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Courses

Master in Artificial Intelligence

Syllabus

Academic year:




  1st Year
1st Semester
CodeAcronymNameObs.Credits
M.IA001IASArtificial Intelligence and Society6
M.IA002TSITopics in Intelligent Systems6
Group of Optional Curricular Units - Conditional 1stY/1stS(1)
Group of Optional Curricular Units - 1stY/1stS
2nd Semester
CodeAcronymNameObs.Credits
M.IA003ACPRDeep and Reinforcement Learning6
M.IA005VCComputer Vision6
M.IA007TRITopics in Intelligent Robotics6
M.IA004PLNNatural Language Processing6
Group of Optional Curricular Units - 1stY/2ndS
Comments:
  • (1) 1) The course unit Advanced Topics in Machine Learning has the prerequisite of having obtained 12 ECTS in Machine Learning or related subjects. 2) The course unit Advanced Topics in Artificial Intelligence has the prerequisite of having obtained 12 ECTS in course units of Artificial Intelligence, Robotics, Intelligent Systems, Machine Learning or similar. 3) You cannot choose the Introduction to Machine Learning elective and the Introduction do Data Science elective at the same time. 4) The course units: Introduction to Machine Learning, Introduction to Data Science and Introduction to Artificial Intelligence are not intended for students who have done a bachelor's degree in the area of these curricular units.

  2nd Year
Yearly
CodeAcronymNameObs.Credits
M.IA008DDissertation48
1st Semester
CodeAcronymNameObs.Credits
M.IA006SIASeminars in Artificial Intelligence6
Group of Optional Curricular Units - 2ndY/1stS
 

Type of Classification: OFICIAL

Course units belonging to the academic fields defined in the active curricular structure(s) in the current academic year


  Computer Science

  Transversal/Transferable Skills

  Personal and Communicational Development

  Informatics Engineering

  Mathematics

  Free option (any area of UP)

Unidades curriculares sem áreas científicas


  No Academic Field
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