Penn Engineering
Electrical and Systems Engineering (ESE) is an interdisciplinary, research-driven department within Penn Engineering whose mission is focused on synthesis of devices and design theory underlying the interface between the material world and the information and work humans seek to exchange with it and each other.
Penn ESE faculty drive progress in robotics, quantum engineering, artificial intelligence, and sustainable energy systems. Through pioneering research and personalized mentorship, they equip students to tackle complex challenges and thrive in roles that shape the future of technology and innovation.
Area of Expertise: Networks and artificial intelligence
Students Know Me For: Hard work, excellence and fun
I Want to Make An Impact In: the emergence of intelligent autonomous networks and the education of my young fellow citizens.
Area of Expertise: Computer Engineering.
Students Know Me For: FPGAs.
I Want to Make An Impact In: How we design, realize, and secure computations.
Area of Expertise: Power electronics and circuits.
Students Know Me For: Teaching a lab course in Detkin on how to build efficient power converters.
I Want to Make An Impact In: Developing smaller and more efficient power solutions to enable new energy, medical, and robotic applications.
The purpose of this course is to introduce students to the basic concepts of systems engineering, data sciences, and machine learning. The course will cover the engineering cycle and expose students to the notions of data, systems, models, decisions, and requirements. The course empowers students to use statistical analysis, signal processing, and optimization techniques to process data in decision making systems. It also empowers students to use machine learning techniques for the same purpose. The relative strengths of each approach are discussed. Students are exposed to techniques to process data with temporal, spatial, and network structure as well as to deterministic and Markov dynamical system models.
This course covers basic topics in electromagnetics, namely, electric charge, electric field, electric energy, conductors, insulators, dielectric materials, capacitors, electric current, magnetic field, inductors, Faraday’s law of induction, alternating current (AC), impedance, Maxwell’s equations, electromagnetic and optical wave propagation, with emphasis on engineering issues. Relevant topics are emphasized in our lectures in order to prepare students for other courses in ESE that rely on the contents on this course. Several laboratory experiments accompany the course to provide hands-on experience on some of the topics in the lecture and prepare students for the capstone project.
This course gives an introduction of modern electric and electronic circuits and systems. Designing, building and experimenting with electrical and electronic circuits are challenging and fun. It starts with basic electric circuit analysis techniques of linear circuits. Today mathematical analysis is used to gain insight that supports design; and more detailed and accurate representations of circuit performance are obtained using computer simulation. It continues with 1st order and 2nd order circuits in both the time and frequency domains. It discusses the frequency behavior of circuits and the use of transfer functions. It continues with introduction of non-linear elements such as diodes and MOSFET (MOS) transistors. Applications include analog and digital circuits, such as single stage amplifiers and simple logic gates. A weekly lab accompanies the course where concepts discussed in class will be illustrated by hands-on projects; students will be exposed to state-of-the-art test equipment and software tools (LabView, Spice).
