“人工智能课程概论及学习方法总评”

This course on Artificial Intelligence (AI) is designed to provide students with a comprehensive understanding of the fundamental concepts and techniques in the field of AI. The course is based on the textbook "Artificial Intelligence - A Modern Approach" by S. Russell and P. Norvig, which was published in 2003. The course is taught by Professor Xu Linli, and the assessment for the course is based on a final exam, written assignments, and practical experiments. The course begins with an overview of AI and introduces the concept of agents. It then delves into the topic of problem-solving and search algorithms, covering chapters 3, 4, 5, and 6 of the textbook. The third part of the course focuses on knowledge representation and reasoning using logic, encompassing chapters 7, 8, 9, and 10. The fourth part of the course addresses uncertainty in knowledge and reasoning, covering chapters 13 to 17. Finally, the course concludes with a discussion on machine learning, as presented in chapters 18 and beyond. The course emphasizes hands-on learning, and students are expected to complete practical experiments as part of their assessment. The course materials, including lecture slides and other resources, are available for download on the course website. Overall, this course provides students with a solid foundation in the theory and practice of artificial intelligence. By the end of the course, students will have gained a deep understanding of the core principles of AI, as well as practical experience in implementing AI techniques. The knowledge and skills acquired in this course will prepare students for further study or research in the field of artificial intelligence and related areas, as well as for applying AI techniques in various domains such as robotics, natural language processing, and data analysis. With the increasing importance of AI in today's world, this course equips students with valuable expertise that is in high demand in the job market.