PERSONAL INFORMATION


Marcelo Menezes Reis

Birth date: December 23, 1968.

Nationality: Brazilian.

Hometown: Tubarão, Santa Catarina, Brasil.

Associate Professor of Statistics.

Departamento de Informática e Estatística (Departament of Computer Science and Statistics).

Centro Tecnológico (Technological Center).

Universidade Federal de Santa Catarina (Federal University of Santa Catarina).

Campus Universitário, Trindade, CEP 88040-970

Phone : (+55) (48) 3721 7556 3721 9739 Fax: (+55) (48) 3721 9770

email: marcelo@inf.ufsc.br

homepage: http://www.inf.ufsc.br/~marcelo



EDUCATION

Graduate:

Doctorate in Production Engineering- UFSC, Florianópolis, Santa Catarina, Brasil.

Thesis "Model for Statistical Quality Control teaching" presented and approved on July, 10th, 2001.
 

Master's degree. in Electrical Engineering- UFSC, Florianópolis, Santa Catarina, Brasil.

Dissertation "Distribution and Transmission Power Systems Reliability under Data Uncertainty" presented and approved on October 27, 1993.
 
 

Undergratuate:

Electrical Engineering - Universidade Federal de Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brasil.

Conclusion: 1991.

Management- Escola Superior de Administração e Gerência (ESAG), Universidade para o Desenvolvimento do Estado de Santa Catarina (UDESC), Florianópolis, Santa Catarina, Brasil.

Conclusion: 1990
 


PROFESSIONAL EXPERIENCE


Since 1994 I taught the following courses:

INE5105 - Statistics I-A - 162 hours (management and accountancy).

INE5110 - Statistics I-B - 54 hours (architecture).

INE5108 - Statistics and Probability to Exact Sciences- 270 hours (mechanical engineering, automation engineering).

INE5111 - Applied Statistics I - 288 hours (library science).

INE5115 - Probability - 144 hours (production engineering).

INE5104 - Statistical Methods- 432 hours (production engineering and computer science).

INE5116 - Introduction to Statistics - 144 hours (economics)

INE5117 - Statistics Applied to Biological Sciences- 432 hours (biology).

INE5118 - Probability and Stochastic Processes - 864 hours (electrical engineering).

INE5121 (INE7001) - Statistics to Management I - 2448 hours (management).

INE5122 (INE 7002) - Statistics to Management II - 504 hours (management).

INE5125 - Statistical Methods I - 144 hours (accountancy).

INE6006 - Statistical Methods - 682 hours (computer science - graduate).

CEC3214 - Statistical Analysis - 180 hours (management - graduate).

MGA310002 - Statistical Methods for Evaluation - 190 hours (management and evaluation - graduate).
 


SPECIALIZED KNOWLEDGE


Probability theory.

Sampling and sampling distribution theory.

Exploratory data analysis.

Parametric statistics and nonparametrics statistics.

Statistical quality control.

Expert systems.

Power systems reliability.

Management techniques.


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