Neusoft Education relies on Neusoft's profound technological accumulation and industrial accumulation in the big data industry, closely integrates industrial resources and educational resources, formulates talent training plans, determines professional positioning, training goals and curriculum settings, and uses school-enterprise joint teaching and co-construction Through laboratories, internship training bases and other methods, we can realize the complementary advantages of educational resources and industrial resources, and cultivate high-quality talents with theoretical knowledge and skills related to big data to meet the society's demand for Internet of Things talents.
Objective and Feature
Industry-education integration to cultivate big data analysis and development application-oriented senior talents.
Based on Neusoft's industrial practice and educational accumulation, we build a teaching system, teaching content and teaching methods for big data talent cultivation integrating industry and education, and cultivate students who can use big data. Application-oriented senior talents who use technology to conduct big data analysis and development.
Comprehensive and in-depth study of big data professional knowledge and application practices
- In-depth study of big data courses covers theories and methods such as big data collection and processing, mining analysis, application development, data visualization, and big data decision-making.
- Accurately meet enterprise needs, covering mainstream technologies such as hadoop, spark, streaming computing, and python.
- The profound industrial accumulation has been condensed into real scenarios, real business data and rich practical projects such as transportation and health care.
Have the basics of database, Linux operating system, and Java software development, master the professional knowledge of big data and the data collection, data storage, data processing, data analysis and mining technology of mainstream models, and have the research and development capabilities for industrial projects.
Content
Curriculum system constructs
a school-enterprise co-construction OBE curriculum system, establishes talent training goals and requirements, and designs a professional curriculum system with "broad foundation, strong core, and emphasis on practice" based on the enterprise's job competency model. Combined with the professional positioning and characteristics of the school, the main courses and practical courses of data science and big data technology are set up by semester from the professional foundation, professional core, practical teaching, graduation project and other aspects, and the school and enterprises jointly formulate the integration of industry and education. Talent development plan.
School-enterprise cooperation model
Schools and enterprises reconstruct teaching plans according to the OBE concept and innovate the "2.5+1.5" talent training model. Enterprises participate in the entire teaching process, implement teaching plans in stages, embed enterprise courses and practical training, and improve professional qualities and skills.
The construction of teaching resources
takes professional construction as the core, selects core professional courses, and builds curriculum resources that combine theory and practice and are oriented to practical ability, covering curriculum standards, teaching plans and other diversified contents
Jointly build a practical teaching system
Both schools and enterprises give full play to their respective roles. With the advantages of industrial and educational resources, we will improve the construction of the practical teaching system of data science and big data technology, including laboratory construction, practical training base construction, practical teaching curriculum, etc., to provide students with sufficient practical opportunities and experimental conditions.
Innovation and entrepreneurship base construction
Schools and enterprises cooperate to build a mass entrepreneurship and innovation base, providing universal mass entrepreneurship and innovation courses, practice spaces, project case libraries, incubators and other resources, as well as management and big data platforms, to create a comprehensive mass entrepreneurship and innovation education service system.
The dual-qualified teacher training
relies on Neusoft's platform resource advantages in education, industry, and scientific research to develop a comprehensive teacher training system to improve teacher management, teaching and skill levels, and achieve accurate, efficient and high-quality development.
Typical Case
Jiangsu Normal University College of Science and Technology joins hands with Neusoft Education to create an innovative talent training model
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