News

Date Title Description
10/13/2017
GEA Trivia Night

Winning trivia teamOn October 13th, the Graduate Economics Association (GEA) hosted their annual Trivia Night at Dore Commons. The event provided students the opportunity to mingle over dinner and drinks, before a round of economic, Rice and Houston themed trivia.

This event marked the GEA's fourth of this year, alongside a happy hour, a coffee hour, and a welcome event for incoming students. This years graduate cohort features ten new students coming from seven different countries. The Rice Economic department wishes a warm welcome to the incoming students, listed below!

  • Yu-Kuan Chen (Taiwan, University of Oxford)
  • Navtej Dhaliwal (USA, Barcelona Graduate School of Economics)
  • Qinyou Hu (China, Duke University)
  • Robert idel (Germany, University of Mannheim)
  • Shinjae Jang (South Korea, Sungkyunkwan University)
  • Marcos Ki Hyung Lee (Brazil, University of Sao Paulo)
  • Zijun Liu (China, University of Mannheim)
  • Sen Lu (China, Fudan University)
  • Omer Faruk Sozbir (Turkey, London School of Economics)
  • Xiaoyu Yu (China, University of Wisconsin, Madison)
10/01/2017
Online Math Camp
This fall, the economics department will offer its popular online math and stat camp courses to the general public. This is the fourth time that the online math camp will be offered, and the third time that the online stat camp will be offered. The math camp will begin on October 9th, 2017 and the stat camp will begin on October 16th, 2017.
 
These math and stat camps are designed to provide individuals preparing to apply to PhD programs (both at Rice and others) with an opportunity to bolster their applications and demonstrate their commitment and ability to participate in rigorous PhD-level coursework and research.
 
The math camp will last for eight weeks and provides an extensive overview of real analysis, linear algebra, calculus, and difference and differential equations. The stat camp will last for seven weeks and covers probability theory, random variables, and large sample theory.