Big Data

Code

200144

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Weekly hours

0.0

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

To present the main challenges related to the use of big data

Prerequisites

Presence is not mandatory

Subject matter

Big Data: Introduction and Challenges
Data Mining for Big Data
Map Reduce model
Finding Similar Items
Mining Data Streams
Link Analysis
Frequent Itemsets
Clustering
Recommendation Systems
Dimensionality Reduction
Large-Scale Machine Learning

Bibliography

Mining of Massive Datasets. Jure Leskovec, Anand Rajaraman, Jeff Ullman

Teaching method

Theoretical classes where the professor will present the main thematics in the field of big data.

Evaluation method

Final test at the end of the course

Courses

• Master degree program in Advanced Analytics
• Marketing Intelligence
• Risk Analysis and Management
• Knowledge Management and Business Intelligence
• PostGraduate Information Systems and Technologies Management
• PostGraduate in Information Management and Business Intelligence in Healthcare
• PostGraduate in Marketing Intelligence
• PostGraduate in Enterprise Information Systems
• Marketing and Research and CRM
• PostGraduate in Information Analysis and Management
• PostGraduate in Digital Enterprise Management
• PostGraduate Risk Analysis and Management
• Information Systems and Technologies Management
• PostGraduate in Knowledge Management and Business Intelligence
• PostGraduate Marketing Research e CRM
• PostGraduate Digital Marketing and Analytics
• PostGraduate in Information Systems Governance
• Information Analysis and Management