Applied AI and Robotics for Industrial Use
BASIC DATA
course listing
A - main register
course code
NTR0670
course title in Estonian
Tehisintellekti ja robootika rakendused tööstuses
course title in English
Applied AI and Robotics for Industrial Use
course volume CP
-
ECTS credits
6.00
to be declared
yes
fully online course
not
assessment form
Examination
teaching semester
autumn - spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
EDTR17/25
yes
Structural units teaching the course
ET - Tartu College
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Õppeaine eesmärk on aidata üliõpilasel omandada kaasaegsed teadmised tehisintellekti kasutamisest tööstuses ja robootikas. Õppeaine õpetab üliõpilasele orienteerumist tööstuses ja igapäevaelus kasutusel olevates tehisintellekti ning robootika tehnoloogiates ja annab teadmised selliste süsteemide ehitamisest. Õppeaine läbinud üliõpilane oskab hiljem tööelus märgata tehisintellekti ja robootika kasutuskohti, valida sobivad lahendused ja neid rakendada.
course aims in English
The aim of the course is to help the students acquire up-to-date knowledge on the use of artificial intelligence in industry and robotics. The course teaches students to orient themselves in the technologies of artificial intelligence and robotics used in industry and in everyday life, and provides knowledge on how to build such systems. Students who complete the course are able to identify the applications of artificial intelligence and robotics later in their working lives, to select suitable solutions and to implement them.
learning outcomes in the course in Est.
Õppeaine läbinud läbinud üliõpilane:
1. võrdleb ja kirjeldab tehisintellekti ning robootika tehnoloogiaid;
2. valib probleemi lahendamiseks sobilikud tehisintellekti ja robootika lahendused;
3. selgitab erinevate tehisintellektitehnoloogiate lihtsamaid piiranguid ja võimalusi;
4. selgitab tehisintellekti ja robotite kasutamisega kaasnevaid põhilisi ohte;
5. suudab iseseisvalt projekteerida tehisintellekti ja robootikalahenduse kasutava tööstusprotsessi.
learning outcomes in the course in Eng.
After completing this course, the student:
1. compares and describes artificial intelligence and robotics technologies;
2. selects appropriate artificial intelligence and robotics solutions to solve problems;
3. explains basic limitations and possibilities of different AI technologies;
4. explains basic risks associated with the use of artificial intelligence and robots;
5. designs independently an industrial process using artificial intelligence and robotic solutions.
brief description of the course in Estonian
Kursuse raames käsitletakse järgmisi teemasid:
1. Tehisintellekt ja selle põhilised tehnoloogiad
2. Robootika jaoks olulised elektroonika alused
3. Robootika alused ja robotite ehitus
4. Transpordirobotid
5. Tehisintellekti mudelid, ehitus, jaotus
6. Närvivõrkude arhitektuur ja tööpõhimõtted
7. Närvivõrkude rakendamine robootikas
8. Närvivõrkude rakendamine tööstuses
9. Robotite rakendamine tööstuses
10. Praktiliste kasutusnäidete analüüs
brief description of the course in English
The following topics are covered in the course:
1. Artificial intelligence and its key technologies
2. The basics of electronics relevant to robotics
3. The basics of robotics and robotic engineering
4. Transport robots
5. Models, design, and classification of artificial intelligence
6. Architecture and function of neural networks
7. The application of neural networks in robotics
8. The application of neural networks in industry
9. Industrial application of robots
10. Analysis of practical use cases
type of assessment in Estonian
Iseseisvad tööd, online-testid, lõpueksam või projekt.
type of assessment in English
-
independent study in Estonian
Grupitöö või iseseisva tööna valminud projekt.
independent study in English
-
study literature
-
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
1.0
lectures
-
practices
1.0
practices
-
exercises
2.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2024/2025 spring
Martin Rebane, ET - Tartu College
Estonian
    Course description in Estonian
    Course description in English