Universitatea Babeş-Bolyai Cluj-Napoca
Facultatea de Matematică şi Informatică
Ciclul de studii: Masterat
Domeniul: Informatica
Programul de studii: Modelare şi simulare
Limba de predare: Engleză

SYLLABUS

I. General data
Code	Subject	
MC269	Computational Statistical Models 	

Semester	Hours: C+S+L	Category	Status	
1	2+2+1		compulsory	

II. Full status faculty members
Name and	Scientific	Didactic	Chair	Type of activity	
surname	title	title		C	S	L	
BLAGA Petru	Ph.D.	Prof.	Numerical and Statistical Calculus	*			

Associated faculty members
Name and	Scientific	Institution	Type of	Type of activity	
surname	title		position	C	S	L	

III. Course objectives
Knowledge and simulation of some statistical models oriented on software products	

IV. Course contents
1. Statistical models and software for statistical models: basics of probability and 
   statistics, random generators, Matlab procedures for probability and statistics. 
2. Procedures for  statistical data  representations: statistical tables, statistical 
   distributions, graphical presentations of statistical data.
3. Descriptive statistics by Matlab. Simulation by Matlab.
4. Models for statistical estimation: parameter estimators by maximum likelihood method, 
   and confidence intervals.  
5. Models for statistical hypotheses: hypotheses testing for expectations, hypotheses 
   testing for variances, goodness-of-fit tests, tests for two and more populations. 
6. Multiple linear regression: linear general model, Gauss-Markov model, classical 
   linear model. 
7. Generalized linear regression.
8. Analysis of variance: one way analysis, two-way analysis (without interaction, with 
   interaction).	

V. Bibliography
 1. Agratini, O., Blaga, P., Coman, Gh., Lectures on Wavelets, Numerical Methods, and 
    Statistics, Casa Cărţii de Stiinţă, Cluj-Napoca, 2005.
 2. Blaga, P., Statistică... prin Matlab, Presa Universitară Clujeană, Cluj-Napoca, 2002.
 3. Lebart, L., Morineau, M. G., Fenelon, J.-P., Traitment des donnees statistiques, 
    Dunod, Paris, 1982.
 4. Lehmann, E. L., Testing statistical hypotheses, Springer, New York, 1997.
 5. Montgomery, D. C., Peck, E. A., Vining, G. G., Introduction to linear analysis, John 
    Wiley & Sons (3rd ed.), New York, 2001.
 6. Saporta, G., Probabilites, analyse des donnees et statistique, Edition Technip, 
    Paris, 1990.
 7. Tassi, Ph., Methodes statistiques, Economica (2n ed.), Paris, 1989.
 8. Schverish, M. J., Theory of statistics, Springer, New York, 1995.
 9. Stapleton, J. H., Linear statistical models, John Wiley & Sons, New York, 1995.
10. Weerahndi, S., Exact statistical methods for data analysis, Springer, New York, 1994.	

VI. Thematic of didactic activities per weeks

VII. Didactic methods used

VIII. Assessment
Final grade consists from:
 Final written exam :           50%
 Activity during the semester : 25% 
 Evaluation of homeworks :      25%	

IX. Additional references

	Dean,							Chair head,

	Date,							Course responsible,
								Prof. BLAGA Petru, Ph.D.