Abet Expectations
What is ABET?
• Large number of educational institutions
• Provide a baseline for educational programs in different areas
• Indicate the knowledge level to be present in a graduate of a standard EE program
• Help instructors in evaluating their students
EE471 ABET Expectations
• A Graduate of the class EE471 will be evaluated based on the level of knowledge in the following areas:
– An ability to design AND conduct experiments, 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.
– The Graduate of the Electrical and Computer Engineering at King Abdulaziz University is expected to demonstrate an ability to function on multi-disciplinary teams.
– Demonstrate a recognition of the need for life-long learning and an ability to engage in it.
• Rubrics (Evaluation Criteria) – Lab safety
– Define objectives
– Selection of variables to measure – Data gathering
– Tool selection – Tool use
– Experimental procedures – Documentation
– Analysis and theory of operation – Measurement errors
– Additional (multiple) sources (if possible)
– Conclusion
Design, Conduct, Analyze, and Interpret
Experiment
• Outcome Elements
– Design a component to meet desired needs – Design a system to meet desired needs
– Design a process to meet desired needs.
• Engineering Design (ED) can be shortly described as fitting technology to society. Accreditation Board for Engineering and Technologies (ABET) gives the most comprehensive definition as
– It is the process of devising a system, component, or process to meet desired needs.
– It is a decision-making process (often iterative), in which the basic sciences, mathematics, and engineering sciences are applied to convert resources optimally to meet a stated objective.
Design a System to meet desired needs
System Design
• Rubrics
– Design strategy – Problem definition – Multiple approaches – Constraints
– Optimizing
– Holistic (integration) – Tools
– Documentation – Engineering
application – Practicality
