Course detail

LCE5783 - Introduction to the Programming Language Applied to Statistics


Credit hours

In-class work
per week
Practice
per week
Credits
Duration
Total
10
8
8
4 weeks
120 hours

Instructor
Edwin Moises Marcos Ortega
Elizabeth Mie Hashimoto

Objective
To enable the students in the solving process of essential statistics problems that require the use of computational resources through programming. Develop fundamentals and programming logic.

Content
Ementa: Study and development of functional programming and object oriented with development of algorithms inherent to the problems of Statistics. Contents:
- BOWMAN, C.F. Algorithms and data structures: An Approach in C. Oxford: Oxford University Press, 2004.
- CHAMBERS, J.M. Software for data analysis: Programming with R. New York: Springer, 2008.
- DALGAARD, P. Introductory statistics with R. New York: Springer, 2008.
- EFRON, B.; TIBSHIRANI, R.J. New York: Chapman & Hall, 1993.
- EFRON, B. The Jackknife, the Bootstrap, and other resampling plans. California: Stanford Univeristy, 1980.
- GENTLE, J.E. Random number generation and monte carlo methods. New York: Springer, 2009.
- JONES, O.; MAILLARDET, R.; ROBINSON, A. Introduction to scientific programming and simulation using R. New York: Champman & Hall, 2014.
- MATLOFF, N. The art of R programming: A tour of statistical software design. San Francisco: No Starch Press, 2011.
- ROSS, S.M. Simulation. 5.ed. California: Elsevier, 2013.

Bibliography
- BOWMAN, C.F. Algorithms and data structures: An Approach in C. Oxford: Oxford University Press, 2004.
- CHAMBERS, J.M. Software for data analysis: Programming with R. New York: Springer, 2008.
- DALGAARD, P. Introductory statistics with R. New York: Springer, 2008.
- EFRON, B.; TIBSHIRANI, R.J. New York: Chapman & Hall, 1993.
- EFRON, B. The Jackknife, the Bootstrap, and other resampling plans. California: Stanford Univeristy, 1980.
- GENTLE, J.E. Random number generation and monte carlo methods. New York: Springer, 2009.
- JONES, O.; MAILLARDET, R.; ROBINSON, A. Introduction to scientific programming and simulation using R. New York: Champman & Hall, 2014.
- MATLOFF, N. The art of R programming: A tour of statistical software design. San Francisco: No Starch Press, 2011.
- ROSS, S.M. Simulation. 5.ed. California: Elsevier, 2013.