Sökresultat: 8

Computer algebra HT26

This is a reading course. Send an email to samuel@math.su.se if you want to follow the course AND fulfill the prerequisites for it. The course code is MM7025.

Kategori: Avancerad nivå

Matematik I Distans HT26

Kurskoordinator aktiverar alla Ladok-registrerade  studenter på senast 28 augusti

Schemalagda träffar (ej seminariekurs) och examinationer: Schema-distans-HT26

Frågor? matematik-i@math.su.se



 

Kategori: Grundnivå

Matematik II - Linjär algebra HT26

Notera att självaktivering på kurssidan inte är detsamma som kursregistrering i Ladok.  Självaktivering öppnas v34.

Kursschema TimeEdit

Kategori: Grundnivå

Mathematics of cryptography VT22

The course covers modern methods of cryptography, which form a basis for secure electronic communication, and methods to decrypt these. The focus is on the mathematical foundations in number theory, algebraic geometry and statistics and how these are used in cryptography. The course is of interest to those who work with security aspects of electronic communication, but also for those who want to see one of the more spectacular modern applications of mathematics.
Schedule

Please note that self-enrollment on the course page is not the same as course registration in Ladok.

Kategori: Avancerad nivå

Mathematics of cryptography VT26

The course covers modern methods of cryptography, which form a basis for secure electronic communication, and methods to decrypt these. The focus is on the mathematical foundations in number theory, algebraic geometry and statistics and how these are used in cryptography. The course is of interest to those who work with security aspects of electronic communication, but also for those who want to see one of the more spectacular modern applications of mathematics.

Please note that self-enrollment on the course page is not the same as course registration in Ladok.

Schedule


Kategori: Avancerad nivå

Statistical Deep Learning VT26

This course is taught in English

This course introduces basic as well as modern concepts of statistical learning in terms of artificial neural networks (deep learning), with applications in statistical data analysis. Topics treated include feedforward networks, regularization and optimization of networks with many layers, convolutional networks, recurrent networks and validation methods. The course also includes some of the following modern topics; autoencoders, representation learning, deep generative methods, and information theoretic concepts of deep learning.


Class Schedule


Please note that self-enrollment on the course page is not the same as course registration in Ladok.

Kategori: Avancerad nivå

Theory of Statistical Inference - HT25

This course is taught in English.

The course addresses the basic statistical principles from the viewpoints of both frequentist and Bayesian statistics. In particular, the topics, like point and interval estimation, test theory, likelihood theory, asymptotics, bootstrap, and model selection will be studied. The implementation of the theoretical results in statistical software is an important part of the course. 

Literature: "Likelihood and Bayesian Inference: With Applications in Biology and Medicine" by Leonhard Held and Daniel Sabanés Bové, Springer 2020.

The book is available in electronic format from http://sub.su.se

Teacher: Filip Lindskog

Please note that self-enrollment on the course page is not the same as course registration in Ladok.

Kategori: Grundnivå

Theory of Statistical Inference - HT26

This course is taught in English.

The course addresses the basic statistical principles from the viewpoints of both frequentist and Bayesian statistics. In particular, the topics, like point and interval estimation, test theory, likelihood theory, asymptotics, bootstrap, and model selection will be studied. The implementation of the theoretical results in statistical software is an important part of the course. 

Literature: "Likelihood and Bayesian Inference: With Applications in Biology and Medicine" by Leonhard Held and Daniel Sabanés Bové, Springer 2020.

The book is available in electronic format from http://sub.su.se

Please note that self-enrollment on the course page is not the same as course registration in Ladok.

Kategori: Grundnivå