layout: page title: Assessment permalink: /assessment/ —
Overview
This module uses 8 assessment components totalling 100%.
Components
| ID | Title | Type | Mode | Weight | Due Week | Delivery |
|---|---|---|---|---|---|---|
| Q1 | In-Class Quiz 1: Probability and Entropy Foundations | in-class-quiz | summative | 10% | 2 | in-class |
| W1 | Worksheet 1: Socratic Dialogue on the History of Entropy | mini-project | summative | 15% | 2 | take-home |
| Q2 | In-Class Quiz 2: Ensemble, Helmholtz, Shannon H and Boltzmann S | in-class-quiz | summative | 10% | 4 | in-class |
| W2 | Worksheet 2: Socratic Dialogue on Shannon H and Boltzmann S | mini-project | summative | 15% | 4 | take-home |
| Q3 | In-Class Quiz 3: Grouping, Maxwell’s Demon, and MaxEnt | in-class-quiz | summative | 10% | 6 | in-class |
| W3 | Worksheet 3: Socratic Dialogue on Coarse-Graining Maxwell | mini-project | summative | 15% | 6 | take-home |
| Q4 | In-Class Quiz 4: Multi-Information, I+H=C, Von Neumann Entropy, Limits on Intelligence | in-class-quiz | summative | 10% | 8 | in-class |
| W4 | Worksheet 4: Multi-Information, Von Neumann Entropy, and Limits on Intelligence | mini-project | summative | 15% | 8 | take-home |
Component Details
Q1: In-Class Quiz 1: Probability and Entropy Foundations
Type: in-class-quiz | Weight: 10% | Due week: 2 | Delivery: in-class Estimated workload: 0.2h AI robustness: Invigilated in-class test on Moodle. Random draw from a large bank reduces repeatability. No external resources.
W1: Worksheet 1: Socratic Dialogue on the History of Entropy
Type: mini-project | Weight: 15% | Due week: 2 | Delivery: take-home Estimated workload: 3.0h AI robustness: Students must pose curiosity and skepticism prompts as Socrates in exactly ten turns from one continuous conversation with a single LLM (model name and version declared); planning may use any tools, but only the final exchange is submitted. The reflection is handwritten on a scanned proforma. Authenticity is further verified by the paired in-class Quiz 1 (Week 2).
Q2: In-Class Quiz 2: Ensemble, Helmholtz, Shannon H and Boltzmann S
Type: in-class-quiz | Weight: 10% | Due week: 4 | Delivery: in-class Estimated workload: 0.2h AI robustness: Invigilated in-class paper test. No external resources. This sitting is paper (as Quiz 1); the yaml bank is not this sitting.
W2: Worksheet 2: Socratic Dialogue on Shannon H and Boltzmann S
Type: mini-project | Weight: 15% | Due week: 4 | Delivery: take-home Estimated workload: 3.0h AI robustness: Students must pose curiosity and skepticism prompts as Socrates in exactly ten turns from one continuous conversation with a single LLM (model name and version declared); planning may use any tools, but only the final exchange is submitted. The reflection is handwritten on a scanned proforma. Related material is checked under invigilated Quiz 2 (Week 4).
Q3: In-Class Quiz 3: Grouping, Maxwell’s Demon, and MaxEnt
Type: in-class-quiz | Weight: 10% | Due week: 6 | Delivery: in-class Estimated workload: 0.2h AI robustness: Invigilated in-class test on Moodle. No external resources. This sitting covers Weeks 4–5 as delivered; the yaml bank path is leftover Moodle scaffolding and is not this sitting.
W3: Worksheet 3: Socratic Dialogue on Coarse-Graining Maxwell
Type: mini-project | Weight: 15% | Due week: 6 | Delivery: take-home Estimated workload: 3.0h AI robustness: Students must pose curiosity and skepticism prompts as Socrates in exactly ten turns from one continuous conversation with a single LLM (model name and version declared); planning may use any tools, but only the final exchange is submitted. The reflection is handwritten on a scanned proforma.
Q4: In-Class Quiz 4: Multi-Information, I+H=C, Von Neumann Entropy, Limits on Intelligence
Type: in-class-quiz | Weight: 10% | Due week: 8 | Delivery: in-class Estimated workload: 0.2h AI robustness: Invigilated in-class test on Moodle. Random draw from a large bank. No external resources.
W4: Worksheet 4: Multi-Information, Von Neumann Entropy, and Limits on Intelligence
Type: mini-project | Weight: 15% | Due week: 8 | Delivery: take-home Estimated workload: 3.0h AI robustness: LLMs permitted. Authenticity verified by in-class Quiz 4 (Week 8), applying multi-information and the perpetual motion analogy to a new example under invigilated conditions.