Components and Application of Artificial IntelligenceLaajuus (5 op)
Tunnus: MS00CN47
Laajuus
5 op
Osaamistavoitteet
After completing the course, the students can
- describe and understand about the usage of components of AI and how they can be used when building AI applications
- describe how systems using AI operate
Sisältö
- Machine Learning
- Deep learning
- Neural networks
- Intelligent autonomous systems and other applications of AI
Ilmoittautumisaika
02.12.2024 - 16.01.2025
Ajoitus
01.01.2025 - 30.04.2025
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Toimipiste
Kupittaan kampus
Opetuskielet
- Suomi
- Englanti
Paikat
10 - 30
Koulutus
- Insinööri (ylempi AMK), Data Engineering and AI
- Tradenomi (ylempi AMK), Data Engineering and AI
Opettaja
- Amin Majd
Ryhmät
-
YINTES24Master of Engineering, Interactive Technologies
-
YINTBS24Master of Business Administration, Interactive Technologies
-
YDATIS24Insinööri (ylempi AMK), Data Engineering and AI
-
YDATTS24Tradenomi (ylempi AMK), Data Engineering and AI
Tavoitteet
After completing the course, the students can
- describe and understand about the usage of components of AI and how they can be used when building AI applications
- describe how systems using AI operate
Sisältö
- Machine Learning
- Deep learning
- Neural networks
- Intelligent autonomous systems and other applications of AI
Oppimateriaalit
The course materials will be announced later during the course.
Opetusmenetelmät
Contact teaching
Pedagogiset toimintatavat ja kestävä kehitys
Contact teaching
Opiskelijan ajankäyttö ja kuormitus
Contact hours:
- 4 times 4h theory and practice: 4 x 4h = 16 hours
Final project: approximately 114 hours
Total: approximately: 130 hours
Arviointiasteikko
H-5
Ilmoittautumisaika
02.12.2023 - 16.01.2024
Ajoitus
16.01.2024 - 03.03.2024
Opintopistemäärä
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Opetuskielet
- Englanti
Koulutus
- Insinööri (ylempi AMK), Data Engineering and AI
- Tradenomi (ylempi AMK), Data Engineering and AI
Opettaja
- Amin Majd
Ryhmät
-
YDATIS23Insinööri (ylempi AMK), Data Engineering and AI
-
YDATTS23Tradenomi (ylempi AMK), Data Engineering and AI
Tavoitteet
After completing the course, the students can
- describe and understand about the usage of components of AI and how they can be used when building AI applications
- describe how systems using AI operate
Sisältö
- Machine Learning
- Deep learning
- Neural networks
- Intelligent autonomous systems and other applications of AI
Oppimateriaalit
The course materials will be announced later during the course.
Opiskelijan ajankäyttö ja kuormitus
Contact hours:
- 4 times 4h theory and practice: 4 x 4h = 16 hours
Final project: approximately 114 hours
Total: approximately: 130 hours
Sisällön jaksotus
Dive into the world of Deep Learning with our course. Explore fundamental concepts like Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). Learn essential skills for network optimization and troubleshooting. Equip yourself with the knowledge to tackle real-world challenges in neural network tuning.
Arviointiasteikko
H-5