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Cursus: 202200021
202200021
Machine Learning for Datatypes
Cursus informatie
Cursus202200021
Studiepunten (ECTS)3,5
CursustypeOnderwijseenheid
VoertaalEngels
Contactpersoondr. F.A. Bukhsh
E-mailf.a.bukhsh@utwente.nl
Docenten
Examinator
N. Bouali
Docent
dr. F.A. Bukhsh
Contactpersoon van de cursus
dr. F.A. Bukhsh
Examinator
dr.ir. M. van Keulen
Collegejaar2022
Aanvangsblok
1A
OpmerkingPart of TCS elective module 8E
Minor students: register for the minor!
Aanmeldingsprocedure-
Inschrijven via OSIRISNee
Cursusdoelen
The module’s learning objectives are formulated using Bloom’s taxonomy. The learning objectives are mapped to Programme Intended Learning Outcomes.
  • Understand the data analytics workflow (based on CRISP-DM (Wirth, & Hipp, 2000))
  • Assess data quality and ability to scrape, cleanse, and ethically maintain data
  • Assess and compare the suitability of different data modeling methods/algorithms for optimal performance and evaluate results objectively.
  • Familiarity with infrastructures and distributed systems used to deal with them, such as Hadoop and MapReduce
  • Analyze and apply the most advanced and relevant statistic and mathematical techniques for business purposes, specifically
  • Fundamental algorithms and mathematical models for processing natural language
  • The fundamentals of the neural network as applied to the analysis of images
  • Mathematical methods of decision analysis and modeling ML/AI algorithms
  • Apply new frameworks and advanced fundamental knowledge, reflect on how frameworks work and motivate choice, integrate different parts of ML/AI.
  • Build an automated workflow to scrap, clean, and ethically maintain data and result’s privacy.
Inhoud
Working with data beyond simple structured data such as natural language text, images, and sensor data, as well as different neural network architectures typically used in machine learning for these data types.

Enrolment

Enrolment for this module is now closed. If you are not yet enrolled but wish to participate, contact the module co-ordinator Maurice van Keulen, m.vankeulen@utwente.nl 


B-CS students register via Osiris; others can contact modulesupport-tcs@utwente.nl.
Minor students: please register in Osiris for the minor!
Voorkennis
It is a prerequisite to have made a serious attempt at module 202000991 Intelligent Interaction Design or 202001031 Intelligent Interaction Design CS/BIT. A ‘serious attempt’ is defined as having participated in at least one test, i.e., one need not have successfully completed the module, but the module expects that the content of one of these modules has been studied.
Voorkennis kan worden opgedaan met
All reading materials are accessible online either publicly or through the UT library.
Participating study
Bachelor Technical Computer Science
Participating study
Bachelor Bedrijfsinformatietechnologie
Participating study
Bachelor Creative Technology
Module
Module 8E
Verplicht materiaal
-
Aanbevolen materiaal
-
Werkvormen
Assessment
AanwezigheidsplichtJa

Hoorcollege

Opdracht
AanwezigheidsplichtJa

Practicum

Presentatie(s)
AanwezigheidsplichtJa

Project begeleid

Project onbegeleid

Vragenuur

Toetsen
Machine Learning for Datatypes

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