UAIC
Computer Science Department

Probability Theory and Statistics

ro en

Olariu Emanuel Florentin

Zalinescu Adrian

Spring/Summer 2026


Summary

This course aims to introduce basic topics in Discrete Probability Theory and Descriptive and Inferential Statistics.

Prerequisites: Knowledge of basic analysis and algebra.

Course information sheet: (ro) - (ai) - (en)


Administrative

Lecturers:

  Olariu E. Florentin - C212, C building, phone: 0232 20 15 46, emanuel dot olariu at info dot uaic ro

  Zalinescu Adrian - C307, C building, adrian dot zalinescu at info dot uaic dot ro

Office Hours: weekly, better by e-mail appointment.

Grading:

  • Seminars. The score comes from six small tests one on each seminar (15 minutes) - this score must be at least 30 (from a maximum of 6x10 = 60) points. Those who fail to receive at least 30 points cannot pass the course.
  • Laboratories. The score comes from the exercises solved in the class (20 points), from homeworks (20 points, deadline in the 12th week), and from a test given in the final week (20 points). This score must be at least 30 (from a maximum of 20 + 20 + 20 = 60) points. Those who fail to receive at least 30 points cannot pass the course.
  • For other details see the first lecture (ro) - (en) .
  • There is no arrears session exam.


Scores: seminars/laboratories


Bibliography:

  • Bertsekas, D. P., J. N. Tsitsiklis, Introduction to Probability, Athena Scientific, Belmont, Massachusetts, 2002.
  • Gordon, H., Discrete Probability, Springer Verlag, 2010.
  • Lipschutz, S., Theory and Problems of Probability, Schaum's Outline Series, McGraw Hill, 1965.
  • Ross, S. M., A First Course in Probability, Prentice Hall, 5th edition, 1998.
  • Stone, C. J., A Course in Probability and Statistics, Duxbury Press, 1996.

  • Freedman, D., R. Pisani, R. Purves, Statistics, W. W. Norton & Company, 4th edition, 2007.
  • Johnson, R., P. Kuby, Elementary Statistics, Brooks/Cole, Cengage Learning, 11th edition, 2012.
  • Shao, J., Mathematical Statistics, Springer Verlag, 1998.
  • Spiegel, M. R., L. J. Stephens, Theory and Problems of Statistics, McGraw Hill, 3rd edition, 1999.

List of Topics (weekly updated):

  • Introduction. Random experience.
  • Random (elementary) events, probability function.
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    Discrete Probability Theory Lectures:

    • Lecture 1 on February 16, 2026: Introduction. Random experience and random events. Probability function.