New York University 2 credits Engineering
Introductory course in probability and statistics with an emphasis on how these topics are relevant in engineering disciplines. Topics in probability theory include sample spaces, and counting, random variables (discrete and continuous), probability distributions, cumulative density functions, rules and theorems of probability, expectation, and variance. Topics in statistics include sampling, central limit theorem, and linear regression. The course emphasizes correct application of probability and statistics and highlights the limitations of each method presented. NOTE: This course may be replaced with MATH-UH 1003Q or MATH-UH 2011Q Prerequisites: MATH-UH 1012 or MATH-UA 121 or MATH-UA 122 or MATH-UA 123 or MATH-UA 221 or MATH-UA 211 or MATH-SHU 131 or MATH-SHU 201 or MATH-SHU 151 or MA-UY 1024 or MA-UY 1124 or MA-UY 1324 or MA-UY 1424 or equivalent.
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