Siirry suoraan sisältöön

Introduction to Artificial Intelligence (5 op)

Toteutuksen tunnus: TT00CO51-3002

Toteutuksen perustiedot


Ilmoittautumisaika
04.12.2024 - 17.01.2025
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
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
PTIVIS23I
Data Engineering and Artificial Intelligence
PTIETS23deai
Data Engineering and Artificial Intelligence
Opintojakso
TT00CO51

Toteutuksella on 11 opetustapahtumaa joiden yhteenlaskettu kesto on 29 t 30 min.

Aika Aihe Tila
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
Pe 24.01.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_C1027_Lambda LAMBDA
Pe 31.01.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_B1026_Gamma GAMMA
Pe 14.02.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_B1026_Gamma GAMMA
Pe 28.02.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_C1027_Lambda LAMBDA
Pe 07.03.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_C1027_Lambda LAMBDA
Pe 14.03.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
LEM_B143 Teoriatila muunto
Pe 21.03.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
LEM_A306 Teoriatila
Pe 28.03.2025 klo 08:30 - 10:00
(1 t 30 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_B1026_Gamma GAMMA
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
Pe 11.04.2025 klo 08:00 - 11:00
(3 t 0 min)
Introduction to Artificial Intelligence TT00CO51-3002
ICT_B1026_Gamma GAMMA
Muutokset varauksiin voivat olla mahdollisia.

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

Siirry alkuun