Software Engineering Program
I. About the Program
Software Engineering is a discipline rooted in computer science & technology and management science, aiming to develop high-quality software products. Its knowledge domain covers the entire software lifecycle, from requirements analysis to product delivery and maintenance. Emphasizing the engineering nature of software development, this program enables students to master the knowledge, methods, and skills necessary for software requirements analysis, design, testing, maintenance, and project management, based on a solid foundation in computer science & technology. Graduates can engage in software system design, development, testing, project management, and service roles in IT-related industries and enterprises.
As a First-Class Undergraduate Education Demonstration Program and an Application-Oriented Transformation Demonstration Program in Liaoning Province, it follows international engineering education accreditation standards and adopts a university-enterprise joint training model. The major has four professional directions: artificial intelligence and big data technology, web application development technology, information security technology and digital intelligence medical technology, and has profound accumulation and characteristics in application system development, software design and project management. It maintains in-depth and stable collaborations with multiple renowned domestic IT enterprises for professional co-construction and collaborative training. The program has established comprehensive internship and practice bases, including off-campus internship sites and a fully enterprise-oriented large-scale on-campus engineering practice base, providing excellent environments and support for students' comprehensive engineering practice.
II. Training Objectives
This program cultivates socialist builders and successors with good morality and cultural literacy, who consciously practice core socialist values and achieve all-round development in morality, intelligence, physique, aesthetics, and labor. Graduates will master the basic theories, knowledge, and methods of software engineering; possess the ability to design solutions and implement complex software systems using advanced tools and engineering thinking; demonstrate good professional literacy in clear communication, teamwork, and awareness of social, safety, legal, and environmental issues; and have innovative thinking and career development capabilities. They will become high-quality innovative and application-oriented talents engaged in software system design, development, testing, project management, and service in software engineering and related fields.
Within approximately 5 years after graduation, students should achieve the following goals:
1.Develop a sound personality and good scientific and cultural literacy, uphold professional ethics and a strong sense of social responsibility, practice core socialist values, and understand and fulfill responsibilities in the field of software engineering.
2.Demonstrate strong innovative awareness and broad professional vision, and apply professional knowledge, engineering techniques, and innovative methods to solve complex software engineering problems in compliance with relevant regulations and technical standards.
3.Competitive in software engineering and related fields, able to be competent in software system design, development, testing, software project management, service, etc.
4.Cultivate international perspectives and communication skills to work in multidisciplinary and cross-cultural environments. Exhibit excellent teamwork spirit, serve as leaders or key members in teams, and communicate effectively.
5.Update knowledge through self-learning, enhance capabilities and technical proficiency, and adapt to social development and industry competition through continuous learning.
III. Course Info
·Computer Organization and Architecture
·Object-Oriented Programming
·Principles and Applications of Databases
·Computer Operating Systems
·Computer Networks
·Discrete Mathematics
·Data Structures and Algorithms
·Software Design and Architecture
·Software Engineering
·Software Testing and Quality Assurance
·Software Project Organization and Management
·Artificial Intelligence and Machine Learning
Data Science and Big Data Technology Program
I. About the Program
The Data Science and Big Data Technology program, relying on the discipline of Computer Science and Technology, cultivates students to master the basic theories and knowledge of multiple disciplines such as computer science and technology, mathematics, and statistics. It equips students with core industry skills in big data collection and preprocessing, storage and computing, analysis and mining, visualization, as well as the ability to design and develop big data application systems. Graduates can engage in big data analysis and processing, development and operation of big data application systems, etc., in IT-related industries and enterprises.
Guided by the national big data strategic plan and the construction of Digital-Intelligent Liaoning, the program precisely meets industrial needs and focuses on cultivating big data talents for the industrial sector. Following the engineering education professional certification standards, it carries out university-enterprise professional co-construction with renowned domestic IT enterprises, adopting a 2.5+0.5+1 training model: 2.5 years of general and professional basic education, 0.5 year of professional direction cultivation, and 1 year of enterprise technology application and practice. Relying on provincial off-campus internship bases and a fully enterprise-oriented large-scale on-campus engineering practice base, it provides students with full-process and comprehensive engineering practice training, enabling them to have good engineering literacy, strong innovative awareness, and team collaboration capabilities.
