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Case in Smart City

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.


The smart city industry case library is a project resource that deeply integrates information technology and urban development, covering new smart city construction, smart application construction, public services and management systems, intelligent transportation, etc.

You can log in to "Neusoft IT Cloud School (https://study.neutech.cn)” for details.

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


Covering course
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
This curriculum encompasses various topics including volunteer management systems, community group purchasing systems, scenic route planning for smart cities as well as innovative projects such as 'happy weather', taxi big data analysis along with Weibo hit word data analysis. It also includes recommendation systems based on collaborative filtering algorithms among other case library resources. This comprehensive curriculum caters to a wide range of scenarios including smart city infrastructure development, efficient transportation operations as well as convenient applications. With a duration of 12-18 class hours spanning beginner to advanced levels; this curriculum is suitable for both theoretical instruction or practical application throughout the freshman to junior years. Furthermore,it facilitates flexible lesson planning across multiple academic years ensuring seamless integration while significantly enhancing student engagement through its captivating content delivery approach.

The resources encompass courseware, source code, and instructional videos, enabling schools to seamlessly integrate them into their teaching practices while minimizing learning expenses.



Practical level comprehensive project

Application scenario
• Comprehensive practice and project training case 
• Supporting engineering education professional certification indicators

• Supporting conformity assessment/assessment indicators


Covering technical directions

Software technology, embedded technology, artificial intelligence, big data and other mainstream and popular courses


Resource introduction

It encompasses a range of industrial-level project case resources, including mobile Internet online ordering system, Neusoft passenger car big data analysis, mobile Internet online mall system, and Neusoft face entry and recognition system. These resources adopt an enterprise-level technical architecture to facilitate the development and training of the entire software engineering process. This approach fosters students' holistic thinking and effectively enhances their practical capabilities in engineering.


Typical cases introduce
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.

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


Program feature
• 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
Covering mainstream technologies
• 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 library resources, please log in to "Neusoft IT Cloud School (https://study.neutech.cn)”.