Penn Engineering Announces First Ivy League AI Undergraduate Degree

Penn Engineering Announces First Ivy League AI Undergraduate Degree

This week, the University of Pennsylvania School of Engineering and Applied Science announced its Bachelor of Science in Engineering in Artificial Intelligence degree. This is the first undergraduate AI major at an Ivy League university and one of the very first AI undergraduate engineering programs in the United States. The Raj and Neera Singh Program in Artificial Intelligence will prepare students for many jobs that don’t exist yet in fields that may be completely new or revolutionized by the time they graduate.

“Our carefully selected curriculum reflects the reality that AI has come into its own as an academic discipline, not only because of the many amazing things it can do, but also because we think it’s important to address fundamental questions about the nature of intelligence and learning, how to align AI with our social values, and how to build trustworthy AI systems.”
Zachary Ives, PhD, Chair, Department of Computer and Information Science, Penn Engineering

The rapid rise of AI is transforming every aspect of life. There is an urgent need for leading-edge AI engineers who understand the principles of AI and how to apply them in a responsible and ethical way in many areas including health, energy, transportation, robotics, computer vision, commerce, learning, and national security. Students in the program will learn how to develop responsible AI tools that can help accelerate knowledge and creativity, to help humans make transformative scientific discoveries. The program was made possible by technology visionaries Raj and Neera Singh. Their generosity provided funding to support leadership, faculty, and infrastructure for the new program.

Raj and Neera Singh
“Penn Engineering has long been a pioneer in computing and education, with ENIAC, the first digital computer, and the first Ph.D. in computer science. This proud legacy of innovation continues with Penn Engineering’s AI program, which will produce engineers that can leverage this powerful technology in a way that benefits all humankind. We are thrilled to continue investing in Penn Engineering and the students who can best shape the future of this field."
Raj and Neera Singh

Amy Gutmann Hall

The new program’s courses will be taught by world-renowned faculty in Amy Gutmann Hall, Penn Engineering’s newest building. The six floor (116,000 sq ft) $137 million building was named in honor of Amy Gutmann, Penn’s longest-serving President, who served from 2004 to 2022. Amy Gutmann Hall will be a hub for cross-disciplinary collaborations that harness research and data across Penn's 12 schools and numerous academic centers. The building includes state-of-the-art facilities including active learning classrooms, collaborative spaces for student projects, and a data science hub.

Amy Gutman Hall

Program Highlights

  • George J. Pappas, UPS Foundation Professor of Transportation at Penn Engineering, has been selected to lead the program.
  • The curriculum includes coursework in topics including machine learning, computing algorithms, data analytics, and advanced robotics.
  • The AI degree provides the mathematical and algorithmic foundations of AI techniques, along with hands-on experience in programming as well as using AI tools and foundation models.
  • Students will learn about intelligence from a cognitive science perspective, and they develop a sense of the issues and solutions required to responsibly develop AI to benefit society.
  • Students choose a concentration, ranging from machine learning, to vision and language, to data and society, to robotics, to AI and health systems.

George J. Pappas, UPS Foundation Professor of Transportation and Director of the Raj and Neera Singh Program in Artificial Intelligence

Curriculum and Courses

The new B.S.E in Artificial Intelligence program will begin in fall 2024, with applications for existing University of Pennsylvania students who would like to transfer into the 2024 cohort available this fall. Fall 2025 applications for all prospective students will be made available in fall 2024.

Mathematics and Natural Science (7 CUs):

  • MATH 1400: Calculus, Part I
  • MATH 1410: Calculus, Part II
  • CIS 1600: Mathematics of Computer Science
  • ESE 2040: Linear Algebra
  • ESE 3010: Probability or STAT 4300
  • ESE 4020: Statistics for Data Science
  • Natural science [1 CU, no lab requirement]

Computing (5 CUs):

  • CIS 1100: Python Programming
  • CIS 1200: Programming Languages
  • CIS 1210: Data Structures
  • CIS 3200: Algorithms
  • CIS 2450: Big Data

AI (14 CUs):

Students choose at least one course unit from each of the following six categories:

Introduction to AI

  • ESE 2000: Data, Systems, Decisions
  • CIS 4210: Introduction to Artificial Intelligence

Machine Learning

  • CIS 4190: Applied Machine Learning
  • CIS 5200: Machine Learning

Signals & Systems

  • ESE 2100: Dynamic Systems
  • ESE 2240: Signal and Information Processing

Optimization & Control

  • ESE 3040 Optimization
  • ESE 4210 Control For Autonomous Robots

Vision & Language

  • CIS 5810: Computer Vision & Computational Photography
  • CIS 5300: Natural Language Processing

AI Project (must have AI development, 30% of grade from term project)

