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(in Polish) Uczenie robotów

General data

Course ID: 1000-3D21RC
Erasmus code / ISCED: (unknown) / (unknown)
Course title: (unknown)
Name in Polish: Uczenie robotów
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: MSc seminars for Machine Learning
ECTS credit allocation (and other scores): 5.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: English
Type of course:

Master's seminars

Short description:

The seminar's topic is works in the field of the broad issue of robot learning, which includes:

Computer vision,

Reinforcement learning,

Robot control,

Human-robot interactions.

The seminar is conducted in the form of presentations delivered by participants. The presentation topics are related to current research in the field of robot learning.

Classes in period "Academic year 2023/24" (in progress)

Time span: 2023-10-01 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Second cycle diploma seminar, 60 hours more information
Coordinators: Marek Cygan
Group instructors: Marek Cygan, Jacek Cyranka
Students list: (inaccessible to you)
Examination: Pass/fail

Classes in period "Academic year 2024/25" (future)

Time span: 2024-10-01 - 2025-06-08
Selected timetable range:
Navigate to timetable
Type of class:
Second cycle diploma seminar, 60 hours more information
Coordinators: Marek Cygan, Jacek Cyranka
Group instructors: Marek Cygan, Jacek Cyranka
Students list: (inaccessible to you)
Examination: Pass/fail
Course descriptions are protected by copyright.
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