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Data Science 7,5 hp

Undervisningen bedrivs på engelska.

Kursinnehåll

The exponential growth of the digital universe, particularly in the form of storage and computing power in recent decades, enables companies to accumulate huge amounts of data at moderate cost. Accompanying this technological shift is a widespread realization that collected data contain potentially valuable information. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, through data analysis.

The course includes the following elements:
- Fundamental tasks in data analysis, i.e., classification, regression, clustering and association rules
- Basic machine learning techniques for classification, regression, clustering and association rules
- Organization of a data analysis project, i.e., preprocessing, modeling and evaluation
- Tools and techniques for large scale data analysis
- Software tools for data analytics
- Data analytics applied in different engineering and business domains

Förkunskapskrav

The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in computer engineering, electrical engineering (with relevant courses in computer engineering), or equivalent. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. Proof of English proficiency is required.

Utbildningsnivå: Avancerad nivå
Kurskod/Ladokkod: TDSR29
Kursen ges vid: Tekniska Högskolan

Kommande kurstillfällen

Typ av Kurs
Programkurs
Studieform
Campus
Termin
Hösten 2019: vecka 43 - vecka 02 2020
Studietakt
100%
Undervisningsspråk
Engelska
Ort
Jönköping
Kurstid
Dag
Examinator
Tuwe Löfström
Kursansvarig
Tuwe Löfström
Gäller enbart studenter utanför EU/EES/Schweiz: Studieavgift
17498kr
Kursplan
HTML  PDF
Anmälningskod
HJ-T9369

Sidan uppdaterad 2019-08-20

Utbildning
Sidan uppdaterad 2010-08-17
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