Your ESE Department Contact:

Staci Kaplan
Undergraduate Program Coordinator
Office: Room 203 Moore
Email: stacilk@seas.upenn.edu

 

Meet our ESE Students

Johnathan Chen, Class of 2019

Electrical Engineering at Penn can easily be thought of as "The Umbrella Major." It encompasses so many diverse subjects, allowing students to either specialize in one particular field or receive a broad understanding of different disciplines. The curriculum is structured so that students take the introductory courses in Circuitry, Nanosystems, and Decision Systems. READ MORE

ESE Undergraduate Programs

What is Electrical Engineering?

Electrical engineering (EE) connects the physical world with the information world.  

Electrical engineers can apply physics and chemistry in modern nanotechnology devices, can encode and manipulate information in circuits and networks, and can 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 very broad set of possible careers.  The societal impact of electrical engineering can be found in numerous domains, ranging from smartphones, to 5G wireless, to medical imaging, to electric as well as driverless cars, to the internet of things.

EE includes the engineering of electrons, magnets, photons, electro-magnetic waves, quantum states, and electro-mechanical structures. Electrically Engineered systems provide communication, sensing, actuation, display, storage, conversion, control, and computation.  EE's have given us audio and video capture, processing, storage, transmission, and reproduction, wireless, wired, and optical communications, gigabit and terabit data storage systems, gigahertz processors, radar, microwaves, micro- and nano-fabrication, medical sensing, ultrasound, MRI, personal health monitoring, autonomous robot control, solar cells and energy harvesting, LCDs, flat screens, and projection displays.  The EE 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).

See program requirements >>