IFUD6002

Big Data

Last taught 2019

Spring

Trondheim

English

Overview

27 candidates

Average grade

B

4.00

0.11

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

In the course «Big Data» the students will learn to understand the business value, capabilities and applications of big data. They will also learn about big data architecture and learn to apply some Big Data techniques with the Pyton programming language.

Learning outcomes

Kunnskaper:
The candidate:
- Understands business value of big data
- Knows about content, capabilities and applications of big data
- Knows about techniques for analysis and visualization of big data
- Is familiar with big data architecture
- Understands privacy and trust issues in big data

Ferdigheter:
The candidate:
- Can articulate and communicate with stakeholders the business value of big data
- Can structure the process of big data analytics
- Can propose and use relevant big data techniques in practical projects

Generell kompetanse
The candidate:
- Can take part in planning and implementation of big data projects
- Can identify, plan and implement individual tasks in big data projects