沈阳城市学院

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Overview

Degree：Engineering Degree
Study mode:Full-time
Duration：4 years
Belong to：School of Intelligent Engineering

Specialty Field：

This major is a special major added by the National New Engineering Department and Liaoning Province. Facing the fields of machine learning, intelligent algorithm, data technology, etc., we cultivate high-quality engineering and technical talents mastering the knowledge and technology of neural network and deep learning, signal processing and speech recognition, multi-modal data labeling, AI system training, etc., and adept at machine learning application, intelligent algorithm implementation, audio-visual system development and other capabilities.

Specialty Features：

●This major is characterized by the implementation of the vocational contextualized talent training model with the core of job ability formation and the scientific research results feed back the teaching. Students complete the works of the subject competition during the learning process. Through the use of immersive experience, embedded training, group cooperative learning and other practical teaching forms, we cultivate students’ innovative thinking and engineering practice ability.
●This major sets up special course modules such as machine learning, intelligent algorithm, audio-visual system, data technology, etc. and cooperates with the University of Manchester, the University of Bristol, the University of Sheffield, the University of Leeds, etc. to offer pre-master courses to provide strong support for high-level talent training.
●Our major relies on the school’s National Youth Robotics Level Examination Service Center, Intelligent Perception and Motion Control Laboratory, Machine Vision Laboratory, VR Laboratory, etc. In conjunction with Shenyang Institute of Automation, Chinese Academy of Sciences, Huawei Technologies Co., Ltd., Zhejiang Tianhuang Technology Industry Co., Ltd., Liaoning Technology companies such as Fuchuang Precision Equipment Co., Ltd. and Xinsong Robot Automation Co., Ltd., we have established off-campus practice teaching bases to build high-quality internship employment platforms for students.

Entry Requirements

●Students need to take the national college entrance examination, and their scores should pass the provincial undergraduate admission score basic line, and higher scores will be preferred.
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Structure

Year 1
- AI Modeling and Communication Design
- Intelligent System Software Development
- Data VR Language
- Intelligent System Python Programming
- Linear Algebra and Probability and Statistics
Year 2
- Neural Network Algorithm and Implementation
- Natural Language Artificial Intelligence Processing
- Machine Vision and Image Processing
- Artificial Intelligence Ethics
- Intelligent Control System Development
- Multi-agent VR Interaction Technology
Year 3
- Deep Learning Framework Technology
- Machine Learning
- Multimodal Data Annotation Technology
- AI System Training
- Pattern Recognition
- Generative Adversarial Learning Systems
Year 4
- Specialty Practice
- Graduation Design

Ability Cultivation

The graduates from this specialty are expected to have the following core competences

Machine Learning Application Capabilities
Intelligent Algorithm Realization Ability
Audiovisual System Development Capabilities
Ability to Apply Digital Technology

Careers

After graduation, students can engage in engineering technology, scientific research and teaching work such as intelligent system development, natural language processing, information perception control, data technology application in technology enterprises, research institutions, science, education, culture and health and other enterprises and institutions or choose to start their own businesses and enter the country to study for a master’s degree in a related major in a foreign institution.

Scholarships

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