CS401 Fall Semester

Introduction to AI

Course Analytics & Insights Dashboard. Monitoring student comprehension and content alignment.

donut_large Material Gap Analysis

Syllabus vs. Grounded Corpus

Neural Networks Basics 92% Covered

High Corpus Alignment

Reinforcement Learning 45% Covered

warning Gap Detected: Corpus has 40% more depth

Search Algorithms (A*) 100% Covered

Ethical AI Frameworks 20% Covered

warning Gap Detected: Missing crucial citations

grid_view Misconception Analytics

Backpropagation Calculus

68% Error Rate

Markov Decision Processes

42% Error Rate

Support Vector Machines

15% Error Rate

Decision Trees

5% Error Rate

psychology Question Bank Curation

AI-drafted exam questions targeting high-error rate topics (Backpropagation & MDPs).

Hard Backpropagation

Explain the vanishing gradient problem in deep feedforward neural networks. Provide a mathematical justification using the chain rule and suggest two architectural modifications to mitigate it.

Medium MDPs

Given a grid world environment with a terminal state, compare and contrast Value Iteration and Policy Iteration. Under what specific conditions might one converge faster than the other?