Capstone Project, Team Collaboration, Software Development Lifecycle, Computer Vision, AI Applications
As the culminating project of my undergraduate studies, this course guided me through the complete software development lifecycle—from requirement research and proposal writing to implementation, optimization, and testing. Using a rotational development model, I participated in three different project teams, each offering different perspectives and challenges, which sharpened my adaptability and team communication skills. The projects included real-world applications of computer vision and AI, such as an AI system analyzing handwriting grip posture and a visual-data hybrid tool for evaluating crop-land suitability. These experiences significantly enhanced my technical competence and practical application of AI and vision technologies.
Capstone Project: Pen Holding Posture Detection and Agricultural Recommendation System
Cutting-edge Technologies, Interdisciplinary Applications, Technology Trends
This seminar-style course explored several cutting-edge topics in computer science, such as edge computing, recommender systems, game design, artificial intelligence, robotics, and algorithmic optimization. Driven by discussion, case studies, and literature review, the course broadened my understanding of current technological developments and inspired deeper thinking on the application paths and real-world challenges of emerging tech. Although not focused on technical depth, it significantly expanded my knowledge horizon and awareness of future CS trends.
Capstone Project: Pen Holding Posture Detection and Agricultural Recommendation System
Numerical Analysis, Error Estimation, Numerical Methods, Computational Precision
This course offered a systematic introduction to the principles and methods of numerical analysis, covering interpolation, polynomial approximation, numerical integration and differentiation, solutions of linear systems, and root-finding for nonlinear equations. I learned how to handle mathematical problems under finite computational precision and mastered error estimation and algorithmic stability analysis. This course improved my ability to apply numerical techniques to engineering and scientific problems.