This paper contributes to Scholarship of Teaching and Learning by proposing a dynamic model to support subject design for Computer Science during the current Coronavirus pandemic. The proposed G-READY model borrows from the greedy algorithm, which can support quick and efficient transition of subject teaching from F2f to online mode and vice versa in the most economical and time efficient manner. This model aims to deliver adaptable, optimized learning experience to students within shortest possible time frame. The paper also offers a support repository of learning and teaching tools that can help the faculty with designing their subjects with minimal effort spent on exploration for resources. This open source repository is aimed to bring efficiency to the process of curating effective learning and teaching resources for computer science teaching and can be extended further. The G-READY model proposes a learning design that is insightful, reflective, dynamic and learning supportive
