Computational Linear Algebra

Review of Matrices (Content, Practice sheet)

• Week-1 (Content, Worksheet, Worksheet sol)

• Week-2 (Content, Worksheet, Worksheet sol)

• Week-3 (Content, Worksheet-1, Worksheet-1 sol, Worksheet-2, Worksheet-2 sol)

• Week-4 (Content, Worksheet, Worksheet sol)

• Week-6 (Content)

• Week-10 (Content, Worksheet-1, Worksheet-2)

• Week-13 (Content, Worksheet)

• Mid-Sem (here)

• End-Sem (here)

• Quiz 1 (L1: here, L2: here)

• Quiz 2 (L1: here, L2: here)

• Vivas (Week 5, Week-7, Week-8, Week-9, Week-11, Week-12) 

AI-friendly assessments:

• Computational assessment—L1: Democratic communities (here)

  • Python solution (here)

• Computational assessment—L2: Cryptography (here)

  • Python solution (here)

• Phenomenology assessment L1: Video (here), response questionnaire (here)

• Phenomenology assessment L2: Video (here), response questionnaire (here)

• Worksheet-1: Vector spaces (here)

• Worksheet-2: Linearly independent and dependent vectors, Basis (here)

• Worksheet-3: Solved examples on RREF (here)

• Worksheet-4: Pivots, RREF form (here)

• Worksheet-5: Solving system of equations using Gauss-Jordan elimination (here)

• Worksheet-6: Linear transformation and its matrix representation (here)

• Worksheet-7: Linear transformation and its eigenvalues and eigenvectors (here)

• Worksheet-8: Diagonalizability of matrices (here)

• Worksheet-9: Dominant eigenvector, Power method, Orthogonal projection (here)

• Worksheet-10: Orthonormal basis and Gram-Schmidt orthonormalization process (here)

• Practice problems from the textbook up to mid-sem (here)

• Practice problems from the textbook post mid-sem (here)