ENCE abrirá pré-inscrições de curso sobre inteligência computacional (2)
March 19, 2025 02h00 PM | Last Updated: March 20, 2025 12h35 PM
The National School of Statistical Sciences (ENCE/IBGE) will open pre-registration on March 24 for the Computational Intelligence course, class of 2025. The course is free and aims at presenting and discussing machine learning for data classification and segmentation.
Interested parties should access the website https://ence.ibge.gov.br/index.php/trilhas/cdbdia, which provides more information about the course. The link to the pre-registration form will be made available for four days, from 9 am on March 24 (Monday) until 9 am on March 28 (Friday).
There are 60 places to be filled, which will be distributed by Major Region, by sex and by internal (IBGE) and external audiences. The order of registration is one of the tiebreaker criteria for selection. College degree is required. Activities include reading scientific articles and supplementary material in English.
With a workload of 45 hours, the course will begin on April 29 and last for nine weeks, until June 24. It includes synchronous remote activities (classes, seminars and debates) on Tuesdays and Thursdays, from 8 am to 10 am, and asynchronous activities (reading and research).
Professor Eduardo Corrêa (ENCE/IBGE) is responsible for the course, which aims at training students to understand and apply computational intelligence techniques based on machine learning to solve data classification, segmentation and pattern recognition problems. The main topics covered include:
-
Supervised and unsupervised learning
-
Data preprocessing and transformation
-
Classification with decision trees and neural networks
-
Differences and similarities between data objects
-
Creation and evaluation of supervised and unsupervised models
-
Case studies and practical examples of the application of machine learning algorithms in data science and artificial intelligence projects
Big data is the term used to describe the exponential growth and availability of data, whether structured (tables, spreadsheets, etc.) or unstructured (text, images, etc.). Companies, scientific institutions, and government agencies have increasingly used machine learning algorithms to process these large amounts of data, with the aim of creating models capable of making decisions or identifying new, unknown, and potentially useful patterns.
Learning paths
The Computational Intelligence course is part of the Data Science, Big Data and Artificial Intelligence (CDBDIA) learning path, a project by ENCE/IBGE that offers courses on this topic. Four courses have already been offered: Introduction to Data Science, Artificial Intelligence in Public Policy, Big Data and Public Statistics, and Privacy Preservation in Data Science. Other courses and paths are being developed and will be launched soon.
