Carrera universitaria presencial
Berlin (Alemania)
Duración : 36 Meses
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!
Why should you choose IU?
• Affordable: Enjoy tuition fee reduction
• Flexible: 24/7 access to IU’s digital learning materials, wherever you are
• 24/7 Assistance: IU’s AI-driven teaching assistant helps you prepare for exams, find materials in the virtual library, and clarify questions
• Career-oriented: Courses combine theory and practical application through real-world case studies
• International: All programmes are accredited according to German and EU standards in education
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Requisitos
Academic Requirements: - Higher Secondary School Leaving Certificate such as A-Levels, IB Diploma including your Transcript of Records. - Proof of eligibility to study a bachelor's degree at university in Germany. Depending on your chosen programme, academic level, and background, you might need to also take one of the following to make sure you are ready to study with us: - Bachelor Entrance Examination - A-Levels Courses English Level: - Proof of English skills. - If you do not meet the English skills requirements, IU offers a free of charge English Language course. This is available to you if you meet the other admission requirements. - If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
Temario completo de este curso
SEMESTER 1
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
Introduction to Robotics
Agile Project Management
Electives A
SEMESTER 6
EFECTIVES OVERVIEW
In your 5th semester, you'll need to choose an elective module, which you can choose from one of the following modules:
Autonomous Driving
Production Engineering, Automation and Robotics
Data Engineer
Digital Signal Processing and Sensor
Database Developer
Business Intelligence
Data Analyst
Augmented, Mixed and Virtual Reality
In your 6th semester, you'll need to choose an elective module, which you can choose from one of the following modules:
International Marketing and Branding
Applied Sales
Supply Chain Management
IT project and Architecture Management
Psychology of Human Computer Interaction