| Lecturer: Assoc. Prof. Cristian Gaţu, Ph.D. |
| Timetable |
| Academic year 2025-2026 structure |
- The laboratory on Friday, 19th of December will take place online, using the Discord server of the discipline.
- The schedule of the student talks can be found here. (last update: 18.12.2025)
- The second written test will take place on Thursday, 18th of December 2025, at 08:15, room C112.
- Early recovery timetable of 11th week (December 8-14).
- The first written test will take place on Thursday, 6th of November 2025, at 08:15, room C112.
- Evaluation
Bibliography
- D. S. Moore, G. P. McCabe, B. Craig. Introduction to the Practice of Statistics. W. H. Freeman & Co., 2009.
- G. Cowan. Statistical Data Analysis. Clarendon Press, 1998.
- T. Hastie, R. Tibshirani and J. Friedman. The Elements of Statistical Learning, Springer, 2001. (URL)
- T.M. Mitchell. Machine Learning, McGraw-Hill, 1997.
- G. A. F. Seber, Linear Regression Analysis, John Wiley and Sons Inc., 1977.
- N.R. Draper and H. Smith, Applied Regression Analysis, John Wiley and Sons Inc., 1966.
- E.J. Kontoghiorghes, Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems, Kluwer Academic Publishers, 2000.
Lecture notes
- Administration
- Lecture 1 (detailed notes)
- Bibliography: [CR1] (Ch 1: Introduction, 1.1, 1.2); [CR2] (pp 1-20); [CR7] (pp 39-47).
- Lecture 2 (detailed notes, Z-Table, t-Table)
- Bibliography: [CR2] (pp 26-34); [CR1] (pp 53-67, 314-344, 356-366).
- Lecture 3 (detailed notes)
- Bibliography: [CR6]
- Lecture 4 (detailed notes)
- Bibliography: [CR1] (pp 560-576).
- Lecture 5 (detailed notes), (House dataset)
- Bibliography: [CR1] (pp 607-613).
- Lecture 6 (detailed notes)
- Bibliography: [CR3] (pp 57-61, 219-227).
- Lecture 7
- Lecture 7, 2nd part
- Lecture 8
Practical works
R notes, (Population dataset)
- Assignment 1. Bibliography: [LR2]
- Assignment 2
- Assignment 3 (Alcool dataset, IQ dataset)
- Assignment 4 (House dataset, Boston dataset)
- Assignment 5
- Assignment 6 (Swiss banknotes dataset)