Electrical Engineering, BSE

Electrical engineering connects the physical world with the information world. Electrical engineers apply physics and chemistry in modern nanotechnology devices, encode and manipulate information in circuits and networks, and mathematically understand and reason with large amounts of data in real time. This makes electrical engineering one of the broadest forms of engineering, resulting in a multitude of possible careers. The societal impact of electrical engineering can be found in numerous domains, from smartphones, 5G wireless, and medical imaging to electric/driverless cars and the Internet of Things. Electrical engineering includes the engineering of electrons, magnets, photons, electro-magnetic waves, quantum states, and electro-mechanical structures. Electrically engineering systems provide communication, sensing, actuation, display, storage, conversion, control, and computation. The electrical engineering discipline includes both the design and implementation of physical realizations (devices, circuits, antennas) and the mathematical tools for optimizing the exploitation of these systems (control theory, information theory, digital logic, signal processing).

For more information: https://www.seas.upenn.edu/prospective-students/undergrad/majors/electrical-engineering/

Electrical Engineering (EE) Major Requirements

37 course units are required.

Course List

Code	Title	Course Units
Engineering
CIS 110	Introduction to Computer Programming	1
ESE 111	Atoms, Bits, Circuits and Systems 1	1
CIS 120	Programming Languages and Techniques I	1
or CIS 240	Introduction to Computer Systems
ESE 215	Electrical Circuits and Systems	1.5
ESE 218	Electronic, Photonic, and Electromechanical Devices	1.5
ESE 224	Signal and Information Processing	1.5
Intermediate or Advanced ESE Elective		1
Advanced ESE courses
Choose four advanced electives from the following lists:		4-4.5
Circuits and Computer Engineering:
ESE 319	Fundamentals of Solid-State Circuits
ESE 350	Embedded Systems/Microcontroller Laboratory
ESE 370	Circuit-Level Modeling, Design, and Optimization for Digital Systems
ESE 419	Analog Integrated Circuits
ESE 516	IoT Edge Computing
ESE 532	System-on-a-Chip Architecture
ESE 568	Mixed Signal Circuit Design and Modeling
ESE 578	RFIC (Radio Frequency Integrated Circuit) Design
ESE 590	Systems Methodology
ESE 672	Integrated Communication Systems
Nanodevices and Nanosystems:
ESE 310	Electric and Magnetic Fields I
ESE 321	Physics and Models of Semiconductor Devices
ESE 330	Principles of Optics and Photonics
ESE 336	Nanofabrication of Electrical Devices
ESE 460	The Principles and Practice of Microfabrication Technology
ESE 510	Electromagnetic and Optics
ESE 521	The Physics of Solid State Energy Devices
ESE 523	Quantum Engineering
ESE 526	Photovoltaic Systems Engineering
ESE 611	Nanophotonics: Light at the Nanoscale
ESE 621	Nanoelectronics
ESE 673	Integrated Photonic Systems
Information and Decision Systems:
ESE 303	Stochastic Systems Analysis and Simulation
ESE 305	Foundations of Data Science
ESE 325	Fourier Analysis and Applications in Engineering, Mathematics, and the Sciences
ESE 407	Introduction to Networks and Protocols
ESE 500	Linear Systems Theory
ESE 501	Networking - Theory and Fundamentals
ESE 504	Intro to Linear, Nonlinear and Integer Optimization
ESE 505	Feedback Control Design and Analysis
ESE 512	Dynamical Systems for Engineering and Biological Applications
ESE 520	Agent-Based Modeling and Simulation
ESE 527	Design of Smart Systems
ESE 528	Estimation and Detection Theory
ESE 531	Digital Signal Processing
ESE 545	Data Mining: Learning from Massive Datasets
ESE 546	Priniples of Deep Learning
ESE 548	Transportation Planning Methods
ESE 550	Advance Transportation Seminar
ESE 567	Risk Analysis and Environmental Management
ESE 590	Systems Methodology
ESE 605	Modern Convex Optimization
ESE 650	Learning in Robotics
ESE 674	Information Theory
One of the Advanced Electives may be an Advanced ESE elective, BE 521 or CIS 471 or CIS 520
Design and Project Courses 2
ESE 290 & ESE 291	Introduction to Electrical and Systems Engineering Research Methodology and Introduction to Electrical and Systems Engineering Research and Design	1.5
or ESE 319	Fundamentals of Solid-State Circuits
or ESE 336	Nanofabrication of Electrical Devices
or ESE 350	Embedded Systems/Microcontroller Laboratory
or ESE 421	Control For Autonomous Robots
or BE 470	Medical Devices
ESE 450	Senior Design Project I - EE and SSE	1
ESE 451	Senior Design Project II - EE and SSE	1
Math and Natural Science
MATH 104	Calculus, Part I	1
MATH 114	Calculus, Part II	1
MATH 240	Calculus, Part III	1
ESE 301	Engineering Probability	1
MEAM 110	Introduction to Mechanics	1
or PHYS 140	Principles of Physics I (without laboratory)
or PHYS 150	Principles of Physics I: Mechanics and Wave Motion
or PHYS 170	Honors Physics I: Mechanics and Wave Motion
ESE 112	Engineering Electromagnetics	1.5
or PHYS 151	Principles of Physics II: Electromagnetism and Radiation
or PHYS 171	Honors Physics II: Electromagnetism and Radiation
CHEM 101	General Chemistry I	1
or EAS 091	Chemistry Advanced Placement/International Baccalaureate Credit (Engineering Students Only)
or BIOL 101	Introduction to Biology A
or BIOL 121	Introduction to Biology - The Molecular Biology of Life
Math Elective		1
Math or Natural Science Elective		1
Natural Science Lab (if applicable) 3		1
Professional Electives 4
Math, Science, or Engineering Electives		3
Professional Elective - Select from the following:		1
Math, Science, or Engineering Elective
ESE 400	Engineering Economics
EAS 545	Engineering Entrepreneurship I
EAS 595	Foundations of Leadership
MGMT 235
MGMT 237	Management of Technology
OIDD 236	Scaling Operations in Technology Ventures: Linking Strategy and Execution
General Electives 5
EAS 203	Engineering Ethics	1.0
Select 4 Social Science or Humanities courses		4
Select 2 Social Science or Humanities or Technology in Business & Society courses		2
Total Course Units		38

1	If not taken freshman year, must be replaced by another department approved engineering course.
2	If BE 470 is taken, an additional .5 CU engineering credit is required
3	If BIOL 121, CHEM 101, EAS 091, MEAM 110 or PHYS 140 are taken, choose one natural science lab from the list: BIOL 124 Introductory Organismal Biology Lab, PHYS 050 Physics Laboratory I, MEAM 147 Introduction to Mechanics Lab, CHEM 053 General Chemistry Laboratory I or another department approved Natural Science lab.
4	At most, two freshman-level engineering courses may be used as a Professional Elective
5	Must include a Writing Seminar (a list of approved Writing Seminars can be found in the SEAS Undergraduate Handbook)

Concentrations 

Students may select one of six concentrations:

• Data Science
• Microsystems and Nanotechnology
• Mixed-Signal and RF Integrated Circuits
• Photonics and Quantum
• Robotics
• System-on-A-Chip Design

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The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2020 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.

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