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MATH 410 Scientific Data Analysis I 3.0 Credits
Fundamental principles and applications of statistics for scientific data analysis. Topics include data exploration, principles of probability distributions, Central Limit Theorem, hypothesis testing, z, t and F tests, one-way analysis of variance, linear regression, and contingency table analysis. Programming statistical applications in R will be included.
Repeat Status: Not repeatable for credit
Prerequisites: MATH 122 [Min Grade: D] or MATH 239 [Min Grade: D]
Environmental Engineering BSENE / Peace Engineering MS
...and will not be accepted: MATH 310 , MATH 311 , MATH 410 , ECE 361 , BMES 310...
Civil Engineering BSCIV
http://catalog.drexel.edu/undergraduate/collegeofengineering/civilengineering/
...based on that score. *** MATH and PHYS sequences...or AE 550 , ENVE 410 or ENVE 421...