I. Course Objectives

Centered on cultivating engineering talents with an international perspective and innovative thinking, this course closely aligns with the national demand for high-level engineering professionals and the overall training goals of UTSEUS. It aims to build an innovative project practice platform for undergraduate students. By introducing, optimizing and upgrading real cases from renowned domestic and foreign enterprises, a core project library suitable for engineering education is established, focusing on the development of innovative capabilities, hands-on practical skills and teamwork spirit. Students tackle project objectives in teams, accumulate confidence and experience in solving practical engineering problems through practical work, and lay a solid foundation for future career development and industrial innovation.

II. Course Features

(I) Project-Driven, Aligned with Industry Frontiers

The course selects several practical projects covering multiple fields, including cutting-edge directions such as the Internet of Things (IoT), artificial intelligence (AI) and intelligent device development. Among them, IoT-based projects like "Intelligent Fire Safety Management System" and "Battery Fire Early Warning System for Electric Bicycles" focus on the rigid demand for safety protection. Intelligent device projects such as "Design of Assisted Driving System for Electric Wheelchairs" and "Intelligent Corridor Access Response System" pay attention to the needs of special groups and the optimization of living scenarios. Technology application projects including "Automatic Editing of Medical Surgery Videos", "LDAR Digital Real-Time Audit" and "Application and Prospect Analysis of Artificial Intelligence in Schneider Electric's Intelligent Power Distribution System" closely follow the trend of industrial digital transformation, allowing students to face real technical pain points directly.

(II) University-Enterprise Collaboration, In-depth Resource Integration

The course constructs a three-dimensional university-enterprise cooperation model of "enterprise case introduction + enterprise mentor participation + on-site visit and learning". Enterprises not only provide real project topics but also send senior engineers to participate in teaching guidance, explaining technical standards and industry needs. In the autumn semester of 2024, students were organized to visit Schneider Electric's "Intelligent Power Distribution Laboratory", where they had close access to industry-leading equipment. Through special sharing sessions, they learned about the enterprise's innovation strategy and talent requirements. Enterprises also directly provide customized project topics, realizing seamless connection between teaching and industry needs.

(III) Innovative Model, Focus on Capability Implementation

The course adopts a teaching model of "4-5 person teams + 3 projects + defense and communication". Students complete 3 progressive projects each semester, with a defense session after each project to strengthen process evaluation. The score assessment takes into account both the overall project results and individual contributions of team members, ensuring fairness and participation. Covering multiple cutting-edge fields such as IoT, cloud computing and big data, the course integrates core technologies including sensor application, data transmission, elastic computing and data analysis. It builds a complete project architecture through standard interfaces, realizing the comprehensive application of multidisciplinary knowledge.

(IV) Wide Audience, Covering Multiple Cohorts of Students

The course has been successfully offered 7 times, with a total of 329 participants. It not only targets enrolled undergraduates but also attracts freshmen to participate in enterprise visits and project experiences. It forms a multi-level and wide-ranging teaching radiation effect, building a long-term platform for the cultivation of innovative talents in the college.

III. Teaching Achievements

(I) Significant Improvement in Practical Capabilities

By personally completing the entire process of sensor data collection, algorithm design, system development and interface optimization, students have proficiently mastered core skills such as Python programming, Arduino application and IoT platform operation. In the project "Automatic Editing of Medical Surgery Videos", students used image recognition algorithms and video editing technologies to realize automatic cropping of invalid content. In the "Assisted Driving System for Electric Wheelchairs" project, technical difficulties such as hazard prediction within 3 meters and automatic U-turn in narrow spaces were successfully overcome, effectively enhancing students' practical operation and engineering problem-solving abilities.

(II) Strengthened Innovative Thinking and Teamwork Capabilities

The team cooperation model enables students to improve their sense of teamwork through project division of labor, communication and coordination, and problem tackling. A total of more than 100 groups of high-quality project results have been formed through 7 course offerings, and some projects have demonstrated strong innovative value. For example, the "Intelligent Corridor Access Response System" designed a non-intrusive remote-control scheme to address the pain points of traditional access control. In the project "Application of Artificial Intelligence in Intelligent Power Distribution Systems", students explored technology implementation paths in combination with enterprise needs, effectively cultivating their innovative thinking and cross-border integration capabilities.

(III) Alignment of Industry Cognition and Professional Qualities

Through the study of enterprise cases, on-site visits and guidance from enterprise mentors, students have gained an in-depth understanding of cutting-edge industrial technologies, corporate innovation culture and talent demand standards, and clarified the gaps in their own capabilities and directions for improvement. Many students actively participated in innovation and entrepreneurship competitions and enterprise internships after the course, transforming what they learned into professional competitiveness and laying a solid foundation for becoming international innovative engineering talents.

(IV) Continuous Improvement of the Teaching System

Through 7 semesters of teaching practice, the course has continuously optimized the project library and teaching model, forming a closed-loop teaching system of "enterprise needs - course projects - capability cultivation - career output". The university-enterprise cooperation mechanism has become increasingly mature, not only injecting fresh industry resources into the course but also delivering several potential talents with practical capabilities and innovative awareness to enterprises, realizing two-way empowerment between teaching and industry.