Artificial intelligence (AI) is founded as a branch of computer science and has been become an interdisciplinary discipline and a very important research field. AI is studying how to use computer and software to achieve the think, perception and behavior of intelligent agent, its theoretical basis are mainly composed by searching, reasoning, planning and learning, and its application fields include computer vision, image analysis, pattern recognition, expert system, automated planning, intelligent search, computer game, intelligent control, robotics, natural language processing, social network, data mining, virtual reality, and etc.

After systematically reviewing the history of AI, this course focuses on the core ideas, basic theories, major approaches and some applications of artificial intelligence.

This course is based on an English textbook and has compiled and enriched a lot of contents according to the development and growth of artificial intelligence, especially the field of machine learning. It is consisting of into 5 parts and 12 chapters.

The learner should have a certain degree of computer knowledge such as data structure and algorithm, and mathematical knowledge such as linear algebra and probability theory.

[1] Stuart Russell and Peter Norvig. “Artificial Intelligence: A Modern Approach (3rd Edition)”. Prentice Hall, Dec. 11, 2009.

[2] Artificial Intelligence: A Modern Approach, "aima.cs.berkeley.edu”

[3] Wenmin Wang. “Principles of Artificial Intelligence”. Higher Education Press, Aug. 28, 2019.  “hep.com.cn/book/details?uuid=b0900ec1-16ac-1000-804d-4f70147a3a5d”

[4] Mehryar Mohri,Afshin Rostamizadeh and Ameet Talwalkar."Foundations of Machine Learning".

The MIT Press,Aug.17,2012.