Units: 1
Lectures: McCullough, 122 , Tuesdays, 2:15-3:30pm
Coordinator: Dimitry Gorinevsky, Packard 233, (650) 724-6783, gorin@stanford.edu
Office hours: Thursdays, 3 pm to 4 pm, Packard 233
Administrative Assistant: Denise Murphy, Packard 267, (650) 723-4731, Fax (650) 723-8473, denise@ee.stanford.edu.
Textbook and optional references: There is no textbook. Lecture notes will be available in Adobe acrobat (pdf) from the class web page, www.stanford.edu/class/ee392m.
Course requirements:
Homework: This is a seminar course and no homework will be assigned.
Grading: CR/NC
Prerequisites: (helpful but not mandatory) Stat 116; EE263 or Eng 207a; EE278 or Eng 207b
Catalog description: The course will overview practice of diagnostic systems engineering. It will emphasize approaches that are usually referred to as ‘advanced’ in industry. Knowledge of diagnostics could be helpful for industrial careers of graduates in engineering and computer science. Students in-terested in mathematics of engineering systems would benefit from learning about real-life im-plementation constraints. The course will consist of guest lectures given by experts from several key industries, such as aerospace, automotive, semiconductor manufacturing, networking, and enterprise computing.