Classes will start on August 24 and end on September 11.

 

Econ 508A

Econ 508A is a three-week course on essential mathematical tools for a first-year graduate student in Economics, Political Science or some of the Business disciplines.

Class Time: Mon-Fri 1:00 PM – 3:00 PM
Room: Online via Zoom
Tests: TBA

Instructor: Saumya Deojain
Email: deojain@wustl.edu
Office Hours: By appointment via email

Syllabus
Homework
Class Notes

Please visit here for past Math Camp syllabi, homework, and notes.

Econ 508B

Econ 508B is a three-week review class for incoming doctoral students in economics and other related fields. It aims to cover some of prerequisites for Introduction to Econometrics, Applied Econometrics, & Quantitative Methods in Economics and equips students with basic knowledge of probability and statistical concepts that are used in the first-year macro and micro core courses. In addition, this year I intend to incorporate a week series review of the state-of-the-art methodologies in Machine Learning, Deep Learning, and Natural Language Processing (NLP). It time permits, we can also go through some classical algorithms and data structure frequently used in Machine Learning via Python, such as BFS, DFS, Binary search and binary tree, Two pointers, Hash & Heap, dynamic programming, etc.

Classes: Mon-Sat 10: 00 AM – 12: 00 PM, Central Time (CT)
Room: Online via Zoom
Test: Sep. 11th, 2020

Instructor: Hongyi Liu
Email: hongyi.liu@wustl.edu
Office Hours: Sat., 10 AM – 12 PM

syllabus508B
HW1, HW2 , Algorithm1 , Final
Class Notes