Course GIK2Q3

Applied Big Data and Cloud Computing

7.5 Credits
First Cycle
To Syllabus

Starts week 3, 2024

Upon completion of the course the students will be able to:

Knowledge and understanding
  • Explain concepts and terminology related to Big Data and Cloud Computing.
  • Describe the challenges with Big Data analysis and techniques used to perform Big Data analysis in the Cloud.
  • Describe different types of Cloud platforms and their advantages and disadvantages for Big Data analysis such as scalability and performance in different contexts.

Skills and abilities
  • Use a cloud-based platform to store, update, and manage Big Data.
  • Create data-driven models for Big Data analysis based on existing frameworks.
  • Apply data-driven models by deploying them to the Cloud.

Judgement and evaluation
  • Suggest and provide reason for a suitable Cloud solution for a Big Data analysis problem.

Starts and ends:
week 3, 2024 - week 12, 2024
Study Rate:
50%
Location:
Borlänge
Time of Day:
Day
Teaching form:
Normal
Language:
English
Other:
P: Course only offered as part of programme.
Entry Qualifications :
  • At least 60 credits in the main field of studies of Informatics, including the courses Object-orienterad Design and Problem Solving, 7.5 credits, Artificial intelligence, 7.5 credits, Database Systems, 7.5 credits and Data Science & machine learning, 7.5 credits
Selection :
Guarenteed admission
Application Code:
HDA-V3GG7
Main field of study:
Tuition Fee
First Tuition Fee Installment:
16,875 SEK
Total Tuition Fee:
16,875 SEK
EU/EEA Citizens or exchange students are not required to pay fees.
Information on application and tuition fees: www.universityadmissions.se.
Closed for late application
Literature List

Literature lists are published at the latest one month ahead of the course start date.

To Literature List
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support@du.se
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Course room in Learn

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Course Coordinator
Rikard Land
Rikard Land