Nid: 25628 Presentation Goals Requirements Syllabus Methodology Academics Career Opportunities Syllabus Year 1 Semester 1Semester 2Thought and creativity I (2)Fundamentals of programming I (6)Fundamentals of programming II (6)Mathematical foundations (6)Probability and statistics (6)Linear algebra (6)Computing infrastructures (6)Computational logic (6)Differential and integral calculus (6)Artificial intelligence and its ethical considerations (4)Design and usability (6) Year 2 Semester 1Semester 2Thought and creativity II (2)Advanced programming and data structure (6)Artificial Intelligence legislation (4)Mathematical methods for artificial intelligence (6)Operating systems (6)Business administration (6)Object-oriented design and programming (6)Methods for advanced data analysis and visualization (6)Machine learning (6)Knowledge-based systems (6)Databases (6) Year 3 Semester 1Semester 2Thought and creativity III (3)Optimitzation (6)Artificial intelligence projects (6)Programming languages (6)Autonomous systems and robotics (6)Software methodology (3)Artificial vision (6)Computing infrastructures and security for artificial intelligence (6)Natural language processing (6)Neural networks and deep learning (6)Project management (6) Year 4 Semester 1Semester 2 Final Thesis (15) Internship (15) Elective Subjects Semester 1Semester 2Local area networks (6) AI specialization I (6) Artificial intelligence in biomedicine (6) Quantum information (6) Medical robotics (6) Artistic co-creation with artificial intelligence (6) Human-machine interaction (6) Time series forecasting (6) Artificial intelligence in business processes (6) AI specialization IV (6) Signal processing and medical images (6) Cybersecurity with machine learning (6) AI specialization II (6) AI specialization III (6) Industrialization of artificial intelligence models (6) Artificial intelligence applied to marketing (6) Financial analytics (6) AI specialization V (6)