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Electrical Engineering Program

2017-18 UG Electrical Engineering Major Program

Associate Chair of Undergraduate Education: Robert Dutton, 333X Allen, rdutton@stanford.edu
Student Services: Meo Kittiwanich, 163 Packard, meo@ee.stanford.edu
Dept Chair: Abbas El Gamal, abbas@ee.stanford.edu
Student Advisor: 110 Packard, undergradta@ee.stanford.edu, 725-3799

The mission of the Department of Electrical Engineering is to augment the liberal education expected of all Stanford undergraduates, to impart a basic understanding of electrical engineering, and to develop skills in the design and building of systems that directly impact societal needs.

The program includes a balanced foundation in the physical sciences, mathematics and computing; presents core courses in electronics, information systems and digital systems; and develops specific skills in the analysis and design of systems. Students in the major have broad flexibility to select from disciplinary areas beyond the core, including hardware and software, information systems and science, and physical technology and science, as well as electives in multidisciplinary areas, including bio-electronics and bio-imaging, energy and environment, and music.

The program prepares students for a broad range of careers—both industrial and government—as well as for professional and academic graduate education. The educational objectives and student outcomes for the Department of Electrical Engineering are shown below in the Objectives section.

EE Program Sheet 2017-18

EE 4-Year Plans 2017-18

EE Flowchart 2017-18

Degree Requirements

Find current requirements for this and all other School of Engineering major programs at Explore Degrees

Math and Science Requirements

Minimum 40 units combined; 9 courses

It is a School of Engineering requirement that all courses counting toward the major must be taken for a letter grade if the instructor offers that option. Students with multiple degrees should be aware that math, science, and fundamentals courses can be used to fulfill breadth requirements for more than one degree program, but a depth course can be counted toward only one major or minor program; any course can be double-counted in a secondary major.

Math (minimum 26-27 units, 6-7 courses)

Course

Title

Units

MATH 19/20/21

Calculus  (or 10 units AP/IB Calculus credit)

10

Select one 2-course sequence. The MATH courses are more theoretical, while the CME courses are applied and build on programming and use of tools like MATLAB.

  CME 100/ENGR 154

  and

  CME 102/CME 155A

Vector Calculus for Engineers

and

Ordinary Differential Equations for Engineers

5

 

5

  MATH 51 (or 52)

  and

  MATH 53

Linear Algebra and Differential Calculus of Several Variables

and

Ordinary Differential Equations with Linear Algebra

5

 

5

EE Math: One additional 100-level Math course:

 EE 103/ CME 103

Introduction to Matrix Methods (Preferred)

3

  CME 104/ENGR 155B

Linear Algebra and Partial Differential Equations for Engineers

5

  MATH 113

Linear Algebra and Matrix Theory

3

  CS 103

Mathematical Foundations of Computing

3-5

Statistics/Probability: Select one. Choosing a statistics options depends upon your interest and preferences. The EE option below has a theoretical perspective; the CS option is more application-oriented.

  EE 178

Probabilistic Systems Analysis (Preferred)

4

  CS 109

Introduction to Probability for Computer Scientists

5

Science (minimum 12 units, 3 courses

Select one sequence:

Course

Title

Units

  PHYSICS 41

   and

  EE 42

Mechanics

and

Electricity & Magnetism Introductory Engineering Electromagnetics

4

 

5

or

 

 

  PHYSICS 41

   and

  PHYSICS 43*

Mechanics

and

Electricity & Magnetism

4

 

4

or

 

 

  PHYSICS 61

  and

  PHYSICS 63

Mechanics and Special Relativity

and

Electricity, Magnetism and Waves

4

 

4

* The EE introductory class ENGR 40A and ENGR 40B or 40M may be taken concurrently with PHYSICS 43; PHYSICS 43 is not a prerequisite for these courses. Many students find the material complimentary in terms of fundamental and applied perspectives on electronics.

Science Elective: One additional 4-5 unit science course from Approved List in UGHB, Figure 4-2

Technology in Society (1 course, minimum 3-5 units)
See the Approved Courses page for courses that fulfill the Technology in Society requirement. To fulfill the requirement, the TiS course must be on the SoE-Approved Courses list the year it is taken.

