Fundamentals of AI
| Rakennetyyppi: | Opintojakso |
|---|---|
| Koodi: | H2C1105 |
| OPS: | H2C 2020 |
| Taso: | Täydennyskoulutus yms. |
| Opiskeluvuosi: | 1 (2020-2021) |
| Lukukausi: | Kevät |
| Laajuus: | 3 op |
| Vastuuopettaja: | Salonen, Klaus |
| Opetuskieli: | Englanti |
Toteutukset lukuvuonna 2020-2021
| Tot. | Ryhmä(t) | Opiskeluaika | Opettaja(t) | Kieli | Ilmoittautuminen |
|---|---|---|---|---|---|
| 3001 | H2C-20 | 13.11.2020 – 19.12.2020 | Kenneth Norrgård, Klaus Salonen | Englanti | 10.8.2020 – 31.8.2020 |
Osaamistavoitteet
After the course the student will be familiar with the concepts of Artificial Intelligence (AI), Machine learning (ML), and Artificial Neural Networks (ANN). The student will also understand the workflow from problem to solution using data, selecting algorithms and creating predictive models with tools such as Tensorflow, Theano, and Scikit-learn. An introduction to Python programming language is included.
Opiskelijan työmäärä
A total of 81h split up evenly on weekly activities.
Edeltävät opinnot / Suositellut valinnaiset opinnot
For Python some basic programming skill or at least a rudimentary understanding is helpful but not mandatory. For AI an understanding of Python and statistical methods is helpful but not mandatory.
Aluevaikuttavuus
The demand for AI fluent individuals is high regionally, nationally, and internationally. The gap between demand and supply of qualified personel is also increasing and therefore the impact of this course is high especially for regional companies.
Kansainvälisyys
The demand for qualified personel is for the foreseeable future on the rise regionally, nationally, and internationally.
Opetusmuoto / Opetusmenetelmät
This is an online course with selected hand-picked courses for personal use and with the possibility to do some hands-on, unsupervised exercises. There are no on-campus lectures for this course.
Arviointimenetelmät
Quizzes.