Computer Science and Technology

The Computer Science and Technology program is designed to meet the needs of national economic and social development as well as industry demands. It cultivates interdisciplinary, high-caliber professionals who possess a solid understanding of fundamental theories and skills in both software and hardware, and who demonstrate strong adaptability, a hands-on mindset, and a spirit of innovation. Graduates are well-equipped for further study in related disciplines or for careers in the information technology industry, research institutions, higher education, and related fields, where they may engage in research, management, system design, development, and testing of computer systems.Core Courses: Computer Organization and Architecture, Data Structures, Algorithm Design and Analysis, Operating Systems, Compiler Principles, Database Systems, Computer NetworksSpecialized Courses: Object-Oriented and Multithreaded Comprehensive Lab, Fundamentals of Computer Systems, Cloud Computing and Service Computing, Computer Vision, Machine Learning, Frontiers in Computer Science

Software Engineering

The Software Engineering program aims to address national economic, social, and industrial needs by cultivating professionals with a solid foundation in mathematics and natural sciences, as well as comprehensive knowledge, theory, skills, and methods of software engineering. The program focuses on nurturing compound talents with strong adaptability, practical competence, and innovative thinking, capable of conducting software research, design, and development. Graduates may pursue advanced studies in related disciplines or work in the information technology industry, research institutions, universities, and other fields, undertaking roles related to software research, management, design, development, and testing.Core Courses: Discrete Structures, Data Structures, Fundamentals of Software Engineering, Operating Systems, Compiler Principles, Software Design and Architecture, Software Quality Assurance and TestingSpecialized Courses: Software Engineering Economics A, Information Security, UML Modeling Techniques, Software Process and Project Management, Information Retrieval and Natural Language Processing, Embedded Systems Applications, Web Application Development, Large-Scale Model Application Development, Cloud Computing and Service Computing, Internship in Software Enterprise Practices, Software System Design and Development Practice

Data Science and Big Data Technology

The Data Science and Big Data Technology program is designed to serve the needs of national development and the data-driven industry by cultivating professionals with a strong foundation in mathematics, computer science, and big data theory and applications. It focuses on training high-level, interdisciplinary talents who demonstrate adaptability, practical ability, and innovation, and who are capable of conducting research, design, and development in big data technologies. Graduates may continue their studies in big data-related fields or work in the IT industry, research institutes, and universities, engaging in research, management, design, development, and testing of big data systems.Core Courses: Introduction to Data Science, Data Structures and Algorithms, Machine Learning and Data Mining, Database Systems, Fundamentals and Technologies of Big Data, Distributed and Parallel ComputingSpecialized Courses: Statistical Simulation and R Programming, Networks, Groups and Markets, Data Storage Technologies, Intelligent Vehicle Networking Technologies

Artificial Intelligence

The Artificial Intelligence program is tailored to meet the growing demands of the information technology sector and national development. It aims to cultivate innovative and entrepreneurial talents with a strong foundation in mathematics, natural sciences, and computer science, as well as solid theoretical and practical skills in AI science and technologies. The program emphasizes the ability to conduct scientific research, develop AI systems, and apply AI solutions in various interdisciplinary domains such as transportation, materials science, and life sciences. Graduates can pursue advanced studies in AI or engage in research, design, development, maintenance, and management roles within AI-related industries and sectors.Core Courses: Data Structures and Algorithms, Introduction to Artificial Intelligence, Digital Image Processing, Machine Learning and Data Mining, Natural Language Processing, Computer Vision, Deep LearningSpecialized Courses: Networks, Groups and Markets, Principles and Applications of Intelligent Chips, Intelligent Vehicle Networking Technologies, Intelligent Systems and Applications, Materials Big Data and Its Applications, Transportation Big Data and Its Applications, Shipping and Port Big Data and Its Applications, Bioinformatics, Digital Economics