  • ESE 3060: Deep Learning: A Hands-on Introduction
  • CIS 3500: Software Engineering
  • ESE 3600: Tiny Machine Learning
  • ESE 4210: Control for Autonomous Robots
  • CIS 5810: Computer Vision & Computational Photography
  • CIS 5300: Natural Language Processing
  • NETS 2120: Scalable and Cloud Computing

AI Electives:

In addition to the courses above, students will have an opportunity to take six AI courses selected from the list of approved courses below, along with the 1-year senior design sequence:

Machine Learning Electives

  • CIS 3333: Mathematics of Machine Learning
  • ESE 5460: Principles of Deep Learning
  • ESE 5140: Graph Neural Networks
  • ESE 4380: Machine Learning for Time-Series Data
  • ESE 6450: Deep Generative Models
  • CIS 6200: Advanced Deep Learning
  • CIS 6250: Computational Learning Theory
  • ESE 6740: Information Theory
  • CIS 7000: Trustworthy AI

Optimization, Systems, and Control Electives

  • ESE 3030: Stochastic Systems Analysis and Simulation
  • ESE 5000: Linear Systems Theory
  • ESE 5050: Control Systems
  • ESE 5060: Linear Optimization
  • ESE 6050: Modern Convex Optimization
  • ESE 6060: Combinatorial Optimization
  • ESE 6190: Model Predictive Control
  • ESE 6180: Learning for Dynamics and Control

Other AI Electives

  • MEAM 5200: Robotics
  • MEAM 6200: Advanced Robotics
  • ESE 6500: Learning in Robotics
  • ESE 6150: F1/10 Autonomous Racing Cars
  • CIS 4120: Human-Computer Interaction
  • CIS 5800: Machine Perception
  • CIS 5360: Computational Biology
  • BE 5210: Brain Computer Interfaces
  • CIS 4500: Databases
  • CIS 6500: Advanced Topics Databases
  • CIS 3990: Wireless and Mobile Sensing
  • NETS 3120: Theory of Networks
  • NETS 4120: Algorithmic Game Theory
  • ESE 4040: Engineering Markets

AI Concentrations:

The seven AI elective courses can be structured along AI concentrations depending on the interests of the student. Concentrations are optional and consist of four courses in a specific theme.

  • Robotics
  • Vision/Language
  • Machine Learning
  • Data/Society
  • Health/Systems

Senior Design (2 CU):

Rather than offering a specific course for senior design, AI majors will embed themselves into the ESE, CIS or other Penn Engineering senior design courses. This will enable AI students to apply their AI skills across many engineering challenges.

Technical Electives (3 CU):

Three course units from Engineering, Math, Natural Science or from the list here.

General Electives (8 CUs):

AI Ethics: Choose at least one of the following

  • CIS 4230: Ethical Algorithm Design
  • LAWM 5060: Machine Learning: Technology Law

Cognitive Science Elective: Choose at least one of the following

  • COGS 1001: Intro to Cognitive science
  • LING 0500: Introduction to Formal Linguistics
  • LING 2500: Introduction to Syntax
  • LING 3810: Semantics I
  • PSYC 0001: Introduction to Experimental Psychology
  • PSYC 1210: Introduction to Brain and Behavior
  • PSYC 1340: Perception
  • PSYC 1230: Cognitive Neuroscience
  • PSYC 1310: Language and Thought
  • PSYC 2737: Judgment and Decisions
  • PHIL 1710: Introduction to Logic
  • PHIL 2640: Introduction to Philosophy of Mind
  • PHIL 4721: Logic and Computability 1
  • PHIL 4840: Philosophy of Psychology

Additional cognitive science courses may be taken and counted towards the SS/H electives.

  • SS/H Electives: Five course units, including a writing course. Three of these courses must be Social Science or Humanities courses, and 2 can be Social Science, Humanities, or Technology in Business & Society courses.
  • Free Elective: One course unit from free electives.

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Copyright ? 2024 Margaretta Colangelo. All Rights Reserved.

This article was written by Margaretta Colangelo. Margaretta is a leading AI analyst who tracks significant milestones in AI in healthcare. She consults with AI healthcare companies and writes about some of the companies she consults with. Margaretta serves on the advisory board of the AI Precision Health Institute at the University of Hawai?i?Cancer Center @realmargaretta

Jeffrey Robens

Head of Community Engagement, Nature Portfolio | Publishing consultant passionate about supporting researcher development

1 年

I am sure more and more programs will be developed soon...and importantly too to ensure the responsible use of AI going forward. But always happy to see my alma mater leading the way! Go Penn!

Leda Lada

co-founder and consultant, boa solutions inc.

1 年

Hurrah for the Red and Blue! As with AI, the University of Pennsylvania has led the way in many cross-disciplinary fields like nanotechnology and bioengineering, with the first doctoral degree in Bioengineering in the nation awarded at Penn in 1953. Penn continues to foster the well-rounded ways that founder Benjamin Franklin insisted on, for all its students. Way to go, by the Singh family as well!

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