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Artificial Intelligence

INF36306

Over deze cursus

An increasing number of businesses will adopt Artificial Intelligence (AI) to enhance their decision-making processes. No doubt, AI will have further transformative, far-reaching implications for society that requires close attention. The primary objective of this course is to provide a basic understanding of the AI concepts and their implications. The course will introduce the basic principles, techniques, and applications of AI. Emphasis will be placed on teaching the concepts, not providing mastery of particular software tools or programming environments. Coverage includes knowledge representation, intelligent agents, AI applications, problem-solving, search algorithms, machine learning, deep learning, reinforcement learning, robotics in AI, and AI ethics.

Leerresultaten

After successful completion of this course students are expected to be able to:

  • Explain different types of AI agents
  • Identify the benefits of using AI-based systems
  • Recognize various AI search algorithms, e.g., uninformed, informed, heuristic, constraint satisfaction
  • Compare the fundamentals of knowledge representation, e.g., logic-based, semantic networks, inference
  • Identify key machine learning approaches and algorithms
  • Identify reinforcement learning
  • Know how to build simple knowledge-based systems
  • Identify neural networks and deep learning techniques
  • Outline different robotic systems and applications
  • Recognize various ethics and governance to ensure successful AI project delivery

Bronnen

Aanvullende informatie

  • Studiepunten
    ECTS 6
  • Niveau
    bachelor
Als er nog iets onduidelijk is, kijk even naar de FAQ van Wageningen University.

Aanbod

  • Startdatum

    6 januari 2025

    • Einddatum
      31 januari 2025
    • Periode *
      Period 3
    • Locatie
      Wageningen
    • Voertaal
      Engels
    • Inschrijven tussen
      1 jun, 00:00 - 24 nov 2024
    Inschrijving open
Dit aanbod is voor studenten van Utrecht University