Minor Course In Artificial Intelligence And Machine Learning

The Minor Course in Artificial Intelligence and Machine Learning is designed to equip students with a foundational understanding and practical skills in AI and ML. The curriculum covers essential topics such as machine learning algorithms, neural networks, data mining, natural language processing, and computer vision.

Students will gain hands-on experience through projects and lab exercises, applying theoretical concepts to real-world problems. The course emphasizes the development of critical thinking and problem-solving skills, preparing students for advanced studies or careers in AI and ML fields.

By integrating knowledge from computer science, mathematics, and statistics, this course provides a comprehensive overview of how intelligent systems are designed and implemented.

Additionally, ethical considerations and the societal impact of AI technologies are explored, ensuring students are aware of the broader implications of their work. This course is ideal for students seeking to augment their primary field of study with cutting-edge expertise in AI and ML.

Course Curriculum:

• Mathematical Foundations of Machine Learning
• Artificial Intelligence and Machine Learning
• Deep Learning and Neural Network
• Computer Vision and NLP
• Generative AI
• Applications of AI