II. Training Objectives
This program cultivates builders and successors of socialist causes with good morality and cultural literacy, who consciously practice core socialist values and achieve all-round development in morality, intelligence, physique, aesthetics, and labor. Graduates will master the basic theories of multiple disciplines such as computer science and technology, mathematics, and statistics, as well as the basic knowledge, methods, and skills in the field of data processing and analysis. They will possess the ability to design solutions using engineering thinking and computational principles to solve complex engineering problems in the field of big data, have innovative spirit and good comprehensive qualities, adapt to social development needs, and become innovative and application-oriented senior professionals engaged in big data processing and analysis, development and operation of big data systems, etc., in information technology-related fields.
Within approximately 5 years after graduation, students should achieve the following goals:
1.Develop a sound personality and good scientific and cultural literacy, uphold professional ethics and a strong sense of social responsibility, practice core socialist values, and understand and fulfill responsibilities in the field of big data.
2.Demonstrate strong innovative awareness and broad professional vision, and apply professional knowledge, engineering techniques, and innovative methods to solve complex engineering and technical problems in big data-related fields in compliance with relevant regulations and technical standards.
3.Compete effectively in the field of data engineering and related areas, and be capable of undertaking work in data management and application, system design, development and operation, as well as technical management.
4.Cultivate international perspectives and communication skills to work in multidisciplinary and cross-cultural environments. Exhibit excellent teamwork spirit, serve as leaders in teams, and communicate effectively.
5.Update knowledge through self-learning, enhance capabilities and technical proficiency, and adapt to social development and industry competition through continuous learning.
III. Course Info
·Discrete Mathematics
·Data Structures and Algorithms
·Computer Operating Systems
·Principles and Applications of Databases
·Probability Theory and Mathematical Statistics
·Object-Oriented Programming
·Big Data Frameworks and Technologies
·Data Analysis and Mining Technologies
·Artificial Intelligence and Machine Learning
·Data Visualization Technologies and Applications
·Big Data Project Deployment and Management
Internet of Things Engineering Program
I. About the Program
This program is based on the disciplinary knowledge of Computer Science and Technology, Electronic Science and Technology, and Communication Engineering, with core focuses on sensing technology, communication technology, and IoT data processing technology. It cultivates students to master the basic theoretical knowledge of IoT systems, and equips them with problem analysis and solving abilities, as well as professional literacy in hardware-software design, development, and practical innovation. Graduates mainly engage in IoT system design and hardware-software development in IT-related industries and enterprises.
Following the engineering education professional certification standards, the program carries out professional co-construction with renowned enterprises, fully involving industry and enterprise experts in the talent training process. Supported by a tightly integrated in-school and off-campus practical environment, it adopts project-driven teaching with real enterprise cases, enabling students to develop strong engineering awareness, innovative thinking, engineering practice capabilities, and professional competencies. Aligned with the university's talent training orientation, the program closely integrates with industrial and medical fields, highlighting capabilities in IoT system design, IoT hardware development, and edge-cloud software development.
II. Training Objectives
This program cultivates builders and successors of socialist causes with good morality and cultural literacy, who consciously practice core socialist values and achieve all-round development in morality, intelligence, physique, aesthetics, and labor. Graduates will master the basic theories, professional knowledge, and skills of computers and the Internet of Things, be able to use cutting-edge technologies to solve complex engineering problems in the IoT field, possess excellent learning and practical abilities in IoT system design and hardware-software development, have innovative spirit and good comprehensive qualities, adapt to social development needs, and become innovative and application-oriented senior professionals engaged in system design and hardware-software development in the IoT field.
Within approximately 5 years after graduation, students should achieve the following goals:
1.Develop a sound personality and good scientific and cultural literacy, uphold professional ethics and a strong sense of social responsibility, practice core socialist values, and understand and fulfill responsibilities in the field of IoT engineering.
2.Demonstrate strong innovative awareness and broad professional vision, and possess the ability to apply professional knowledge, engineering techniques, and innovative methods to solve complex engineering and technical problems in IoT engineering-related fields in compliance with relevant regulations and technical standards.
3.Compete effectively in the field of IoT engineering and related areas, and be competent for high-tech research, product development and design, equipment production and maintenance, technical management, etc.
4.Cultivate international perspectives and communication skills to work in multidisciplinary and cross-cultural environments. Exhibit excellent teamwork spirit, serve as leaders or key members in teams, and communicate effectively.
5.Update knowledge through self-learning, enhance capabilities and technical proficiency, and adapt to social development and industry competition through continuous learning.
III. Course Info
·Discrete Mathematics
·Data Structures and Algorithms
·Computer Organization and Architecture
·Computer Operating Systems
·Computer Networks
·Principles and Applications of Databases
·IoT Sensing Technology
·IoT Communication Technology
·Embedded Systems
·Artificial Intelligence and Machine Learning
·IoT System Design
