PROBABILITY AND MATHEMATICAL STATISTICS

Antonio DI CRESCENZO PROBABILITY AND MATHEMATICAL STATISTICS

0512100009
DIPARTIMENTO DI INFORMATICA
EQF6
COMPUTER SCIENCE
2016/2017



OBBLIGATORIO
YEAR OF COURSE 2
YEAR OF DIDACTIC SYSTEM 2015
PRIMO SEMESTRE
CFUHOURSACTIVITY
432LESSONS
216EXERCISES


Objectives
KNOWLEDGE AND UNDERSTANDING
UNDERSTANDING OF THE BASIC TOPICS OF PROBABILITY AND MATHEMATICAL STATISTICS. ABILITY TO IDENTIFY A PROBABILISTIC MODEL AND TO UNDERSTAND ITS MAIN FEATURES.


APPLYING KNOWLEDGE AND UNDERSTANDING
INDUCTIVE AND DEDUCTIVE REASONING SKILLS IN DEALING WITH PROBLEMS, MAINLY OF COMPUTER SCIENCE, INVOLVING RANDOMNESS. ABILITY TO OUTLINE A RANDOM PHENOMENON, TO SET UP A PROBLEM AND TO SOLVE IT USING APPROPRIATE TOOLS OF PROBABILITY AND MATHEMATICAL STATISTICS, WITH PARTICULAR REFERENCE TO DISCRETE PROBABILITY AND COMBINATORICS, RANDOM VARIABLES (AND THEIR MAIN CHARACTERISTICS), LIMIT THEOREMS AND THEIR APPLICATIONS TO STATISTICS.


Prerequisites
STUDENTS MUST HAVE ACQUIRED KNOWLEDGE ON ELEMENTS OF DISCRETE MATHEMATICS, LOGIC, COMBINATORICS, FUNCTIONS, DERIVATIVES, INTEGRALS.
Contents
SAMPLE SPACE. PROBABILITY. PROBABILITY SPACE. CONDITIONAL PROBABILITY. INDEPENDENCE. RANDOM VARIABLES. DISTRIBUTION FUNCTION. MEAN, STANDARD DEVIATION, VARIANCE. DISCRETE AND CONTINUOUS RANDOM VARIABLES. BIDIMENSIONAL DISCRETE RANDOM VARIABLES. INDEPENDENCE. COVARIANCE AND CORRELATION. MOMENTS. MARKOV AND CHEBYSHEV INEQUALITYIES. LAW OF LARGE NUMBERS. CENTRAL-LIMIT THEOREM. SAMPLING. STATISTICAL INFERENCE. ESTIMATION. DISTRIBUTION OF SAMPLE MEAN. FREQUENCY TABLES. DIAGRAMS. HISTOGRAMS. SAMPLE PERCENTILES. DATA ANALYSIS.
Teaching Methods
LECTURES AND CLASSROOM EXERCISES, RELATED TO PROBLEMS OF INTEREST IN COMPUTER SCIENCE.
Verification of learning
ORAL EXAMINATION TO TEST THE KNOWLEDGE OF THE DISCIPLINE.
Texts
- ROSS S. (2010) A FIRST COURSE IN PROBABILITY. 8TH EDITION. PEARSON.
- FREUND J.E., WALPOLE R.E. (1992) MATHEMATICAL STATISTICS. FIFTH EDITION. PRENTICE HALL.
More Information
SOME UTILITIES AND EDUCATIONAL AIDS ARE AVAILABLE AT HTTP://ELEARNING.INFORMATICA.UNISA.IT/EL-PLATFORM/
THE ATTENDANCE AND REGULAR STUDY IN TERM TIME ARE RECOMMENDED.
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