All courses | 2023/24

52000 Advanced Mathematical Tools for data science

52001 Simulations in Statistics

52002 Big Data Mining.

52003 Introduction to Statistics

52006 Probability for CS students

52015 Statistics for data science

52016 Statistical learning for data science

52017 Mining big data for data science-Project

52019 Mining big data

52020 Geometry of information

52025 Adv. computational learning and data analysis

52028 Time series analysis in the context of climate change

52056 Applied Project

52111 Preparatory in mathematics

52112 Calculus for Statisticians A

52113 Calculus for Statisticians B

52220 BASIC PROBABILITY

52221 Principles and Applications in Stat Analysis

52304 Introduction to Programming

52307 Regression and Linear Models (CS)

52309 STATISTICAL THEORY FOR CS

52311 Modern Statistical Data Analysis

52322 Linear Algebra for Statistics

52324 Probability for Statistics students

52325 Statistical Inference and Its Applications

52411 Data structures and algorithms

52414 Data Analysis with R

52415 Linear Algebra A

52416 Linear Algebra B

52417 Causal Inference

52418 Markov Chains: Theory and Applications

52419 Introduction to Signal Processing

52525 Statistical learning and data analysis

52542 Generalized Linear Models

52571 Regression and Statistical Models

52700 Categorical Data Analysis

52710 PRINCIPLES OF EXPT DESIGN & SAMPLING METHODS

52750 Topics in Estimation From Sample From Surveys

52789 Topics in Statistics

52801 Advanced Statistical Models A

52805 Advanced Statistical Models B

52817 Probability and Random Processes

52830 Seminar for M.A

52841 Laboratory in Statistical Consulting

52850 Doctoral Seminar- Part A

52860 Doctoral Seminar- Part B

52877 Department Seminar

52879 Computational Methods in Nonlinear Optimization

52935 Probabilistic Methods in Artifical Intelligence

52568-1 STATISTICS LAB, 1 - Mandel

52568-2 STATISTICS LAB, 2 - Benjamini

52304-1 Introduction to Programming - 1

52304-2 Introduction to Programming - 2