Engineering Topics

Minimum 60 units comprised of:

  • Engineering Fundamentals (minimum 10 units),
  • Core EE Courses (minimum 16 units)
  • Disciplinary Area (minimum 17 units)
  • Electives (minimum 17 units, restrictions apply)

Engineering Fundamentals (2 courses required; minimum 10 units)

  • CS 106B or X (same as ENGR 70B or X). Programming Abstractions (or Accelerated version); required, 5 units
  • Choose one or more Fundamentals course from the Approved List; Recommended: ENGR 40A and ENGR 40B or ENGR 40M (recommended before taking EE 101A); taking CS 106A or a second ENGR 40-series course not allowed for the Fundamentals elective. Choose from table in Undergraduate Handbook, Approved List.e.

Core EE Courses

  • EE 100. The Electrical Engineering Profession
  • EE 101A. Circuits I
  • EE 102A. Signal Processing and Linear Systems I
  • EE 108. Digital Systems Design
  • Physics of Electrical Engineering: Take one of
    --EE 65* Modern Physics for Engineers or

    *Note: Students may petition to have either PHYSICS 65 or the combination of PHYSICS 45 and PHYSICS 70 count as an alternative to EE 65

Writing in the Major (WIM)*: One course, 3-5 units

Course

Title

Units

EE 109

Digital Systems Design Lab

4

EE 133

Analog Communications Design Laboratory

4

EE 134

Introduction to Photonics

4

EE 153

Power Electronics

4

EE 155

Green Electronics

4

EE 168

Introduction to Digital Image Processing

4

EE 191W

Special Studies and Reports in Electrical Engineering (WIM; Departmental approval required)

May satisfy WIM only if taken as a follow-up to an REU or independent study project or as part of an Honors thesis project where a faculty agrees to provide supervision of writing a technical paper and with suitable support from the Writing Center.

3-4

 

EE 264W

Digital Signal Processing

5

CS 194W

Software Project

3

* A single course can concurrently meet the WIM and Design Requirements.

Design Course*: One Course, 3-5 units

EE 109

Digital Systems Design Lab

4

EE 133

Analog Communications Design Laboratory

4

EE 134

Introduction to Photonics

4

EE 153

Power Electronics

4

EE 155

Green Electronics

4

EE 168

Introduction to Digital Image Processing

3-4

EE 262

Two-Dimensional Imaging

3

EE 264**

Digital Signal Processing

3-4

EE 264W

Digital Signal Processing

5

EE 267**

Virtual Reality

3-4

CS 194

Software Project

3

CS 194W

Software Project

3

*Students may select their Design course from any Disciplinary Area.

** To satisfy Design, must take EE 264 or EE 267 for 4 units and complete the laboratory project.

Disciplinary Area (minimum 17 units, 5 courses: 1 WIM/Design, 1-2 Required, and 2-3 disciplinary area electives)

Hardware and Software

Required Courses

CS 107 

or

CS 107E

Computer Organization and Systems (prerequisite for EE 180)

 

Computer Systems from the Ground Up

3-5

EE 180

Digital Systems Architecture

4

Design Course

EE 109

Digital Systems Design Lab (WIM/Design)

4

EE 155

Green Electronics (Design)

4

EE 264

Digital Signal Processing (Design)

3-4

EE 264W

Digital Signal Processing (WIM/Design)

5

EE 267

Virtual Reality (Design)

3-4

CS 194W

Software Project (WIM/Design)

3

Electives (choose two):

