德克薩斯大學(xué)奧斯汀分校

Computational engineering is a relatively new field in engineering that recognizes the increasing demand for advanced computational methods in engineering practice. Computational engineering in this context refers to the study and development of computer algorithms that translate mathematical and physical descriptions of engineering problems into languages that computers can process. This emphasis distinguishes computational engineering from computer science and computer engineering. Computational engineers must have basic knowledge of fundamental engineering and science, with more advanced knowledge of mathematics, algorithms and computer languages. Because of their extensive education in these disciplines, computational engineers can work in a variety of areas.

The first two years of the computational engineering curriculum emphasize fundamental material along with engineering sciences, while the third and fourth years provides further depth in mathematics, algorithms, computer languages, and experimentation. The major offers technical electives in the third and fourth years where students may choose an industrial track or a post-baccalaureate track. The industrial track focuses on the applications of computer methods in industry, while the post-baccalaureate track prepares students for graduate study and research.

Program Outcomes

Computational engineering graduates should demonstrate:

• An ability to apply knowledge of mathematics, science, and engineering
• An ability to design and conduct experiments, as well as analyze and interpret data
• An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
• An ability to function on multidisciplinary teams
• An ability to identify, formulate, and solve engineering problems
• An understanding of professional and ethical responsibility
• An ability to communicate effectively
• The broad education necessary to understand what impact engineering solutions have in global, economic, environmental, and societal contexts
• A recognition of the need for and an ability to engage in lifelong learning
• A knowledge of contemporary issues
• An ability to use techniques, skills, and modern engineering tools necessary for engineering practice

Program Educational Objectives

Within a few years of graduation, computational engineering graduates should:

• Contribute to the economic development of Texas and beyond through the ethical practice of computational engineering in industry and public service
• Exhibit leadership in technical or business activity through engineering ability, communication skills, and knowledge of contemporary and global issues
• Continue to educate themselves through professional study and personal research
• Be prepared for admission to, and to excel in, the best graduate programs in the world
• Design systems to collect, encode, store, transmit, and process energy and information, and to evaluate system performance, either individually or in teams
• Use their engineering ability and creative potential to create technology that will improve the quality of life in society