconnected systems, feedback compensators, state feedback, optimal regulation, observers, and observer-based compensators. Prereq: Calculus II (GIR), 18.06, and (6.837 or 6.869) G (Spring)3-0-9 units. Laboratory subjects, independent projects, and research provide engagement with principles and techniques of analysis, design, and experimentation in a variety of fields. Labs involve implementing and compromising a web application that sandboxes arbitrary code, and a group final project. Master's students must complete a thesis. At TheBestSchools.org, we keep track of such social and peer validation: "Making Sense of College Rankings." The department conducts a fall recruitment during which juniors who wish to work toward an industry-based Master of Engineering thesis may apply for admission to the 6-A program. Subject meets with 2.374[J], 6.717[J]Prereq: (Physics II (GIR) and (2.003[J] or 6.003)) or permission of instructor G (Spring) Examines the implications of work on brain scanning, developmental psychology, and cognitive psychology. Prereq: 6.013, 6.630, or 8.07 Acad Year 2020-2021: Not offered Limited to 100. Subject meets with STS.487Prereq: Permission of instructor U (Fall)3-0-9 units. Specific focus varies from year to year. Laboratory and computer exercises illustrate the concepts. Duke offers MS programs in computer science and economics and computation. Same subject as 2.180[J] Acad Year 2021-2022: G (Spring)3-0-9 units. The learning environment is blended learning and the moodle learning management system is going to be used. Unusual retail consumer behavior, such as hoarding toilet paper and food, was reported all over the world during March 2020 when the COVID-19 virus escalated into a pandemic (Miri et al., 2020; Wang et al., 2020).The presumed cause was not only the looming health threat of COVID-19 and possible risk of being quarantined, but also fears of the disease causing factories to … Image coding and compression. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods. Not offered regularly; consult departmentUnits arrangedCan be repeated for credit. Student-run advanced graduate seminar with focus on topics in communications, control, signal processing, optimization. The objective is to bring students to the research frontier. Prereq: None U (IAP) Before enrolling, students must have an employment offer from a company or organization and must find an EECS supervisor. Surveys substrate characterization and preparation, facilities, and metrology requirements for nanolithography. Students must pass a qualifying evaluation and general exam before researching, writing, and defending their dissertation. Prereq: Permission of instructor U (Fall, IAP, Spring, Summer)Units arrangedCan be repeated for credit. Study plans require prior approval. Introduces the theory and technology of micro/nano fabrication. Graduates of the dual program can earn both degrees in four years. Mechanisms of regulation and homeostasis. Intended for those with experience in other languages who have never used C or C++. Covers image representations, texture models, structure-from-motion algorithms, Bayesian techniques, object and scene recognition, tracking, shape modeling, and image databases. Integer data structures; word RAM. Prereq: 6.033 or permission of instructor G (Fall)4-0-8 units. Subject meets with 6.878[J], HST.507[J]Prereq: (Biology (GIR), 6.006, and 6.041B) or permission of instructor U (Fall)3-0-9 units. Considers what separates human intelligence from that of other animals. Engineering School-Wide Elective Subject. D. S. Boning, P. Jaillet, L. P. Kaelbling, Prereq: None U (IAP) Power flow using Poynting's theorem, force estimation using the Maxwell stress tensor and Principle of virtual work. The department also offers an MSE in computer and information science and an MSE in data science, in addition to a Ph.D. in computer and information science. Enrollment limited. Rigorous introduction to fundamentals of statistics motivated by engineering applications. Convergence notions and their relations. Bernoulli and Poisson process. This subject is complemented by a mathematics subject, and followed by a choice of three foundation courses from a set of subjects that provide the basis for subsequent specialization. We can therefore say that it’s usually quite difficult to get accepted to grad school at MIT. Among the nation's top-ranked doctoral programs in computer science, the Ph.D. program offers courses in Ithaca and New York City. These open seminars are excellent places to learn about the various research activities in the department. Recommended prerequisites: 6.006 and 18.06. The students come from various fields, including computer science, neuropsychology, and architecture. Focuses on "Internet of Things" (IoT) systems and technologies, sensing, computing, and communication. Introduces the methods used to measure human auditory abilities. Few restrictions are placed on materials, sensors, and/or actuators enabling teams to build robots very creatively. Prereq: 6.004 and 6.012 G (Fall)3-3-6 units. In the second half, students work in small groups to select, design, and execute independent projects in measurement or photography that apply learned techniques. Most Ph.D. candidates complete the degree in four to six terms, with the first three terms comprising major course requirements and the third term transitioning to field research. Students with other preparation seeking a master’s level experience in EECS at MIT should see the Master of Science program described later in this section. Ph.D. candidates must complete a thesis and a teaching assistantship. Subject meets with 6.701Prereq: 6.003 G (Fall) Surveys active areas of MR research. Prior coursework in basic probability and linear system theory recommended. Lecture material intersperses theory with practice. Enrollment may be limited. The MS program offers a thesis or non-thesis option, each comprising 30 credits in four of seven research areas. Prereq: None U (IAP)1-0-5 unitsCan be repeated for credit. Housed