You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Artificial Intelligence and Data Science

Study Plan: Artificial Intelligence and Data Science

Year Semester Code Curricular unit Scientific area ECTS credits
1 S1 16662
Linear Algebra and Analytics Geometry
M 6
1 S1 16663
Calculus I
M 6
1 S1 16664
Computers and Programming
I 6
1 S1 16665
Informatics Laboratories
I 6
1 S1 16666
Computers Technology
I 6
1 S2 16667
Calculus II
M 6
1 S2 16668
Elements of Artificial Intelligence and Data Science
I 6
1 S2 16669
Discrete Mathematics
M 6
1 S2 16670
Probability and Statistics
M 6
1 S2 16671
Algorithms and Data Structures
I 6
2 S1 16672
Databases
I 6
2 S1 16673
Computacional Logic
I 6
2 S1 16674
Applied Statistics
M 6
2 S1 16675
Artificial Intelligence
I 6
2 S1 16676
Interaction with Large-Scale Models
I 6
2 S2 16677
Data Extraction and Transformation
I 6
2 S2 16678
Machine Learning
I 6
2 S2 16679
Technological Entrepreneurship
G 6
2 S2 16680
Data Visualisation
I 6
2 S2 16681
Optimization
M 6
3 S1 16682
Data Analytics
I 6
3 S1 16683
Multimedia Data Processing
I 6
3 S1 16684
Natural Language Processing
I 6
3 S1 16685
Neural Networks and Deep Learning
I 6
3 S1 16686
Interpretability and Causality
I 6
3 S2 16687
Cybersecurity
I 6
3 S2 16688
Large Scale Data Science
I 6
3 S2 16689
Ethics, Privacy, Responsibility and Reliability in Ai
FIL 6
3 S2 16690
Project
I 6
3 S2 16691
Intelligent Robotics
I 6

 

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.