管理信息系统(26-27上学期)

課程類別阿伯丁数据科学与人工智能学院
This course introduces the basic concepts and applications of management information systems in modern organizations. It explains how businesses use information technology to improve efficiency, support decision-making, strengthen customer and supplier relationships, and gain competitive advantage. Students will study transaction processing systems, management information systems, decision support systems, enterprise systems, supply chain management, customer relationship management, and knowledge management. The course also covers digital business, collaboration, databases, networking, cybersecurity, and emerging technologies. Through cases and practical exercises, students will learn to identify business problems, evaluate information system solutions, and explain their benefits, risks, and organizational impact.

现代网络技术

課程類別阿伯丁数据科学与人工智能学院

Artificial Intelligence and Systems Science(2026)

課程類別阿伯丁数据科学与人工智能学院

This course is designed for the “AI and Embodied Interaction” micro-program. It systematically presents the core principles, design methods, and development processes of AI systems. By integrating the holistic thinking of systems science with cutting-edge AI technologies, the course aims to cultivate students’ engineering capabilities in developing AI applications from a complex systems perspective.

The course adopts a “theory teaching + project-driven” model. Through a semester-long team project, students are guided through the full-cycle practices of requirement analysis, system architecture design, and prototype implementation. The course emphasizes the integration of systems science thinking with engineering practice, focusing on developing students’ comprehensive abilities to define complex problems, design system architectures, and validate system performance through experimentation. This lays a solid foundation for future work in embodied AI, robotic interaction, and the development of complex AI systems.


Operating Systems

課程類別阿伯丁数据科学与人工智能学院

高等数学-26-Spring

課程類別阿伯丁数据科学与人工智能学院

2025-2026学年寒假实践活动项目

課程類別阿伯丁数据科学与人工智能学院

寒假已经来临,为了让同学们在假期中更好地充实自己,学院制定了一系列寒假实践活动方案,请同学们任选其中一项任务完成,作业提交截止时间为3月1日。

新学期开学后,各班长应在四周内组织新学期第一次班会暨寒假生活分享会,每位同学上台分享寒假活动心得(≥3分钟),提交作业并完成分享者即可获得8个非正式课程学时。


离散数学(25-26下学期)

課程類別阿伯丁数据科学与人工智能学院