Course - Big Data and Analysis - AI521416
AI521416 - Big Data and Analysis
Lessons are not given in the academic year 2020/2021
- 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 - 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.
- 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.
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)
Credits: 7.5 SP
Study level: Second degree level
Language of instruction: English
- Economics and Administration
Department with academic responsibility
Department of International Business
- * 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"