Methods to collect and analyze engineering data. Topics include: engineering data representation, discrete and continuous probability density functions, engineering measurements, error analysis, test of hypotheses, linear and nonlinear regression, and design of experiments. This course includes a significant laboratory component comprising: laboratory measurements and statistical analysis of electronic circuits, introduction to electronic device behaviour, instrument noise. Prerequisite: ((PHYS 121 and ENSC 120) or PHYS 141) and (MATH 251 and MATH 232), all with a minimum grade of C-. MATH 251 and/or MATH 232 may be taken concurrently with ENSC 280. Engineering Science Majors and Honours students are required to take ENSC 280 (no course substitutions will be accepted). Students with credit for STAT 270, MSE 210, SEE 241 or PHYS 231 cannot take this course for further credit.
Methods to collect and analyze engineering data. Topics include: engineering data representation, discrete and continuous probability density functions, engineering measurements, error analysis, test of hypotheses, linear and nonlinear regression, and design of experiments. This course includes a significant laboratory component comprising: laboratory measurements and statistical analysis of electronic circuits, introduction to electronic device behaviour, instrument noise. Prerequisite: ((PHYS 121 and ENSC 120) or PHYS 141) and (MATH 251 and MATH 232), all with a minimum grade of C-. MATH 251 and/or MATH 232 may be taken concurrently with ENSC 280. Engineering Science Majors and Honours students are required to take ENSC 280 (no course substitutions will be accepted). Students with credit for STAT 270, MSE 210, SEE 241 or PHYS 231 cannot take this course for further credit.
