Babes-Bolyai University of Cluj-Napoca
Faculty of Mathematics and Computer Science
Study Cycle: Graduate
SUBJECT

Code	Subject	
MMP0007	Experimental Data Processing	

Section	Semester	Hours: C+S+L	Category	Type	
Information engineering	8	3+1+2		compulsory	

Teaching Staff in Charge	Assoc.Prof. TRÎMBITAS Radu Tiberiu, Ph.D., tradu@math.ubbcluj.ro	
Aims	To introduce students to problems and methods of Experimental Data Processing	
Content	1. Errors. Measuring and classification.
2. Interpolation of data. Polynomial interpolation(Lagrange, Hermite). Efficient computing of interpolation polynomials. Divided differences. Spline interpolation. B-spline, cubic spline.
3. Least squares approximation. Normal equations and orthogonal Systems. Orthogonal polynomials.
4. Linear regression. Linear models and prediction. Inferences on model and coefficients. Curve fitting.
5. Generalized linear models.  
6. Multivariate statistics: Principal component analysis, clusters, factor analysis.
7. Data visualization. 2D and 3D Graphics. Volume visualization techniques.	
Bibliography	P. Blaga &#8211; Statistica prin &#8230; MATLAB, Presa Universitară Clujeană, Cluj-Napoca 2003
D.Ciurchea, V.Chiş - Prelucrarea datelor experimentale, Litografia UBB, Cluj-Napoca, 1995.
W.H. Press, B.P. Flannery, S.A. Teulkolsky, W.T. Vetterling - Numerical Recipes, third edition, Cambridge Univ. Press, New York, 2007. 
R. Trîmbiţaş &#8211; Metode statistice, Presa Universitară Clujeană, Cluj-Napoca, 2000	
Assessment	Exam: written paper and practical test.