Hello, everyone: Although time does not permit, you can read the following, if any of you are interested in studying in the graduate school of the field of economics or related disciplines. Those courses are aimed for drilling your techniques. Basics (helpful for your studying in MA): 1. Programming ability like C++ A familiarity of a computer program helps you master Stata, SAS or Matlab, for it provides you an understanding of the language of a computer. An ability to communicate with your PC nowaday becomes indispensable when you have to do either empirical or theoretical research (e.g., calibration in macro.) in any field. 2. Linear algebra/ Ordinary differential equation and partial differential equation (ODE & PDE). The quickest way to learn mathematics may be to learn them from the college of science, the college of engineering, or the college of electronic engineering and information. For example, a sequence of engineering mathematics divided by three semesters includes: linear algebra for one, ODE and PDE for another, and complex function theory for the other. Though mathematics wont come as handy as programming, I recommand those for they are so much fundamental disciplines that you should take them as your general education like the role played by calculus. BTW, linear algebra should go first. 3. Econometrics and advanced statistics. Give mathematical statistics by S.S. Chen a try! Go back to learn econometrics (Statistics II) by M.C. Luoh this semester. The former provides tools for econometrics, the latter teaches you what under-graduate econometrics is and how to conduct an empirical study in half year. TA of econometrics by J.T. Liu http://r96323008ntu.blogspot.com/ Ref: http://gregmankiw.blogspot.com/2006/05/which-math-courses.html ※ 编辑: justplay 来自: 140.112.200.22 (01/19 21:55)