Part 1: Introduction to numerical skills

Part 2: Modern Approximation Skills

Part 3: Functional Problems and Solut ions to Numerical dynamic programming

Expected workload per week:

1 topic listed above

3 In-class Hours

4.5 Outside-of-class Hours

To be determined

Students will submit 

1. Midterm proposal (40%)

2. Final write-up research report (60%)

for the semester performance evaluation.

The lectures will be largely self-contained, but there are several useful texts that provide useful complements

to the material in the lectures. An especially valuable book is: Numerical Recipes in Fortran 77: The Art of

Scientific Computing, Second Edition (Vol- ume 1 of Fortran Numerical Recipes) by William H. Press, SaulA. Teukolsky, William T. Vetterling, and Brian P. Flannery (Cambridge University Press, 1992). This book,

as well as its companion Numerical Recipes in Fortran 90: The Art of Parallel Scientific Com- puting,

Second Edition (Volume 2 of Fortran Numerical Recipes), is available online at http://www.nr.com. Other

useful books include:

• Applied Computation al Economics and Finance by Mario J. Miranda and Paul L.Fackler (MIT Press,

2002).

• Nume rical Methods in Economics by Kenneth L. Judd (MIT Press, 1998).

• Dynamic Economics: Quantitative Methods and Applications by J´erˆome A dda and Russell Cooper (MIT

Press, 2003).

• Computation al Methods for the Study of Dynamic Economies , edited by Ramon Ma- rimon and Andrew

Scott (Oxford University Press, 1999).

• Handbook of Computational Economi cs (Volume 1), edited by Hans M. Amman, David A. Kendrick, and

John Rust (North-Holland, 1996).