Delve into the fascinating realm of artificial intelligence (AI) with CS362, a comprehensive course designed to introduce students to the theory, algorithms, and applications of AI. From machine learning to natural language processing, this course covers essential topics in AI, empowering students to understand and develop intelligent systems that can perceive, reason, and act autonomously.
 
Course Highlights:
Introduction to Artificial Intelligence: Understand the scope and significance of artificial intelligence, including its history, milestones, and current trends, and explore its applications in various domains such as robotics, healthcare, finance, and gaming.
Search Algorithms: Explore search algorithms such as depth-first search, breadth-first search, A* search, and heuristic search, and understand how they are used to solve problems in AI, including pathfinding, planning, and optimization.
Knowledge Representation and Reasoning: Learn about different knowledge representation formalisms such as propositional logic, predicate logic, semantic networks, and frames, and understand how to use them to represent and reason about knowledge in AI systems.
Machine Learning: Gain insights into machine learning algorithms and techniques, including supervised learning, unsupervised learning, reinforcement learning, and deep learning, and understand how they are used to build predictive models and learn from data.
Natural Language Processing (NLP): Explore techniques for processing and understanding natural language, including text classification, sentiment analysis, named entity recognition, and machine translation, and understand their applications in AI-powered systems.
Computer Vision: Learn about computer vision algorithms and techniques for image processing, object detection, feature extraction, and pattern recognition, and understand how they are used to enable machines to interpret and analyze visual data.
Decision Making and Game Playing: Understand the principles of decision making under uncertainty, including probabilistic reasoning, Bayesian networks, and decision trees, and explore their applications in game playing and strategic decision-making.
Robotics and Autonomous Systems: Explore the intersection of AI and robotics, including robot perception, motion planning, control algorithms, and autonomous navigation, and understand how AI techniques are used to enable robots to operate autonomously in complex environments.
Ethical and Social Implications: Discuss ethical and social implications of artificial intelligence, including concerns about bias, fairness, transparency, accountability, and job displacement, and explore strategies for responsible AI development and deployment.
 
Who Should Enroll:
CS362 is ideal for students pursuing degrees in computer science, artificial intelligence, robotics, or related fields, as well as professionals seeking to enhance their knowledge and skills in AI. This course is suitable for beginners with a solid background in mathematics and programming as well as those with some experience in AI looking to deepen their understanding of advanced AI concepts and techniques.