My Course Wish List at CMSE next year

August 30, 2012
By

(This article was first published on Pairach Piboonrungroj » R, and kindly contributed to R-bloggers)

Here is the list  of courses I wish to teach next year at Chiang Mai School of Economics, not so sure about the demand there!

Undergraduate (B.Econ.)

  1. ECON 304: Economics Statistics (with R)
  2. ECON 408: Research Design in Economics
  3. ECON 417: Managerial Economics
  4. ECON 419: Economic Theory and Entrepreneurship
  5. ECON 443: Industrial Economics
  6. ECON 4xx: Introduction to Economics of Logistics and Supply Chains (Pre: ECON 301 and Intro. to Business 703103)
  7. ECON 4xx: Introduction to Structural Equation Modeling for Economics (Pre: ECON 304) (with R)

Postgraduate

Master (M.Econ.)

  1. ECON 729: Applied Logistics and Supply Chain Economics (Selected Topic in Economic Theory)
  2. ECON 719: Applied  Structural Equation Modeling in Economics (Selected Topics in Quantitative Economics) (with R)

PhD

  1. ECON 829: Advanced Logistics and Supply Chain Economics (Selected Topic in General Economic & Theory)
  2. ECON 819: Advanced  Structural Equation Modeling in Economics (Selected Topics in Advanced Econometrics) (with R)

Filed under: Econometrics, Economics, R, Research Methods, Statistics, Structural Equation Modelling

To leave a comment for the author, please follow the link and comment on his blog: Pairach Piboonrungroj » R.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , , ,

Comments are closed.

Top 7 articles of the week

  1. Quandl Package - 5,000,000 free datasets at the tip of your fingers!
  2. Google Analytics + R = FUN!
  3. How R Grows
  4. Writing from R to Excel with xlsx
  5. Select operations on R data frames
  6. FasteR! HigheR! StongeR! - A Guide to Speeding Up R Code for Busy People
  7. AIC & BIC vs. Crossvalidation

Sponsors

Mango solutions
mango-solutions.com
Zero Inflated Models and Generalized Linear Mixed Models with R
Quantide: statistical consulting and training
RStudio homepage
RStudio: a free and open source IDE for R
REvolution analytics
HMS Analytical Software GmbH
http://www.eoda.de
Zero Inflated Models and Generalized Linear Mixed Models with R Zero Inflated Models and Generalized Linear Mixed Models with R. Zuur, Saveliev, Ieno (2012).