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AI Series: Introduction to AILaajuus (5 op)

Tunnus: AT00DH88

Laajuus

5 op

Opetuskieli

  • englanti

Osaamistavoitteet

- Understanding AI: Gain a clear definition of AI, its scope, and related fields such as machine learning, deep learning, robotics, and natural language processing (NLP).
- Evolution and Impact of AI: Explore the historical milestones of AI and its transformative impact on different sectors.
- AI Applications: Learn about AI applications in healthcare, finance, transportation, retail, education, and agriculture.
- Machine Learning Basics: Delve into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
- Neural Networks and Deep Learning: Explore neural networks, deep learning, and their applications in AI.
- Ethical Considerations in AI: Examine the ethical concerns and societal implications of AI, including privacy, bias, transparency, and job displacement.

Ilmoittautumisaika

01.08.2025 - 31.07.2026

Ajoitus

01.08.2025 - 31.07.2026

Opintopistemäärä

5 op

Toteutustapa

Lähiopetus

Yksikkö

Teknologia (LAB)

Toimipiste

Verkkokampus

Opetuskielet
  • Englanti
Koulutus
  • Complementary competence, Bachelor's
Opettaja
  • Juhani Grape
  • Saku Syngelmä
Ryhmät
  • TLABTO25-26E
    Complementary competence (Bachelor's) 2025-2026, Faculty of Technology
  • TLABTO25-26
    Täydentävä osaaminen (AMK) 2025-2026, Teknologiayksikkö

Osaamistavoitteet

- Understanding AI: Gain a clear definition of AI, its scope, and related fields such as machine learning, deep learning, robotics, and natural language processing (NLP).
- Evolution and Impact of AI: Explore the historical milestones of AI and its transformative impact on different sectors.
- AI Applications: Learn about AI applications in healthcare, finance, transportation, retail, education, and agriculture.
- Machine Learning Basics: Delve into the fundamentals of machine learning, including supervised, unsupervised, and reinforcement learning.
- Neural Networks and Deep Learning: Explore neural networks, deep learning, and their applications in AI.
- Ethical Considerations in AI: Examine the ethical concerns and societal implications of AI, including privacy, bias, transparency, and job displacement.

Arviointiasteikko

1-5