# COMPUTATIONAL TOOLS FOR ECONOMICS AND MANAGEMENT

Academic year
2017/2018
Official course title
COMPUTATIONAL TOOLS FOR ECONOMICS AND MANAGEMENT
Course code
ET2003 (AF:257913 AR:149608)
Modality
On campus classes
ECTS credits
6
Degree level
Bachelor's Degree Programme
Educational sector code
MAT/09
Period
3rd Term
Course year
1
Where
VENEZIA
Moodle
Go to Moodle page
This course aims at providing:
(a) better understanding of theory, techniques, and problems encountered in your math, stat and economic courses.
(b) the ability to "translate" a problem into workable R/Matlab code, get a numerical solution and provide insights on the relevant issues of the problem. Virtually all the models and exercises of your previous, loosely quantitative, courses are amenable to this "treatment".
(c) practical knowledge of the R/Matlab programming environment (see also http://cran.r-project.org/ ). Basic programming skills will be acquired, together with ideas on how to "compute" everything that has a formal structure (and can, say, be described in terms of functions, derivatives, integrals, estimates, graphs, optimization, utility...)
Mathematics; basic computer literacy and economic knowledge, examples will be drawn also from the other courses of the first year.
We will cover the following topics:

1) R/Matlab intro.
2) graphics, root-finding.
3) extremal points, optimization, constrained optimization.
4) state preference model and linear algebra.
5) simulation.

Active participation is required and computer experiments are needed to master the material and appreciate the potential of computational approaches for decision making and problem solving.
Afternotes by the teacher (up to a.y. 2015-2016, part of the material is downloadable at http://virgo.unive.it/paolop/ct2012/notesCT.pdf )

Suggested readings:

- "Using R for Scientific Computing" by Karline Soetaert (ZIP): lecture notes and reference card for R beginners, including exercises, http://cran.r-project.org/doc/contrib/Soetaert_Scientificcomputing.zip

- "The R Guide" (version 2.5) by Jason Owen, http://cran.r-project.org/doc/contrib/Owen-TheRGuide.pdf

- "The R book" by MIchael J Crawley, 2007, Wiley.
written and oral
Conventional + assigned exercises + group works (optional)
We will experiment a variety of learning tools to describe the topics and progress to the discussion of R/Matlab code to visualize, explore and solve the problem under scrutiny.

Students are required to actively participate, practice and do experiments on a PC to replicate the results and vary inputs and/or the model itself.
English
See also http://cran.r-project.org/ or http://www.r-project.org/ for info, documentation and downloads.
• Course with sustainable contents
• University credits of sustainability: 3
• Lecture notes, material for reference or for self-assessment available online or as e-book
• Use of open-source software
Last update of the programme: 15/03/2017