Difference between revisions of "ISYE 3770"

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[[Category:Courses|^ISYE^ISYE]]
 
[[Category:Courses|^ISYE^ISYE]]
'''ISYE 3770: Statistics and Applications''' is a 3-credit course about applied statistics and probability, required for a number of majors. It is crosslisted with MATH 3670 and CEE 3770.
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'''ISYE 3770: Statistics and Applications''' is a 3 credit course in applied statistics and probability. It is cross-listed with [[MATH 3670]] and [[CEE 3770]].
 
== Workload ==
 
Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent MATH courses in probability and statistics.
 
   
 
== Topic List ==
 
== Topic List ==
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* Linear regression and multiple linear regression
 
* Linear regression and multiple linear regression
   
== Prerequisite Knowledge ==
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== Workload ==
 
Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent [[Mathematics|math]] courses in probability and statistics.
The official prerequisites are MATH 2401 or 2411 or 24X1 (Calculus III) and CS 1316 or equivalent. This list isn't comprehensive as I was able to take the course without either of those. I think MATH 2550 and CS 1331 are probably okay alternatives.
 

Revision as of 11:10, 5 August 2021

ISYE 3770: Statistics and Applications is a 3 credit course in applied statistics and probability. It is cross-listed with MATH 3670 and CEE 3770.

Topic List

The textbook used is Applied Statistics and Probability for Engineers by Montgomery and Runger, especially chapters 2 through 13.

  • Probability
  • Discrete random variables
  • Continuous random variables
    • Binomial, geometric, negative binomial, hypergeometric, Poisson, continuous uniform, normal, and exponential distributions
  • Joint probability distributions
  • Descriptive statistics
  • Sampling distributions and point estimation
  • Confidence intervals
  • Hypothesis testing
  • Statistical inference for two samples
  • Linear regression and multiple linear regression

Workload

Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent math courses in probability and statistics.