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Program Outcome - ABET

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Mission:

Bachelor of Science in Computer Engineering aims to educate Computer engineers (CpE) who can apply the hardware skills of an electrical engineer with the software skills of a computer scientist in the design and development of computing based systems.

Program Educational Objectives	Program Outcomes
Have a successful career in computer engineering. Be prepared for advanced graduate level training as a masters or Ph.D. student in Electrical and Computer Engineering. Have a career in digital systems, digital signal processing, computer network, or VLSI. Have participated in the research, development, or application of engineering solutions that have had a positive impact on society. Have made contributions to workforce diversity. Have shown a commitment to life-long learning and continuous self improvement. Have become proficient in the oral and written communication of their work and ideas.	An ability to apply knowledge of mathematics, science, and engineering. An ability to design and conduct experiments, as well as to analyze and interpret data. An ability to design a system, component, or process to meet desired needs. An ability to function on multi-disciplinary 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 the impact of engineering solutions in a global and societal context. A recognition of the need for, and an ability to engage in life-long learning A knowledge of contemporary issues. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. A knowledge of probability and statistics as applied to electrical Engineering. A knowledge of mathematics through differential and integral calculus, basic sciences, and engineering sciences necessary to analyze and design complex electrical and electronics devices, software, and systems containing hardware and software component. A knowledge of advanced mathematics including differential equations, linear algebra and complex variables and discrete mathematics. A knowledge of computer science and computer engineering topics including advanced logic design, advanced programming, algorithms, computer architecture, data structures, and operating systems.

Program Educational Objectives

Program Outcomes

Have a successful career in computer engineering.
Be prepared for advanced graduate level training as a masters or Ph.D. student in Electrical and Computer Engineering.
Have a career in digital systems, digital signal processing, computer network, or VLSI.
Have participated in the research, development, or application of engineering solutions that have had a positive impact on society.
Have made contributions to workforce diversity.
Have shown a commitment to life-long learning and continuous self improvement.
Have become proficient in the oral and written communication of their work and ideas.

An ability to apply knowledge of mathematics, science, and engineering.
An ability to design and conduct experiments, as well as to analyze and interpret data.
An ability to design a system, component, or process to meet desired needs.
An ability to function on multi-disciplinary 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 the impact of engineering solutions in a global and societal context.
A recognition of the need for, and an ability to engage in life-long learning
A knowledge of contemporary issues.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
A knowledge of probability and statistics as applied to electrical Engineering.
A knowledge of mathematics through differential and integral calculus, basic sciences, and engineering sciences necessary to analyze and design complex electrical and electronics devices, software, and systems containing hardware and software component.
A knowledge of advanced mathematics including differential equations, linear algebra and complex variables and discrete mathematics.
A knowledge of computer science and computer engineering topics including advanced logic design, advanced programming, algorithms, computer architecture, data structures, and operating systems.