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Cloud Computing and Data Analytics 6 credits

Course Contents

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. Exploiting this stored data, in order to extract useful and actionable information, is the overall goal of the generic activity termed data analytics. The course includes the following elements:
- Basics of cloud architecture,
- Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS)
- The MapReduce framework, especially Hadoop
- Fundamental tasks in data mining, i.e., classification, regression, clustering and association rules
- Basic machine learning techniques for classification, regression, clustering and association rules
- Organization of a data mining project, i.e., preprocessing, modeling and evaluation
- Software tools for data analytics
- Data analytics applied in different business domains
- Research directions in data mining and machine learning

Prerequisites

The applicant must hold the minimum of a bachelor'rs degree (ie. the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits within the major subject in Computer Engineering, Electrical Engineering (with relevant courses in Computer Engineering), Informatics, Computer Science, Interaction Design (with relevant courses in web programming) or equivalent. Proof of English proficiency is required.

Level of Education: Master
Course code/Ladok code: TCCR26
The course is conducted at: School of Engineering

Previous and ongoing course occasions

Type of course
Program
Study type
Campus
Semester
Autumn 2017: Oct 02 - Nov 05
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Examiner
Ulf Johansson
Course coordinator
Ulf Johansson
Tuition fees do NOT apply for EU/EEA citizens or exchange students
13500kr
Syllabus
HTML  PDF
Application code
HJ-T7200

Content updated 2018-03-23

Study at JU
Content updated 2015-06-24
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