EE 107

Embedded Networked Systems

3

EE 118

Introduction to Mechatronics

4

EE 213

Digital MOS Integrated Circuits

3

EE 271

Introduction to VLSI Systems

3

EE 272

Design Projects in VLSI Systems

3-4

EE 273

Digital Systems Engineering

3

EE 282

Computer Systems Architecture

3

EE 285

Embedded Systems Workshop

2

CS 108

Object-Oriented Systems Design

3-4

CS 110

Principles of Computer Systems

3-5

CS 131

Computer Vision: Foundations and Applications

3-4

CS 140

Operating Systems and Systems Programming

3-4

CS 143

Compilers

3-4

CS 144

Introduction to Computer Networking

3-4

CS 145

Introduction to Databases

3-4

CS 148

Introduction to Computer Graphics and Imaging

3-4

CS 149

Parallel Computing

3-4

CS 155

Computer and Network Security

3

CS 221

Artificial Intelligence: Principles and Techniques

3-4

CS 223A

Introduction to Robotics

3

CS 224N

Natural Language Processing with Deep Learning

3-4

CS 225A

Experimental Robotics

3

CS 229

Machine Learning

3-4

CS 231A

Computer Vision: From 3D Reconstruction to Recognition

3-4

CS 231N

Convolutional Neural Networks for Visual Recognition

3-4

CS 241

Embedded Systems Workshop

3

CS 244

Advanced Topics in Networking

3-4

Information Systems and Science

Required Course:

EE 102B

Signal Processing and Linear Systems II

4

Design Course:

EE 133

Analog Communications Design Laboratory (WIM/Design)

3-4

EE 155

Green Electronics (WIM/Design)

4

EE 168

Introduction to Digital Image Processing (WIM/Design)

3-4

EE 262

Two-Dimensional Imaging (Design)

3

EE 264

Digital Signal Processing (Design: To satisfy Design, must take EE 264 for 4 units and complete the laboratory project)

3-4

EE 264W

Digital Signal Processing

5

EE 267

Virtual Reality (Design)

3-4

Electives (choose three):

EE 107

Embedded Networked Systems

3

EE 118

Introduction to Mechatronics

4

EE 124

Introduction to Neuroelectrical Engineering

3

EE 169

Introduction to Bioimaging

3

EE 179

Analog and Digital Communication Systems

3

EE 261

The Fourier Transform and Its Applications

3

EE 263

Introduction to Linear Dynamical Systems

3

EE 266

Stochastic Control

3

EE 278

Introduction to Statistical Signal Processing

3

EE 279

Introduction to Digital Communication

3

CS 107

Computer Organization and Systems

3-5

CS 229

Machine Learning

3-4

ENGR 105

Feedback Control Design

3

ENGR 205

Introduction to Control Design Techniques

3

Physical Technology and Science

Required Course:

EE 101B

Circuits II 

4

Design Course:

EE 133

Analog Communications Design Laboratory (WIM/Design)

3-4

EE 134

Introduction to Photonics (WIM/Design)

4

EE 153

Power Electronics (WIM/Design)

3-4

EE 155

Green Electronics (WIM/Design)

4

EE 267

Virtual Reality (Design)

3-4

Electives (choose three):

EE 107

Embedded Networked Systems

3

EE 114

Fundamentals of Analog Integrated Circuit Design

3-4

EE 116

Semiconductor Device Physics

3

EE 118

Introduction to Mechatronics

4

EE 124

Introduction to Neuroelectrical Engineering

3

EE 136

Introduction to Nanophotonics and Nanostructures

3

EE 142

Engineering Electromagnetics

3

EE 212

Integrated Circuit Fabrication Processes

3

EE 213

Digital MOS Integrated Circuits

3

EE 214B

Advanced Analog Integrated Circuit Design

3

EE 216

Principles and Models of Semiconductor Devices

3

EE 222

Applied Quantum Mechanics I

3

EE 223

Applied Quantum Mechanics II

3

EE 228

Basic Physics for Solid State Electronics

3

EE 236A

Modern Optics

3

EE 236B

Guided Waves

3

EE 242

Electromagnetic Waves

3

EE 247

Introduction to Optical Fiber Communications

3

EE 271

Introduction to VLSI Systems

3

EE 272

Design Projects in VLSI Systems

3-4

EE 273

Digital Systems Engineering

3

EE 282

Computer Systems Architecture

3

CS 107

Computer Organization and Systems

3-5

Electives (3-4 courses; minimum 17 units)

Students may select electives from the disciplinary areas; from the multidisciplinary elective areas; or any combination of disciplinary and multidisciplinary areas. Electives may include up to two additional Engineering Fundamentals, any CS 193 course and any letter graded EE courses. Freshman and Sophomore seminars, EE 191 and CS 106A do not count toward the 60 units. Students may have fewer elective units if they have more units in their disciplinary area.

