Hey everyone, I’m really intrigued by this thread on how to best allocate course credits to meet requirements! It seems like there’s a fine balance between ensuring that each module only counts once while also avoiding any conflicts across different modules. Has anyone considered looking into ways of adjusting the allocation dynamically based on student performance or even future module dependencies? I’m curious about your thoughts on whether a more flexible, perhaps even weighted system might make sense here. How could we design our algorithm so that it not only prevents overlap but also adapts to changes in how students select modules over time? I’d love to hear more insights or real-world experiences you all have encountered with similar challenges!
I have encountered a similar challenge in a course scheduling system I worked on, and I found that implementing dynamic checks during credit allocation can prevent overlaps effectively. A practical approach is to introduce a verification step that restricts any module’s credit assignment once it has been applied, even if recognized by multiple requirements. Additionally, allowing real-time adjustments based on student performance or changes in course prerequisites might be beneficial. This strategy was useful in creating a flexible system that addresses both the need for fixed requirements and the inherent variability in course selections.
i reckon a dynamic flagging system that marks credits once used could work well. maybe allow a quick reassign if new options come up to avoid conflicts. sounds a bit messy but can be made flexible