IEOR E4101: Probability Stat & Simulation
Basic probability theory, including independence and conditioning, discrete and continuous random variable, law of large numbers, central limit theorem, and stochastic simulation, basic statistics, including point and interval estimation, hypothesis…
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Common aliases: IEOR E4101
Study Resources for Probability Stat & Simulation
Midterm (Exam 1) 2016
Midterm (Exam 2) 2009
Final Exam 2010
Midterm (Exam 1) 2017
Midterm (Exam 1) 2018
Midterm (Exam 1) 2019
Midterm (Exam 1) 2020
Worksheet 1
Assessment Inventory for IEOR E4101 (8 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2020 | Midterm | 2020 | Illustrative Archive |
| Midterm (Exam 1) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2018 | Midterm | 2018 | Illustrative Archive |
| Midterm (Exam 1) 2017 | Midterm | 2017 | Illustrative Archive |
| Midterm (Exam 1) 2016 | Midterm | 2016 | Illustrative Archive |
| Final Exam 2010 | Final | 2010 | Illustrative Archive |
| Midterm (Exam 2) 2009 | Midterm | 2009 | Illustrative Archive |
| Worksheet 1 | Worksheet | — | Illustrative Archive |
Complete inventory of all 8 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
Course Description
Basic probability theory, including independence and conditioning, discrete and continuous random variable, law of large numbers, central limit theorem, and stochastic simulation, basic statistics, including point and interval estimation, hypothesis testing, and regression; examples from business applications such as inventory management, medical treatments, and finance. A specialized version of IEOR E4150 for MSE and MSBA students.
This archive catalogs 8 free educational resources and past exams for IEOR E4101 (Probability Stat & Simulation) at Columbia University, containing 6 midterm papers, 1 final examination, and 1 worksheet. Dated documents represent 7 distinct academic years between 2009 and 2020.
Core Exam Topics & Learning Objectives
- Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in IEOR E4101
- Probability distributions: discrete (Binomial, Poisson, Geometric) and continuous (Normal, Uniform, Exponential) models
- Inferential statistics: Central Limit Theorem, confidence interval estimation, and hypothesis testing (t-tests, ANOVA, Chi-Square)
- Regression analysis: simple/multiple linear regression, correlation coefficients, R-squared, and residual diagnostics in Probability Stat & Simulation
Frequently Asked Questions
Which assessment formats are cataloged in this IEOR E4101 archive?
This collection for IEOR E4101 at Columbia University catalogs 8 total resources across the following formats: Midterms, Finals, Worksheets. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this IEOR E4101 collection?
Dated materials in this archive span from 2009 to 2020, representing 7 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free IEOR E4101 past exams?
All cataloged IEOR E4101 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Columbia University course syllabus.