Course GIK2Q3

Applied Big Data and Cloud Computing

7.5 Credits
First Cycle

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:
Time of Day:
Teaching form:
Only for Exchange Students (Erasmus)
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
Application Code:
Main field of study:
Literature List

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

To Literature List
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Course room in Learn

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Course Coordinator
Rikard Land