Assess graduate students' ability to apply model compression techniques—quantization, pruning, and knowledge distillation—to prepare neural networks for edge deployment. The quiz will require selecting and justifying appropriate compression strategies for specific resource-constrained scenarios, estimating effects on accuracy, latency, memory, and energy, designing evaluation metrics and validation experiments, and outlining hardware-aware implementation and toolchain choices.