The mission of the undergraduate program in Aeronautics and Astronautics Engineering is to provide students with the principles and techniques necessary for success and leadership in the conception, design, implementation, and operation of aerospace and related engineering systems. Courses in the major introduce students to engineering principles. Students learn to apply this fundamental knowledge to conduct laboratory experiments and aerospace system design problems. Courses in the major include engineering fundamentals, mathematics, and the sciences, as well as in-depth courses in aeronautics and astronautics, dynamics, mechanics of materials, fluids engineering, and heat transfer. The major prepares students for careers in aircraft and spacecraft engineering, space exploration, air and space-based telecommunication industries, teaching, research, military service, and many related technology-intensive fields. Completion of the undergraduate program in Aeronautics and Astronautics leads to the conferral of the Bachelor of Science in Engineering. The subplan "Aeronautics and Astronautics" appears on the transcript and on the diploma.
The Engineering Physics program is designed for students who have an interest in and an aptitude for both engineering and physics. Students begin with a year of mathematics and calculus-based physics, and then proceed to depth courses in physics and engineering, as well as elective courses in a selected specialty area (Aerospace Physics, Biophysics, Computational Science, Electromechanical System Design, Energy Systems, Materials Science, Photonics, or Renewable Energy).
Science, Technology, and Society
Provides students with an interdisciplinary framework through which to understand the complex interactions of science, technology and the social world.
Learn electrical engineering principles along with the required supporting knowledge of mathematics, science, computing, and engineering fundamentals.
Mathematical and Computational Science
Study the mathematics basic to all the mathematical sciences and an introduction to concepts and techniques of computation, optimal decision making, probabilistic modeling and statistical inference.