Introductory courses on: (1) Calculus, (2) Linear Algebra, (3) Probability Theory, (4) Design and Analysis of Algorithms. The course is not recommended for students without the necessary mathematical background. The students who would like to recall necessary background should consult the following resources:

Codes for the practicals in the Foundations_of_Data_Science class at UZH Resources

Codes for the practicals in the Foundations_of_Data_Science class at UZH - hongjieguan/UZH_FDS

In the Master's study program in Data Science, you will learn how to carry out professional analyses of large data quantities, recognize patterns, demonstrate relationships, and prepare results in appealing, interactive formats.

Studying at the University of Zurich (UZH) means developing independent and critical thinking skills, welcoming new and unfamiliar ways of looking at the world, and learning how to generate new ideas, test new procedures, and gain fresh insight. Students and PhD candidates find ideal conditions at UZH to achieve their potential.

We are pleased to announce and invite you to the following joint talk in our ETH/UZH Research Seminar on Statistics and FDS seminar series: "Robust Causal Inference with Possibly Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling " by Zijian Guo, Rutgers University, USA Time: Friday, 22.09.2023 at 15.15 h ...

In this course, we look at the backend part of data science, i.e., what kind of technology and systems do we need to process and store huge amounts of data efficiently and in a scalable way. On the one hand, we look at principles underlying distributed systems in general; on the other hand, we also investigate the functionality of concrete systems.

Functional dependencies (FDs) are used to specify formal measures of the goodness of relational designs. Functional dependencies and keys are used to de ne normal forms for relations. Functional dependencies are constraints that are derived from the meaning and interrelationships of the attributes. A functional dependency X !

Frequency-dependent selection (FDS) is an evolutionary regime that can maintain or reduce polymorphisms. Despite the increasing availability of polymorphism data, few effective methods are available for estimating the gradient of FDS from

UZH_FDS \n. Codes for the practicals in the Foundations_of_Data_Science class at UZH