Beijing University of Civil Engineering and Architecture has certain strength and advantages in the field of artificial intelligence. The school has majors and research directions related to artificial intelligence, a professional team of teachers and good teaching resources. The school pays attention to the combination of theory and practice, and provides students with rich practical opportunities and laboratory facilities. In addition, the school also cooperates with enterprises and research institutions to provide internship and employment opportunities for students.
Artificial intelligence. It is a new technical science to study and develop theories, methods, technologies and application systems that simulate, extend and expand human intelligence. Artificial intelligence is a branch of computer science, which tries to understand the nature of intelligence and produce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system.
The curriculum system of artificial intelligence specialty includes:
Artificial intelligence, society and humanities, philosophical basis and ethics of artificial intelligence, advanced robot control, cognitive robot, robot planning and learning, bionic robot, swarm intelligence and autonomous system, driverless technology and system realization, game design and development, computer graphics, virtual reality and augmented reality, modern methods of artificial intelligence I.
Employment direction of artificial intelligence major in Beijing Jianzhu University
1, artificial intelligence R&D engineer: graduates can engage in algorithm development, model design and optimization in the field of artificial intelligence research and development. They can participate in the development of artificial intelligence systems, machine learning models and deep learning algorithms.
2. Data scientists and analysts: Graduates majoring in artificial intelligence can apply machine learning and data analysis technology to engage in data preprocessing, feature engineering, data mining and data model construction, help enterprises or organizations to tap the potential value in data and provide data support for decision-making.
3. Natural language processing engineer: Natural language processing is an important branch of artificial intelligence, and graduates can engage in text processing, semantic analysis, machine translation, intelligent question and answer and other related work in this field.
4. Machine Vision Engineer: Graduates can use computer vision technology for image processing, target detection and recognition, face recognition and image generation.
5.AI solution architect: Graduates can apply artificial intelligence and machine learning technology to design and build intelligent solutions for enterprises or organizations to help solve practical problems and improve work efficiency.