Bio-Electronics and Bio-Imaging

EE 101B

Circuits II 

4

EE 102B

Signal Processing and Linear Systems II

4

EE 107

Embedded Networked Systems

3

EE 124

Introduction to Neuroelectrical Engineering

3

EE 134

Introduction to Photonics (WIM/Design)

4

EE 168

Introduction to Digital Image Processing (WIM/Design)

3-4

EE 169

Introduction to Bioimaging

3

EE 225

Biochips and Medical Imaging

3

BIOE 131

Ethics in Bioengineering

3

BIOE 248

Neuroengineering Laboratory

3

MED 275B

Biodesign: Medical Technology Innovation

4

Energy and Environment

EE 101B 

Circuits II

4

EE 116

Semiconductor Device Physics

3

EE 134

Introduction to Photonics (WIM/Design)

4

EE 151

Sustainable Energy Systems

3

EE 153

Power Electronics (WIM/Design)

3-4

EE 155

Green Electronics (WIM/Design)

4

EE 168

Introduction to Digital Image Processing (WIM/Design)

3-4

EE 180

Digital Systems Architecture

4

EE 263

Introduction to Linear Dynamical Systems

3

EE 293A/MATSCI 156

Solar Cells, Fuel Cells, and Batteries: Materials for the Energy Solution

3-4

EE 293B

Fundamentals of Energy Processes

3

CEE 107A

Understanding Energy (Formerly CEE 173A)

3-5

CEE 155

Introduction to Sensing Networks for CEE

3-4

CEE 176A

Energy Efficient Buildings

3-4

CEE 176B

Electric Power: Renewables and Efficiency

3-4

ENGR 105

Feedback Control Design

3

ENGR 205

Introduction to Control Design Techniques

3

MATSCI 142

Quantum Mechanics of Nanoscale Materials (Formerly MATSCI 157)

4

MATSCI 152

Electronic Materials Engineering

4

MATSCI 156

Solar Cells, Fuel Cells, and Batteries: Materials for the Energy Solution

3-4

ME 185

Electric Vehicle Design

3

ME 227

Vehicle Dynamics and Control

3

ME 271E

Aerial Robot Design

3

Music

EE 102B

Signal Processing and Linear Systems II

4

EE 109

Digital Systems Design Lab (WIM/Design)

4

EE 264

Digital Signal Processing (Design)

4

EE 264W

Digital Signal Processing (WIM/Design)

5

MUSIC 250A

Physical Interaction Design for Music

3-4

MUSIC 250B

Interactive Sound Art

1-4

MUSIC 256A

Music, Computing, Design I: Art of Design for Computer Music

3-4

MUSIC 256B

Music, Computing, Design II: Virtual & Augmented Reality for Music

3-4

MUSIC 257

Neuroplasticity and Musical Gaming

3-5

MUSIC 320A

Introduction to Audio Signal Processing Part I: Spectrum Analysis

3-4

MUSIC 320B

Introduction to Audio Signal Processing Part II: Digital Filters

3-4

MUSIC 420A*

Signal Processing Models in Musical Acoustics

3-4

MUSIC 421A*

Audio Applications of the Fast Fourier Transform

3-4

MUSIC 422*

Perceptual Audio Coding

3

MUSIC 424*

Signal Processing Techniques for Digital Audio Effects

3-4

* Best taken as a coterm student.

Research Experience for Undergraduates (REU)

The Electrical Engineering Department at Stanford University invites undergraduates majoring in EE to participate in its REU Summer Program from June through August. The program is designed to give undergraduates an opportunity to work with members of the EE Faculty and their research groups on advanced research topics.

