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ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

Student Outcomes

Student Outcomes for BSEE and BSCE:

a). Ability to apply knowledge of mathematics, science, and engineering.
b). Ability to design and conduct experiments, as well as to analyze and interpret data.
c). 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.
d). Ability to function on multidisciplinary teams.
e). Ability to identify, formulate, and solve engineering problems.
f). Understanding of professional and ethical responsibility.
g). Ability to communicate effectively.
h). Broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
i). Recognition of the need for, and ability to engage in life-long learning.
j). Knowledge of contemporary issues.
k). Ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Student Outcomes for BSCS:

a). An ability to apply knowledge of computing and mathematics appropriate to the discipline.
b). An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
c). An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
d). An ability to function effectively on teams to accomplish a common goal.
e). An understanding of professional, ethical, legal, security and social issues and responsibilities.
f). An ability to communicate effectively with a range of audiences.
g). An ability to analyze the local and global impact of computing on individuals, organizations, and society.
h). Recognition of the need for and an ability to engage in continuing professional development.
i). An ability to use current techniques, skills, and tools necessary for computing practice.
j). An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
k). An ability to apply design and development principles in the construction of software systems of varying complexity.