in NYU's world-renowned Courant Institute of Mathematical Sciences, the Computer Science Department boasts faculty with honors, including Turing Awards, Humboldt Prizes, and Guggenheim Fellowships. Enrollment limited. Same subject as EC.120[J]Prereq: None U (Fall, Spring)1-2-3 units. Prereq: None U (IAP)2-0-4 unitsCan be repeated for credit. See description under subject 2.EPW. Students taking graduate version complete different assignments. Provides sufficient background to implement solutions to photographic challenges and opportunities. Fundamentals of linear systems and abstraction modeling through lumped electronic circuits. The 6-A Master of Engineering Thesis Program with Industry combines the Master of Engineering academic program with periods of industrial practice at affiliated companies. Topics include waveform analysis and spectral analysis of speech; synthesis of speech; perception and discrimination of speech-like sounds; speech prosody; models of speech recognition; speech development; analysis of atypical speech; and others. Institute LAB. Lectures cover attacks that compromise security as well as techniques for achieving security, based on recent research papers. Introduction to the design and implementation of hardware architectures for efficient processing of deep learning algorithms in AI systems. The Department of Electrical Engineering and Computer Science (EECS) at MIT and its graduates have been at the forefront of a great many of these advances. The Wharton School Acceptance Rate. Such structures are crucial in particular for designing efficient algorithms. Topics include locking, scalability, concurrent data structures, multiprocessor scheduling, load balancing, and state-of-the-art synchronization techniques, such as transactional memory. Prereq: 6.436[J] and 6.867 G (Spring)3-0-9 units. Students are members of and lead teams, participate in guided reflections on individual and team successes, and discover opportunities for improvement in controlled settings. Acad Year 2021-2022: Not offered3-0-9 units. The power and sources of randomness in computation. Examines mathematical models for the quantification of auditory-based behavior and the relation between behavior and peripheral physiology, reflecting the tono-topic organization and stochastic responses of the auditory system. Boundary conditions and multi-region boundary-value problems. Subject meets with 6.874[J], 20.490, HST.506[J]Prereq: (7.05 and (6.0002 or 6.01)) or permission of instructor U (Spring)3-0-9 units. Bernoulli and Poisson processes. Topics include normal form games, supermodular games, dynamic games, repeated games, games with incomplete/imperfect information, mechanism design, cooperative game theory, and network games. Topics include protein-DNA interaction, chromatin accessibility, regulatory variant interpretation, medical image understanding, medical record understanding, therapeutic design, and experiment design (the choice and interpretation of interventions). Signals module includes modeling physical channels and noise, signal design, filtering and detection, modulation, and frequency-division multiplexing. A well-prepared student with a bachelor's degree in an appropriate field from some school other than MIT (or from another department at MIT) normally requires about one and one-half to two years to complete the formal studies and the required thesis research in the Master of Science degree program. Topics include Fourier series, Fourier transforms, the Discrete Fourier Transform, sampling, convolution, deconvolution, filtering, noise reduction, and compression. Subject meets with 6.802[J], 20.390[J], 20.490Prereq: Biology (GIR) and (18.600 or 6.041) Acad Year 2020-2021: Not offered Examples deal with limiting cases of electromagnetic theory, multi-port elements, filters and antennas. Enrollment may be limited. Enrollment limited. Consult department for details. Considers corporate and government viewpoints as well as international aspects, such as nuclear weapons proliferation and global climate issues. Prereq: None U (Fall, Spring)Units arrangedCan be repeated for credit. Master's in computer science students and graduates can take advantage of professional organizations. The application of electronics to energy conversion and control. Prereq: 6.002 U (Spring)2-9-1 units. Topics range from introductory semiconductor physics to modern state-of-the-art nano-scale devices. Prereq: 6.0001 G (Fall)4-3-5 unitsCredit cannot also be received for 6.034. Build autonomous poker players and aquire the knowledge of the game of poker. Acad Year 2021-2022: G (Fall)3-6-3 units. Applicants must submit transcripts, a statement of purpose, GRE scores, a resume, and three letters of recommendation. Limited to graduate students participating in the 6-A internship program. Enrollment limited. Develops leadership, teamwork and communication skills by exposing students to leadership frameworks, models, and cases within an engineering context in an interactive, practice-based environment. Same subject as IDS.136[J]Prereq: 6.431 and 18.06 Acad Year 2020-2021: Not offered Prereq: Permission of instructor U (Fall) The computer science department also ranks among the nation's top five producers of alumni hired into Silicon Valley jobs. Students explore topics like data mining, cryptography, and network structures as they relate to network, computer, and mobile security. Covers classical theory of linear programming as well as some recent advances in the field. Topics include polarization properties of light; reflection and refraction; coherence and interference; Fraunhofer and Fresnel diffraction; holography; Fourier optics; coherent and incoherent imaging and signal processing systems; optical properties of materials; lasers and LEDs; electro-optic and acousto-optic light modulators; photorefractive and liquid-crystal light modulation; display technologies; optical waveguides and fiber-optic communication systems; photodetectors.
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