Introduction to Artificial Intelligence (5 op)
Toteutuksen tunnus: TT00CO51-3002
Toteutuksen perustiedot
- Ilmoittautumisaika
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04.12.2024 - 17.01.2025
Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
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17.01.2025 - 30.04.2025
Toteutus on käynnissä.
- Opintopistemäärä
- 5 op
- Lähiosuus
- 5 op
- Toteutustapa
- Lähiopetus
- Yksikkö
- Tekniikka ja liiketoiminta
- Toimipiste
- Kupittaan kampus
- Opetuskielet
- englanti
- Paikat
- 0 - 60
- Opettajat
- Golnaz Sahebi
- Pertti Ranttila
- Ryhmät
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PTIVIS23IData Engineering and Artificial Intelligence
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PTIETS23deaiData Engineering and Artificial Intelligence
- Opintojakso
- TT00CO51
Toteutuksella on 12 opetustapahtumaa joiden yhteenlaskettu kesto on 32 t 45 min.
| Aika | Aihe | Tila |
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Pe 17.01.2025 klo 10:00 - 11:00 (1 t 0 min) |
Course Introduction - Introduction to Artificial Intelligence TT00CO51-3002 |
The link to join this online class
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Pe 24.01.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_C1027_Lambda
LAMBDA
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Pe 31.01.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_B1026_Gamma
GAMMA
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Pe 14.02.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_B1026_Gamma
GAMMA
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Pe 28.02.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_C1027_Lambda
LAMBDA
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Pe 07.03.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_C1027_Lambda
LAMBDA
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Pe 14.03.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
LEM_B143
Teoriatila muunto
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Pe 21.03.2025 klo 08:00 - 11:00 (3 t 0 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
LEM_A306
Teoriatila
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Pe 28.03.2025 klo 08:30 - 10:00 (1 t 30 min) |
Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_B1026_Gamma
GAMMA
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Pe 04.04.2025 klo 08:00 - 11:00 (3 t 0 min) |
Quest speaker Paulo Maio: Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_C1027_Lambda
LAMBDA
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Pe 11.04.2025 klo 08:00 - 11:00 (3 t 0 min) |
Teamwork Collaboration - No Lecture - Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_B1026_Gamma
GAMMA
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Pe 25.04.2025 klo 08:45 - 12:00 (3 t 15 min) |
Final Seminar_ Introduction to Artificial Intelligence TT00CO51-3002 |
ICT_C1027_Lambda
LAMBDA
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Arviointiasteikko
H-5
Sisällön jaksotus
Course Topics and Scheduling (pre-planning):
week 03: Introduction to AI: history, definitions, and applications.
week 04: Problem-solving methods in AI and Intelligent Agents
week 05: State Space Search Algorithms
week 06: Exercise Demonstrations I
week 07:
week 08: Winter Break
week 09:
week 10:
week 11: Ethical and Social Implications of AI + Exercise Demonstrations II
week 12-14: Applications of AI in Real-World Problems
week 15: Independent teamwork for the final seminar
week 16: Final seminar presentation
Tavoitteet
After completing the course, the student is able to:
- Understand what the artificial intelligence is
- Explain the basic concepts of artificial intelligence
- Describe the fields of artificial intelligence
- Describe the machine learning process
Sisältö
Introduction to artificial intelligence (AI)
Problem solving and search algorithms
Introduction to machine learning
Ethical and social implications of AI
Oppimateriaalit
+ Course book: (preplan)
Artificial Intelligence: A Modern Approach
Authors: Stuart Russell and Peter Norvig
Publisher: Pearson; 4th Edition (April 28, 2020).
Note: the instructor will cover some parts of this book according to the course topics and instructions, which will be announced in the first session.
+ The course also has some extra reading material, videos, and slides which will be announced during the course and available via the learning environment (ITS).
Opetusmenetelmät
+ Lectures: The instructor will deliver approximately 10 lectures on the course topics using slides, videos, exercise, seminar, and final seminar presentation. In addition, 3 lectures might be delivered by our guest lecturers from TUAS different research groups or external companies to cover the applications of AI in autonomous driving and wireless communications, healthcare, gaming, and business.
+ Assignments: Students will complete several assignments that involve problem-solving, critical thinking, and programming exercises.
+ Seminar presentation: Students will present a 15-minutes seminar in a group of 2-4 about the Future of AI including current trends and advancements in AI, AI in research and development, Ethical, legal, and societal challenges in the future.
Tenttien ajankohdat ja uusintamahdollisuudet
+ No exam, retake not possible after the publication of the final assessment/course grade
+ Final seminar in Week 16.
Opiskelijan ajankäyttö ja kuormitus
+ Contact hours
- 1 time 2h course introduction
- 12 times 3h theory, practice, and independent work: 12 x 3h = 36hours
+ Home work: approximately 60 hours
+ Seminar: approximately 34 hours
Total: approximately 130 hours
Lisätiedot
+ Qualifications/Prerequisites:
Student enrollment in the course will not be accepted by the instructor if they have not passed the following prerequisite courses:
- Data Structures and Algorithms
- Python Programming
The other additional information is share via ITS