course-details-portlet

AI521416 - Big Data and Analysis

About

Lessons are not given in the academic year 2020/2021

Course content

- Introduction to Big Data Analytics (BDA)
- Data input, algorithms and presentation
- Graphics Processing Units (GPU) and Field Programmable Gate Array (FPGA) for Big Data Analysis
- Business related applications of Big Data (Export, patent and register data)

Learning outcome

Learning outcome - Knowledge
- Have knowledge about the principles and challenges in the design and development of BDA technology.
- Have knowledge of how Big Data techniques can be used in various business settings.

Learning outcome - Skills
- Be able to apply appropriate techniques in different BDA problems.
- Hands-on skills in preprocessing raw data.
- Hands-on skills in clustering data to identify meaningful patterns.
- Hands-on skills in applying relevant machine learning algorithms for prediction.

Learning outcome - General competence
- Be able to discuss and communicate the possibilities and limitations in the field of BDA.
- Understand the BDA needs of industries and business, and have foundation-level knowledge to develop a solution.

Learning methods and activities

The course consists of a combination of lectures, casework, mandatory assignments, presentations and discussions.

Compulsory assignments

  • Project Assignments

Further on evaluation

Mandatory project assignments. If a student defers the final exam until the following academic year, then he or she must complete and pass a new individual assignment.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Economics and Business Administration (ØAMSC)
Financial Economics (MFINØK)
International Business and Marketing (860MIB)
NTNU School of Entrepreneurship (MIENTRE)

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

No

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Economics and Administration
Contact information

Department with academic responsibility
Department of International Business

Phone:

Examination

  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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