ENGS - Engineering Sciences - Undergraduate Courses

To view Engineering Sciences Undergraduate requirements, click here.

To view Engineering Sciences Graduate requirements, click here.

To view Engineering Sciences Graduate courses, click here.

• ENGS 1 Everyday Technology
• ENGS 1.01 Mathematical Concepts in Engineering
• ENGS 2 Integrated Design: Engineering, Architecture, and Building Technology
• ENGS 3 Materials: The Substance of Civilization
• ENGS 4 Technology of Cyberspace
• ENGS 5 Healthcare and Biotechnology in the 21st Century
• ENGS 6 Technology and Biosecurity
• ENGS 7 First-Year Seminars in Engineering Sciences
• ENGS 8 Materials in Sports Equipment
• ENGS 9 Everyday Technology
• ENGS 11 The Way Things Work: A Visual Introduction to Engineering
• ENGS 12 Design Thinking
• ENGS 13 Virtual Medicine and Cybercare
• ENGS 14 The Science and Engineering of Music
• ENGS 15 Undergraduate Investigations in Engineering
• ENGS 15.01 Senior Design Challenge I
• ENGS 15.02 Senior Design Challenge II
• ENGS 15.03 The Ecosystem for Bio-Innovation
• ENGS 15.04 Computing Before Electronics
• ENGS 15.05 Blockchain Explored: Promise, Pitfalls and Plumbing
• ENGS 15.06 Technology Entrepreneurship
• ENGS 15.07 Research Methods for Human-Centered Design
• ENGS 16 Biomedical Engineering for Global Health
• ENGS 17 Electronics for Musicians
• ENGS 17.04 Making Music: The Art, Science, and Symbolism of Musical Instruments
• ENGS 18 System Dynamics in Policy Design and Analysis
• ENGS 19 Microchips in Everyday Life
• ENGS 19.01 Future of Energy Systems
• ENGS 20 Introduction to Scientific Computing
• ENGS 21 Introduction to Engineering
• ENGS 22 Systems
• ENGS 23 Distributed Systems and Fields
• ENGS 24 Science of Materials
• ENGS 25 Introduction to Thermodynamics
• ENGS 26 Control Theory
• ENGS 27 Discrete and Probabilistic Systems
• ENGS 28 Embedded Systems
• ENGS 29 Computer-Aided Design and Kinematics
• ENGS 30 Biological Physics
• ENGS 31 Digital Electronics
• ENGS 32 Electronics: Introduction to Linear and Digital Circuits
• ENGS 33 Solid Mechanics
• ENGS 34 Fluid Mechanics
• ENGS 35 Biotechnology and Biochemical Engineering
• ENGS 36 Chemical Engineering
• ENGS 37 Introduction to Environmental Engineering
• ENGS 41 Sustainability and Natural Resource Management
• ENGS 43 Environmental Transport and Fate
• ENGS 44 Sustainable Design
• ENGS 45 Sustainable Urban Systems (Berlin)
• ENGS 46 Advanced Hydrology
• ENGS 50 Software Design and Implementation
• ENGS 52 Introduction to Operations Research
• ENGS 53 Intro to Quantum Technologies
• ENGS 56 Introduction to Biomedical Engineering
• ENGS 57 Intermediate Biomedical Engineering
• ENGS 58 Introduction to Protein Engineering
• ENGS 59 Basic Biological Circuit Engineering
• ENGS 60 Introduction to Solid-State Electronic Devices
• ENGS 61 Intermediate Electrical Circuits
• ENGS 62 Microprocessors in Engineered Systems
• ENGS 64 Engineering Electromagnetics
• ENGS 65 Engineering Software Design
• ENGS 66 Discrete Mathematics in Computer Science
• ENGS 67 Programming Parallel Systems
• ENGS 68 Introduction to Communication Systems
• ENGS 69 Smartphone Programming
• ENGS 71 Structural Analysis
• ENGS 72 Applied Mechanics: Dynamics
• ENGS 73 Materials Processing and Selection
• ENGS 75 Product Design
• ENGS 76 Machine Engineering
• ENGS 84 Reading Course
• ENGS 85.04 Hybrid Powertrain System Design
• ENGS 85.05 Biological Circuit Engg I
• ENGS 85.06 Biological Circuit Engg II
• ENGS 85.07 Practical Electrified Vehicle Engineering
• ENGS 85.08 Embedded Systems
• ENGS 85.09 Introduction to Computational Materials Science and Engineering
• ENGS 85.10 Mathematical Foundations for Machine Learning
• ENGS 85.11 Computer-Aided Design and Kinematics
• ENGS 86 Independent Project
• ENGS 87 Undergraduate Investigations
• ENGS 88 Honors Thesis
• ENGS 89 Engineering Design Methodology and Project Initiation
• ENGS 90 Engineering Design Methodology and Project Completion
• ENGS 91 Numerical Methods in Computation
• ENGS 92 Fourier Transforms and Complex Variables
• ENGS 93 Statistical Methods in Engineering
• ENGS 96 Mathematical Foundations for Machine Learning