The industrial project case library includes real project cases, adopts enterprise-level technical architecture, and has been dismantled and designed in a pedagogical manner to form practical teaching resources that can be applied to practical teaching in colleges and universities. The cases cover software engineering, artificial intelligence, big data, Internet of Things and other technical directions.
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Features and Advantages
• Derived from authentic enterprise projects, featuring genuine business scenarios and thoroughly validated through practical application, it possesses enhanced practical value.
• The rapid iteration of case resources is fully integrated with the development of the Internet industry, while leveraging cutting-edge technical architecture and development tools to ensure a forward-looking approach.
• The training objectives, core knowledge points, and teaching plans of the course are fully aligned to ensure a seamless integration of education and industry, enhancing its practicality.
• The adoption of hierarchical design principles enables comprehensive coverage across various grade levels and application scenarios, enhancing its applicability.
Suitable People
University students in computer-related majors
Course-level lightweight project case
• Teaching Cases
• Course experiments and course practice cases
• Case material for industry-education integration textbooks and school-based practical textbooks
Programming (Java), programming (Python), database design (MySQL), website development (Web front-end development), website development (framework development), artificial intelligence (machine learning), big data (Hive data warehouse), embedded Linux systems and applications and other talent training programs
The course covers a range of enterprise management systems including attendance, address book, and power user management. It also includes practical database design for food traceability system, agricultural data analysis visualization platform, Hive enterprise patent analysis system, and WeChat system. The duration of the course ranges from 12 to 48 hours and is suitable for beginner, intermediate, and advanced levels. It can be used in teaching cases or practical sessions from freshman to junior year. Additionally, it supports the design of teaching plans that can be divided into different academic years to ensure project penetration and coherence while effectively enhancing students' interest in learning.
The resources provided include presentation slides, source code examples, and instructional videos which schools can directly utilize at low learning costs.
Practical level comprehensive project
• Comprehensive practice and project training case
• Supporting engineering education professional certification indicators
• Supporting conformity assessment/assessment indicators
Software technology, embedded, artificial intelligence, big data and other mainstream and popular courses
It encompasses Neusoft's environmental protection public supervision system, financial risk control big data analysis, electric vehicle charging pile intelligent management system, production safety detection system, and telecom big data analysis among other industry-level project case resources. It adopts an enterprise-level technical architecture to achieve comprehensive capability development and training in software engineering, fostering students' holistic thinking and effectively enhancing their engineering practice capabilities.
Neusoft Environmental Protection Public Supervision System
It facilitates a comprehensive business process where public supervisors submit information, grid members conduct on-site inspections, and the system generates statistical reports and visually displays field inspection data.
Utilizing big data technology and risk models, we employ analysis and prediction techniques to provide decision support and risk warnings for financial services such as lending and credit assessment.
The platform offers a range of services for electric vehicle users, encompassing features such as locating nearby charging stations, accessing information on charging piles, facilitating online charging, providing order inquiries, managing personal accounts and other related functionalities.
The system realizes several core functions related to safety production detection, including helmet detection, reflective clothing detection, and oil leakage detection. It provides algorithmic support for security monitoring in the production environment, thereby enhancing the overall safety of the workplace.
The integration of data collection, processing, storage, and visualization enables operators to achieve process monitoring of operational indicators such as offline call volumes, abnormal call numbers, and service code types.
The project cases offer comprehensive project teaching resources, encompassing practical task sheets, detailed project instructions, practice manuals/project courseware, source code, data sets, software installation packages, project operation manuals, and complete project videos.
Multidisciplinary project
Application scenario
• Education and teaching reform project
• Competition training items
• The focus lies on software technology, integrating embedded/artificial intelligence/big data technology to achieve the convergence of multiple disciplines.
• The integrated design of software and hardware enables comprehensive ability training and multi-dimensional skill development, fostering the cultivation of compound senior talents.
• Software development technologies: HTML/CSS, JavaScript, Vue framework, Axios framework, SpringBoot framework, MyBatis framework and other mainstream technologies
• Internet of Things development technology: microcontroller technology, sensor technology, embedded development technology, Internet of Things communication technology, etc.
• Artificial intelligence development technology: commonly used machine learning algorithms, deep learning algorithms, data analysis and mining, machine vision technology, natural language processing technology, etc.
• Big data development technology: data collection technology, data storage technology, distributed data computing technology, big data visualization technology, etc.
For more project case resources, please log in to "Neusoft IT Cloud School (https://study.neutech.cn)".
