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Advanced Machine Learning

CAS

Universität Bern UNIBE

Categorie
Luogo di formazione

Berna (BE)

Lingua di insegnamento

inglese

Tipo di formazione

Università e politecnici - Perfezionamento: formazioni lunghe

Modalità temporali

Parallelamente all'attività professionale

Ambiti

Natura, scienze naturali

Indirizzi di studio

Matematica

Swissdoc

7.160.5.0

Aggiornato il 20.09.2024

Descrizione

Descrizione della formazione

In many disciplines, the amount of available data and the computing capacity are growing rapidly. This enables the application of machine learning methods on tasks previously being reserved for humans. The format is designed to align with the participants’ main study and or professional activities. The teaching and learning approaches are team and discussion oriented and designed to develop practical competency.

Objectives

On completion the graduates will (be able to):

  • design, tune, train and measure performance of neural networks with advanced deep learning libraries
  • understand the inner mechanisms of neural networks during training
  • familiar with active research in machine learning
  • understand and communicate scientific publications on machine learning and artificial intelligence
  • familiar with the philosophy and ethics of extended andartificial intelligence
  • familiar with new and advanced machine learning models

Piano di formazione

The CAS is structured in six modules:

  • Review of machine learning, practical methodology and applications (Block module)
  • Deep networks (Block module)
  • Advanced Models I (Block module / Mediterranean Coast) 
  • Selected topics on machine learning
  • Philosophy and Ethics of extended cognition and artificial intelligence (Lectures and Seminars)
  • Advanced Models II (Block module Mürren)

Scope: 16 ECTS

Ammissione

Condizioni d'ammissione

  • university degree
  • basic knowledge of mathematics, statistics, programming, machine learning and professional or research experience in the field of data analysis. The required basic knowledge is based on the level of an introductory lecture as part of an undergraduate master’s degree. The program management specifies these requirements.

Exceptions to the admission requirements can be approved by the program management «sur Dossier». For people without a university degree, they can impose additional requirements for admission to ensure that they can successfully complete the course.

Target groups

Aimed at students and professionals from the public and private sector that hold a degree from a university or a university of applied sciences (e.g. BSc, MSc, PhD).

Costi

CHF 9'600.- (Full pension hotel accommodation is included in the CAS fee)
Employees and students of the university of Bern: CHF 5'600.-

Diploma

  • Certificate of Advanced Studies CAS

Certificate of Advanced Studies in Advanced Machine Learning, University of Bern

Informazioni pratiche

Luogo / indirizzo

  • Berna (BE)

University of Bern; Mürren, Bernese Oberland (Module 6); Mediterranean Coast, (Module 3)

University of Bern
Mathematical Institute
Sidlerstrasse 5
3012 Bern

Svolgimento temporale

Inizio

August

Durata

1 year
(18 course days, given in blocks and on Friday afternoons)

Modalità temporali

  • Parallelamente all'attività professionale

Lingua di insegnamento

  • inglese

Osservazioni

Applicants wishing to attend only individual modules ma be acceptet, provided there are places available.

Link

Informazioni / contatto

Sigve Haug, sigve.haug@math.unibe.ch, +41 31 631 82 46
Claire Dové, claire.dove@math.unibe.ch, +41 31 631 80 85

Universität Bern UNIBE

Zulassung, Immatrikulation und Beratung
Tel.: +41 31 684 39 11

orientamento.ch