Syllabus

15 weeks.

This is intended schedule and most likey will be chahged during the semester.

Week 1: Chapter 2. Linear regression.
Week 2: Chapter 3. Discretization of continuous inverse problems.
Week 3: Chapter 4. SVD decomposition and pseudoinverse.
Week 4: Chapter 4. