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, and big data, Internet of Things and other technical directions.
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Feature and Advantage
• 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
Application scenario
• Teaching Cases
• Course experiments and course practice cases
• Case material for industry-education integration textbooks and school-based practical textbooks
Programming (C language), object-oriented (C++), data structure (Java), data structure (C language), website development (Web full-stack development), artificial intelligence (machine learning), big data (Hadoop technology) , big data (Scala language) and other relevant course in the training program introduction
Resource Instruction
Covering volunteer management systems, community group purchasing systems, scenic route planning, “happy weather” projects, taxi big data analysis, Weibo hit word data analysis, recommendation systems based on collaborative filtering algorithms and other case library resources. It can effectively cover smart city infrastructure, transportation operation, convenience applications and other scenarios. The course duration is 12-18 class hours, covering beginner, intermediate and advanced levels, and can be applied to teaching cases or practical teaching links from freshman to junior year. Moreover, it supports the design of teaching plans that can be broken down into different academic years to achieve the penetration and coherence of the project, which can effectively enhance students' interest in learning.
The resources cover deck, source code, and teaching video, and schools can directly apply them in teaching, with low learning costs.
Practical level comprehensive project
Application scenario
• Comprehensive practice and project training case
• Supporting engineering education professional certification indicators
• Supporting conformity assessment/assessment indicators
Software technology, embedded technology, artificial intelligence, big data and other mainstream and popular courses
It covers mobile Internet online ordering system, Neusoft passenger car big data analysis, mobile Internet online mall system, Neusoft face entry and recognition system, etc. Industrial-level project case resources adopt enterprise-level technical architecture to realize the ability development and training of the entire software engineering process, cultivate students' complete development thinking, and effectively improve students' engineering practice capabilities.
Mobile Internet online food ordering system : enables the seamless user journey of browsing merchants and video lists, making food purchases, managing delivery addresses, and generating orders within the business flow, comprises 5 sub-projects aligned with distinct instructional stages
Mobile Internet online mall system : implements the business flow of displaying product lists, presenting product details, adding items to the shopping cart, and generating orders in the mall. Neusoft passenger car big data analysis: enables comprehensive analysis of passenger car sales and management within a specific city, effectively addressing the challenges associated with car sales and management in that particular urban area.
Project cases provide detailed project teaching resources, including practical task sheets, project instructions, practice manuals/project courseware, source code, data, software installation packages, project operation manuals, complete project videos, etc.
Multidisciplinary project
Application scenario
• Education and teaching reform project
• Competition training
• Focusing on software technology, integrating embedded/artificial intelligence/big data technology to achieve the intersection of multiple disciplines
• Integrated design of software and hardware to carry out comprehensive ability training and multi-dimensional ability building, and cultivate 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.
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