Formation indisponible à l'heure actuelle
B.Sc. Applied Artificial Intelligence
Bachelor
En Ligne
Description
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Typologie
Bachelor
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Méthodologie
En ligne
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Durée
36 Mois
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Crédits
180
Artificial intelligence tools are becoming more common in our daily lives and will continue to be for a long time. They include things like chatbots, digital assistants (like Alexa or Siri), self-driving cars, and advanced robots. AI is important in many industries, and it's a great opportunity for young people to start a career. The Bachelor’s degree in Artificial Intelligence at IU helps you do just that. You'll learn about robotics, machine learning, and other important topics. Later, you can choose to focus on areas like self-driving cars or Industry 4.0. Get ready to shape the future!
À propos de cette formation
High School Leavers
Academic Requirements:
- General or subject-related secondary school diploma (or equivalent).
- Don’t have a secondary school diploma? Get in touch with our Study Advisory Team.
English Level:
- Proof of English skills.
- If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
Les Avis
Les matières
- Artificial intelligence
- Collaborative Work
- Cloud computing
- Inferential Statistics
- Cloud Programming
- Supervised Learning
- User experience
- Agile Project Management
Le programme
Semester 1
- Artificial Intelligence
- Introduction to Academic Work
- Introduction to Programming with Python
- Mathematics: Analysis
- Collaborative Work
- Statistics - Probability and Descriptive Statistics
Semester 2
- Object-Oriented and Functional Programming with Python
- Mathematics: Linear Algebra
- Intercultural and Ethical Decision-Making
- Statistics - Inferential Statistics
- Cloud Computing
- Cloud Programming
Semester 3
- Machine Learning - Supervised Learning
- Machine Learning - Unsupervised Learning and Feature Engineering
- Neural Nets and Deep Learning
- Introduction to Computer Vision
- Project: Computer Vision
- Introduction to Reinforcement Learning
Semester 4
- Introduction to NLP
- Project: NLP
- Introduction to Data Protection and IT Security
- Data Science Software Engineering
- Project: From Model to Production
- Seminar: Ethical Considerations in Data Science
Semester 5
- User Experience
- UX-Project OR
- Project: Edge AI
- Introduction to Robotics
- Agile Project Management
- Electives A
Semester 6
- Elective B
- Elective C
- Bachelor Thesis
B.Sc. Applied Artificial Intelligence