BMETE15MF75 | Institute of Physics

Course data

Course name: Artificial Intelligence in Data Science
Neptun ID: BMETE15MF75
Responsible teacher: János Török
Programme: Courses for Physicist MSc students

Course data sheet: BMETE15MF75

Requirements, Informations

Information

Actualities
Teacher
Moodle
Subjects covered
Signature requirements
Evaluation
Consultation
Results
Homework
Classes
Old materials

Actualities

The course will be held in person. The first course on 8th of September will also be given. Since this is only an introductory course and last year I recorded all lectures those who cannot attend this lecture in person can watch the corresponding video.
Please note that the course relies on the fact that everybody has good knowledge of python especially numpy.
I will use four different systems to communicate with you (sorry):
- neptun: most official, final notes, important and prompt messages
- moodle: submit everything here, evaluation will also take place here. For final grade use the formula below and not the one moodle supplies.
- physics.bme.hu: the official institute webpage, requirements are posted here. Lectures and homeworks are posted here.
- Microsoft teams: Lectures were recorded and I can give access upon request
- Please note, that I do not use microsoft teams on a daily basis, so please, do not use the chat system of the teams to communicate with me. If you have any question write an email to me torok.janos (at) ttk.bme.hu.

Teacher

János Török
Email:

Moodle

The faculty moodle system is located at https://edu.ttk.bme.hu/. You can log in using your university id. Courses should appear soon. All works must be submitted using the moodle system.
You are supposed to make pairs, homeworks are individual, but the practice work, data challenge and the final projects are supposed to be group works.

Subjects covered

Aim

Introduction to machine learning from a physicist's perspective, with the aim to understand how it works and less emphasis on tricks or parameter oprimization