Level of Education
2 years of post-secondary education
ECTS
2 credits
Training Structure
College of Sciences
Time of year
Spring
Description
Introduction to the Use of Data Mining Methods:
# Motivations, Areas of Application
# Data mining tasks (classification, estimation, prediction, etc.)
# Data Processing (Pre- and Post-Processing)
# Supervised learning (Bayesian method, k-nearest neighbors, neural networks, etc.)
# Unsupervised Learning (k-means)
# Evaluation of Methods
# Data mining software (R, Scikit, Weka, etc.)
Mandatory Prerequisites
Computer science instruction for the first and second years of the CPES program, and advanced coursework for the first semester of the second year
Knowledge Assessment
Final Exam