This course introduces students to the fundamentals of data analysis. The course starts with tools used to summarize and visualize data. The focus then shifts to fitting and parameter estimation. The derivation of estimators of parameters using both maximum likelihood and least-squares techniques are covered. Analysis of the statistical properties of estimators is also covered. The course includes hands-on exercises using MATLAB.
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
ENGR-UH 2010Q-000 (13292)10/20/2025 – 12/10/2025 Tue2:00 PM – 4:00 PM (Early afternoon)at Abu DhabiInstructed by
A site for IMA NY Students to find equivalent courses outside of IMA NY
For students joining IMA in Fall 2022 and beyond, our new program structure affects the categorization of courses on this site.
Classes listed in the “IMA Major Electives” categories refer to the old IMA program structure. If you’re under the new IMA program structure, these courses count as general IMA Electives for you. Your program structure is noted on your academic advising spreadsheet.
Students on the new program structure can search the Interchange for courses. If you’re looking for “IMA Major Distribution” courses, you'll find them listed here: