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Machine Intelligence

The course covers techniques and applications of artificial intelligence and machine learning; representation retrieving and application of knowledge for problem solving. Topics typically include hypothesis exploration, theorem proving, vision, Bayesian learning, decision trees, genetic algorithms, neural networks.

Course ID
ECEN425
Level
Undergraduate
Professors
Credit Hours
CH:3

Identify, formulate, and solve complex engineering problems by applying engineering fundamentals, basic science and mathematics.Practice research techniques and methods of investigation as an inherent part of learning.Design, model and analyze an electrical, electronic, microwave and optical system or component for a specific ICT application and identify the tools required to optimize this design.Evaluate the performance and suitability of an electrical and electronic system and circuit under specific input excitation.Apply numerical modeling methods to engineering problems.