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This course covers decision making under uncertainty, focusing on topics such as evolutionary psychology, human biases, probabilistic thinking, risk taking, artificial intelligence, AI biases and algorithmic oppression. The skills learned in this class can aide students in decision making at both personal and societal levels. They can help students recognize cognitive and algorithmic biases and comprehend the social implications of these biases. Examples from everyday decisions, business/finance, economics/policy making, sports, and AI decision making are discussed. (Gen. Ed. SB, DU)

The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. Limited to ENGIN EE and CSE majors.

The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. Limited to ENGIN EE and CSE majors.

The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. Limited to ENGIN EE and CSE majors.

The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. Limited to ENGIN EE and CSE majors.

The theory of digital circuits and computer systems stressing general techniques for the analysis and synthesis of combinational and sequential logic systems. Limited to ENGIN EE and CSE majors.

A comprehensive introduction to computer programming with applications to various areas in electrical and computer engineering. Limited to ENGIN majors.

A comprehensive introduction to computer programming with applications to various areas in electrical and computer engineering. Limited to ENGIN majors.

A comprehensive introduction to computer programming with applications to various areas in electrical and computer engineering. Limited to ENGIN majors.