Digital Circuits Class

[Raina Giorno]

6002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. At MIT, 6.002 is in the core of department subjects required for all undergraduates in EECS.

The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points. The 6.002 content was created collaboratively by Profs. Anant Agarwal and Jeffrey H. Lang.

Both Electric Circuits and Digital Logic are important courses for an EE major. It ultimately depends on your interests and career goals. If you are interested in designing and analyzing electrical systems, then Electric Circuits would be a better choice. If you are interested in designing and programming digital systems, then Digital Logic would be more suitable.

Electric Circuits focuses on the study of circuits and their components, such as resistors, capacitors, and inductors. It also covers topics like Ohm's law, Kirchhoff's laws, and AC/DC analysis. Digital Logic, on the other hand, deals with the design and analysis of digital systems using logic gates, Boolean algebra, and digital circuits. It also covers topics like combinational and sequential logic, flip-flops, and memory elements.

Both courses can be challenging, but it ultimately depends on the individual student. Electric Circuits may be more math-heavy, while Digital Logic may require more critical thinking and problem-solving skills. It is important to attend lectures, participate in class, and practice problems regularly to succeed in either course.

It is recommended for EE majors to take both Electric Circuits and Digital Logic as they provide a strong foundation for future courses. Many upper-level courses in EE will build upon the concepts learned in these courses. Additionally, having knowledge in both areas will make you a well-rounded engineer in the field.

To prepare for these courses, it is beneficial to have a strong understanding of basic algebra and calculus. You can also review fundamental concepts in circuit analysis and logic gates. It is also helpful to familiarize yourself with circuit analysis software, such as SPICE or Multisim, and logic design software, such as Verilog or VHDL.

This course gives you a complete insight into the modern design of digital systems fundamentals from an eminently practical point of view. Unlike other more "classic" digital circuits courses, our interest focuses more on the system than on the electronics that support it. This approach will allow us to lay the foundation for the design of complex digital systems.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

E E 200 Undergraduate Research Exploration Seminar (1)

Weekly seminar featuring research primarily from within the Department of Electrical and Computer Engineering. Speakers include senior PhD students and postdocs as well as faculty from within the department. Provides students with an opportunity to connect with the broader research community in electrical and computer engineering. Credit/no-credit only.

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E E 233 Circuit Theory (5)

Electric circuit theory. Analysis of circuits with sinusoidal signals. Phasors, system functions, and complex frequency. Frequency response. Computer analysis of electrical circuits. Power and energy. Two port network theory. Laboratory in basic electrical engineering topics. Prerequisite: E E 215.

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E E 280 Exploring Devices (4)

Overview of modern electronic and photonic devices underlying modern electronic products including smartphones, traffic lights, lasers, solar cells, personal computers, and chargers. Introduction to modeling and principles of physics relevant to the analysis of electrical and optical/photonic devices. Prerequisite: either PHYS 122 or PHYS 142; recommended: either Python programming or Matlab; and Linux. Offered: AWSp.

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E E 331 Devices and Circuits I (5)

Physics, characteristics, applications, analysis, and design of circuits using semiconductor diodes and field-effect transistors with an emphasis on large-signal behavior and digital logic circuits. Classroom concepts are reinforced through laboratory experiments and design exercises. Prerequisite: 1.0 in E E 233.

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E E 332 Devices and Circuits II (5)

Characteristics of bipolar transistors, large- and small- signal models for bipolar and field effect transistors, linear circuit applications, including low and high frequency analysis of differential amplifiers, current sources, gain stages and output stages, internal circuitry of op-amps, op-amp configurations, op-amp stability and compensation. Weekly laboratory. Prerequisite: 1.0 in E E 331.

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E E 342 Signals, Systems, and Data II (4)

Review of basic signal processing concepts. Two-sided Laplace and z -transforms and connection to Fourier transforms. Modulation, sampling and the fast Fourier transform. Short-time Fourier transform. Multi-rate signal processing. Applications including inference and machine learning. Computer laboratory. Prerequisite: E E 242.

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E E 351 Energy Systems (5)

Develops understanding of modern energy systems through theory and analysis of the system and its components. Discussions of generation, transmission, and utilization are complemented by environmental and energy resources topics as well as electromechanical conversion, power electronics, electric safety, renewable energy, and electricity blackouts. Prerequisite: a minimum grade of 1.0 in E E 215.

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E E 391 Probability for Information and Communication Engineering (4)

Introduces probabilistic concepts for Electrical and Computer Engineering majors with applications to information/data science, signal processing, and communication systems. Includes accompanying Python labs that apply probabilistic concepts to these application domains. Prerequisite: E E 235 or E E 241; and MATH 126 or MATH 136.

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E E 393 Advanced Technical Communication (4)

Practical skills for day-to-day engineering communication as well as an advanced exploration of how to prepare persuasive documents and presentations for technical and non-technical audiences.

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E E 398 Introduction to Professional Issues (1)

Covers topics of interest to students planning their educational and professional path, including salaries, the value of advanced degrees, societal expectations of engineering professionals, the corporate enterprise, ethical dilemmas, patents and trade secrets, outsourcing, and the global market.

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E E 400 Advanced Topics in Electrical Engineering (1-5, max. 10)

Contemporary topics at the advanced undergraduate elective level. Faculty presents advanced elective topics not included in the established curriculum.

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E E 406 Teaching Engineering (3) DIV

Explores effective and inclusive teaching techniques in engineering and related STEM fields. Includes active and problem-based learning with attention to how racial, ethnicity, gender, and socioeconomic differences affect how students learn and interact with teachers (including faculty and teaching assistants).

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E E 414 Engineering Innovation in Health (3)

Introduces the role of Innovation and engineering in the design of medical devices and healthcare technologies, applicable both to medical practice and healthcare-focused engineering. May serve as the first course in a medically related senior design project sequence. Discusses medical practice, clinical needs finding, FDA regulation, insurance reimbursement, intellectual property, and the medical device design process. Recommended: M E 123 and M E 354. Offered: jointly with M E 414; A.

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E E 417 Modern Wireless Communications (4)

Introduction to wireless networks as an application of basic communication theorems. Examines modulation techniques for digital communications, signal space, optimum receiver design, error performance, error control coding for high reliability, mulitpath fading and its effects, RF link budget analysis, WiFi and Wimax systems. Prerequisite: E E 416

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