Introduction | Diversity-Based Assignment | Dataset 001 (diversity only) | Dataset 001 (skills only) | Dataset 003 | Dataset 004 | Preference-Based Assignment | Dataset 002 | PhD Workload Assignment | Dataset 001(Year-long) | Dataset 001 (Single-semester)

Introduction | Balancing staff workload and student preferences | OptAssign | Students to elective courses | Assigning students to groups based on traits | Student-to-project supervisor assignment | Automated group assignments in academic setting | Introducing grouper package | References

Model introduction | Objective function | Constraints | Demand satisfaction | TA spread among non-Year-1 students | Annual workload equality | Year-1 TA soft upper bound | Optional current-semester workload bounds

Model introduction | Objective function | Constraints | Group to topic-repetition combination | Defining $z_{ijtr}$ | Number of repetitions per topic | Number of students per group | Per-group skill levels | Binary and non-negativity constraints

Model introduction | Objective function | Constraints | Group to topic-repetition combination | Number of repetitions per topic | Balanced number of subgroups | Number of students per subgroup | Binary and non-negativity constraints