Artificial Intelligence Course Syllabus
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Our artificial intelligence syllabus provides students a thorough introduction to the core ideas of artificial intelligence (AI), giving them the information and abilities they need to comprehend, create, and use AI solutions. Students will investigate the fundamental ideas of artificial intelligence (AI), such as search algorithms, knowledge representation, machine learning, natural language processing (NLP), computer vision, and robotics, through a combination of theoretical and hands-on learning with our AI course syllabus.
Course Syllabus
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- Artificial intelligence fundamentals
- Computational mathematics for learning and data analysis
- Machine learning
- Human language technologies
- Parallel and distributed systems: paradigms and models
- Intelligent Systems for pattern recognition
- Algorithm engineering (KD)
- Data mining (KD)
- Mobile and cyber-physical systems (ICT)
- Real-time Data Warehouse migration
- Information retrieval (KD)
- Social and ethical issues in computer technology
- Computational neuroscience (ING)
- Robotics
- Semantic web
Explore our artificial intelligence course subjects as it will equip students with a solid foundation in artificial intelligence, preparing them for future advancements in this exciting and rapidly growing industry.
