Cambridge/Oxford Academic Online Study Programme - Probability Theory and Statistics

cambridgeoxford academic online study programme probability theory and statistics.jpeg

Tara: Anglia
Locatie: Online
Varsta: 16-19 ani
Tip Curs: Curs Online
Limba studiata: Engleza

17 iul - 04 sept 2021
28 aug - 16 oct 2021
25 sept - 13 nov 2021

Galerie foto

Descriere curs

Programul Academic Cambridge/Oxford Online Study include 8 cursuri / prelegeri online, sustinute de un profesor universitar de la University of Cambridge sau University of Oxford cu tematica Teoria Probabilitatii si Statistica:

Program description:

Probability Theory and Statistics are an extremely important branch of mathematics that deal with chance, and how to extract meaningful information from data. The two disciplines are rapidly becoming the foundation for understanding the world in which we live, with the increasing application of engineering, physics, biology and data science. The application of probability statistics theory is currently developing within the social sciences, particularly economics, where there are a large number of probability statistics methods aimed at studying optimal decision making and stable economic growth.
This project will provide an introduction to a world-class probability theory and statistics program, include the basic concepts of probability distribution, expectations, independence, conditional expectations, Markov chains, maximum likelihood estimation, confidence intervals and hypothesis testing. At the end of this project, students will submit their research report and show their results.
Suggested Future Research Fields:

  • Solving and studying the autocorrelation problem in linear regression modeling
  • Linear regression (housing price prediction model)
  • Processing and analysis of deformation monitoring data based on unary linear regression

Example Tutor:

Professor Patrick Rebeschini
Position: Associate Professor in the Department of Statistics at the University of Oxford
Biography: Prior to joining the University of Oxford, Professor Patrick Rebencini was a Lecturer in the Computer Science department at Yale University and a Postdoctoral Associate at the Yale Institute for Network Science. He has a Ph.D. in Operations Research and Financial Engineering from Princeton University, where he worked in Applied Probability.
Prof. Patrick's research interests lie at the intersection of Applied Probability, Statistics, and Computer Science. He is interested in the investigation of fundamental principles to perform scalable inference, learning, and optimization in high-dimensional models, and in the design and analysis of algorithms in Machine Learning, with applications to graphical models and Monte Carlo method.

Example Syllabus:

  • Linear Algebra: vector, matrix, matrix operations
  • Probability distribution: probability mass function, cumulative distribution function, expectation
  • Statistical inference and maximum likelihood estimation
  • Linear regression modelling
  • Hypothesis testing
  • Program review and presentation
  • Project deliverable tutoring

Acest program este destinat tinerilor cu varsta minima de 16 ani, cu un nivel de limba engleza minim echivalent IELTS 5.0+ (B2).

Se vor forma grupe internationale de aprox 15 elevi, pentru inscriere se va trimite in avans un CV al elevului in limba engleza.

Cursurile se vor desfasura in zilele de sambata, in intervalul orar 10:00 – 12:00 ora UK (12:00 – 14:00 ora Romaniei), conform perioadei selectate.

La finalul celor 8 saptamani participantii vor primi:

  • certificat de participare
  • raport academic
  • scrisoare de recomandare din partea tutorelui

Date de participare:

Sesiunea Iunie:  26 iunie, 3 iulie, 10 iulie, 17 iulie, 24 iulie, 31 iulie, 7 august, 14 august (locuri epuizate)

Sesiunea Iulie:  17 Iulie, 24 iulie, 31 iulie, 7 august, 14 august, 21 august, 21 august, 4 septembrie

Sesiunea August:  28 august, 4 septembrie, 11 septembrie, 18 septembrie, 25 septembrie, 2 octombrie, 9 octombrie, 16 octombrie

Sesiunea Septembrie:  25 septembrie, 2 octombrie, 9 octombrie, 16 octombrie, 23 octombrie, 30 octombrie, 6 noiembrie, 13 noiembrie


500 GBP/ 8 cursuri

Tariful NU include:

· TVA 19%

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