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This course will introduce the basic concepts, history, classic algorithms, and application fields of Artificial Intelligence. And in this course students will learn what Artificial Intelligence (AI) is, understand AI concepts and terms like data processing, machine learning, deep learning and neural networks. Students will also explore use cases and applications of AI such as classification, computer vision, and natural language processing.
The objectives of this course are to help students understand AI, induce their interests in learning AI, and provide new thinking methods and problem-solving methods.
Course Staff
Gong Wang
Associate Professor
Nankai University
Gang Wang is an Associate Professor of Computer Science at Nankai University in China. Dr. Wang has taught computer programming, artificial intelligence and machine learning at Nankai university for more than a decade and has received several Excellence in Teaching Awards. His research has focused on computer vision and data mining.
Yan Li
Experimentalist
Nankai University
Yan Li is an Experimentalist of Computer Science at Nankai University in China. She has been engaged in the teaching of Basic Knowledge of Computers, Database Technology and Application (ACCESS), Data Structures and Algorithms and C++ Programming Language for ten years.
Jiehui Kang
Experimentalist
Nankai University
Jiehui Kang is an Experimentalist of Computer Science at Nankai University in China. His courses include Basic Knowledge of Computers,Database Technology and Application (ACCESS),Programming Fundamentals，Data Structures and Algorithms，C++ Programming Language.
Kai Wang
Associate Professor
Nankai University
Kai Wang is an Associate Professor of Computer Science at Nankai University in China. Dr. Wang has taught computer programming, artificial intelligence and machine learning at Nankai university for more than a decade and has received several Excellence in Teaching Awards. His research has focused on computer vision, machine learning and data analysis.
