This major insists on cultivating morality, intelligence, physical education, and the overall development of art and labor.It has good humanities, professional ethics, social responsibility and teamwork spirit, and has a solid foundation of artificial intelligence theory, knowledge and application skills. It can be used in artificial intelligence. High-quality applied talents engaged in the design, development, application and management of artificial intelligence products or systems in enterprises, institutions and relevant national departments.
Six core courses are offered in the major, which includes 《Data Structures and Algorithms Analysis》, 《Signal Analysis and Processing》, 《Fundamentals of Artificial Intelligence》, 《Machine Learning and Python Application》, 《Image Processing and Computer Vision》, 《Natural Language Processing》.
1. Data Structures and Algorithms Analysis
《Data Structures and Algorithms Analysis》 is the basis of programming for non-numerical calculations. This course aims to train students to choose the appropriate logical structure and storage structure for specific problem objects, and to effectively store and process data based on algorithm analysis theory, algorithm performance evaluation standards and basic algorithm design methods, and train students to solve practical applications Problem ability, lay the foundation for follow-up courses.
2. Signal Analysis and Processing
《Signal Analysis and Processing》mainly teaches signal analysis, linear time-invariant system analysis, and the basic theories and analysis methods of digital filters. Through the study of this course, students can master continuous signals in the time domain, frequency domain and other transform domains. , Discrete signal description and analysis methods, signal analysis methods through linear systems, and basic theories and design methods of digital filters, so as to have certain signal theory analysis and calculation capabilities, and lay a solid foundation for subsequent courses and professional learning.
3. Fundamentals of Artificial Intelligence
《Fundamentals of Artificial Intelligence》focus on explaining the core algorithms and theories in machine learning, and cultivate students' basic ability of using machine learning algorithms to solve problems combing Python language. Through the study of this course, students have basic knowledge and preliminary skills of Python programming, understand common algorithms and typical application fields of machine learning, and train students' ability to analyze and solve practical problems through programming exercises and examples explanation, it can lay a good foundation for further study and research in the future.
4. Machine Learning and Python Application
《Machine Learning and Python Application》focuses on explaining the core algorithms and theories in machine learning, and training students to use the Python language to master the basic ability of machine learning algorithms to solve problems. Through the study of this course, students will have the basic knowledge and preliminary skills of programming in Python language, have a preliminary understanding of commonly used algorithms and typical application fields of machine learning, and cultivate students' ability to analyze and solve practical problems through programming exercises and practical examples. In the future, more in-depth study and research will lay a good foundation.
5. Image Processing and Computer Vision
《Image Processing and Computer Vision》mainly focuses on the basic theories, basic methods and basic skills of image processing and computer vision. Through the study of this class, the aim is to enable students to systematically master the basic concepts, theories, models and algorithms of image processing and computer vision, learn to use relevant methods and tools for image processing, and construct effective visual computing models and visual systems. In the future, I will be engaged in the practice of image processing and computer vision to lay a solid foundation.
6. Natural Language Processing
《Natural Language Processing》focuses on the tasks, methods and applications of modern natural language processing. Through the study of this course, students should master the key technologies and applications of natural language processing, be familiar with the working principles and applications of some common algorithms and models, and be able to model and implement practical application problems related to natural language processing in order to engage in natural language in the future The handling practices lay a good foundation.