Course Overview:
CS 301 is an introductory course designed to provide students with a comprehensive understanding of the foundational concepts in artificial intelligence (AI) and machine learning (ML). This course aims to bridge the gap between theory and practice by offering both a solid theoretical background and practical, hands-on experience. Students will explore how AI and ML are revolutionizing various industries, with particular emphasis on applications in the maritime sector and other real-world scenarios.
Course Objectives:
By the end of the course, students will:
Understand the ethical implications of AI and ML and be able to discuss the potential impacts on society.
Understand the key concepts and algorithms in artificial intelligence and machine learning.
Be able to differentiate between various types of machine learning, such as supervised, unsupervised, and reinforcement learning.
Develop the ability to apply machine learning techniques to solve complex problems in different domains.
Gain experience in using industry-standard tools and platforms for developing and deploying AI/ML models.
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