Program Structure: The program is designed to give both an in-depth research experience on a particular topic, as well as a broad hands-on exposure to various areas within EE. Bi-weekly seminars are offered to cover a wide range of topics. The seminar series lecturers are comprised of EE faculty and industry guests. Discussions will include topics such as graduate education, internships and career opportunities. Each student receives a summer stipend. Students must secure their own housing for the summer and they have the option to live on or off campus.
Presentations: The last week of the summer program will be devoted to preparing a final presentation and creating a poster on the research project. The students will have an oral presentation and a poster session, to which the EE community will be invited.

Application Procedure: For information about our application process, please go to the REU website.

REU Requirements: Available to enrolled Stanford undergraduate students only. Students must be declared EE majors by the start of the program. With the exception of coterm students, students may not be seniors when they apply. In the event the number of applicants exceeds the number of spaces available, preference is given to first time participants. All REU program inquiries can be directed to reu@ee.stanford.edu.

Study Abroad Program

Stanford’s Overseas Studies Program is a great opportunity for students to build their language and cultural skills abroad. Some of the most popular programs with Electrical Engineering students are in China, Japan and Germany. In many cases there are summer job opportunities as well. Each program has different and specific language requirement that may require early and careful planning. For example, the core classes may be offered during quarters that conflict with the study abroad. For more information, see the Overseas Studies.

Objectives and Outcomes For Electrical Engineering

Objectives:

  1. Technical Knowledge: Provide a basic knowledge of electrical engineering principles along with the required supporting knowledge of mathematics, science, computing, and engineering fundamentals. The program must include depth in at least one specialty area, currently including Bio-electronics and Bio-imaging; Circuits and Devices; Computer Hardware; Computer Software; Energy and Environment; Music; Photonics, Solid State, and Electromagnetics; and Signal Processing, Communications and Control.
  2. Laboratory and Design Skills: Develop the basic skills needed to perform and design experimental projects. Develop the ability to formulate problems and projects and to plan a process for solutions taking advantage of diverse technical knowledge and skills.
  3. Communications Skills: Develop the ability to organize and present information, and to write and speak effective English.
  4. Preparation for Further Study: Provide sufficient breadth and depth for successful subsequent graduate study, post-graduate study, or lifelong learning programs.
  5. Preparation for the Profession: Provide an appreciation for the broad spectrum of issues arising in professional practice, including teamwork, leadership, safety, ethics, service, economics, and professional organizations.

Outcomes:

(a) An ability to apply knowledge of mathematics, science, and engineering
(b) An ability to design and conduct experiments, as well as to analyze and interpret data
(c) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
(d) An ability to function on multi-disciplinary teams
(e) An ability to identify, formulate, and solve engineering problems
(f) An understanding of professional and ethical responsibility
(g) An ability to communicate effectively
(h) The broad education necessary to understand he impact of engineering solutions in a global, economic, environmental, and societal context
(i) A recognition of the need for, and an ability to engage in, life-long learning
(j) A knowledge of contemporary issues
(k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
(l) Background for admission to engineering or other professional graduate programs

Coterm Deadlines and Contact

Dept Application Deadlines Contact Website
Electrical Engineering 10/17/17 for Win 17-18 1/23/18 for Spr 17-18 5/1/18 for Sum 17-18 5/1/18 for Aut 18-19 LaToya Powell http://ee.stanford.edu/admissions

Declaring EE as a Major

  1. Log into Axess and choose the EE major to declare. Do not choose the Honors option in Axess unless you have submitted an Honors application to the department along with the thesis proposal.
  2. Complete a copy of the Undergraduate Sign-Up Sheet. The "Area of Interest" is particularly important to assist in the choice of a faculty advisor. It can always be changed.
  3. Meet with the Associate Chair of Undergraduate Education: Please send an email to rdutton@stanford.edu to make an appointment. Make sure to bring your Major Declaration Form, unofficial transcript, and academic file (if available from your previous advisor) to the meeting. The purpose of the meeting is to go over the basics of getting a BS in EE, and to assign an EE faculty advisor.
  4. After the meeting, bring your Major Declaration Form to the EE Degree Progress Officer in Packard 163, who will approve your major declaration and enter your advisor's name in Axess. The Degree Progress Officer will also add your email to the EE undergraduate email list (also part of the department-wide student email list). These lists are used for announcements about academic requirements, seminars, research opportunities, and other events.