MTH210a - 2024
Statistical Computing
This is the course webpage for MTH210a: Statistical Computing from 2023-24 Semester-II.
Students: Due to limited lab space availability, I am only able to allow DC students to take this course. Please do not email me requesting to take the course. There is nothing I can do.
Course expectations:
The topics will revolve around Monte Carlo simulations and Optimization methods, along with topics that combine the use of both together - details on the course outline will be uploaded soon. You must be proficient in R (or willing to devote time to be proficient).
Knowledge of elementary concepts in probability and statistics are a must: you must be familiar with the law of large numbers, central limit theorem, expectation, variance, bias, mean squared error, and basic distributions and their properties.
Information:
- First Course Handout
- Lectures: M (L07) Tu (L09) F (L09), all 10:00am - 11:00am
- Lab: W 10:00am - 11:00am in NCL 301
- R resources:
- Download R from CRAN website
- Download RStudio. (Optional, feel free to use the standard RScript or Terminal).
- R help: Video, forum, best resource.