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Subject name: Machine Learning and Artificial Intelligence |
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This course explores machine learning and AI concepts with a focus on biomedical applications. Students will develop algorithms, build predictive models, and apply AI solutions to analyze and improve healthcare outcomes while addressing ethical and societal considerations. Knowledge Acquisition - Understand the fundamental concepts and theoretical foundations of Machine Learning (ML) and Artificial Intelligence (AI). - Explain the types of ML and AI algorithms, their advantages, and limitations in data analysis Skill Development - Develop skills in analyzing data, designing ML and AI models, and programming them effectively. - Implement machine learning algorithms on real-world datasets and evaluate their performance. Application Competence - Apply ML and AI techniques to biomedical and healthcare data for analysis and prediction. - Implement AI-driven solutions in biomedical and other fields to enhance efficiency and decision-making. - Create analytical systems Critical Thinking and Decision-Making - Identify and address ethical and societal challenges related to the development and use of AI and ML technologies. - Propose innovative solutions to improve the efficiency, reliability, and security of ML and A
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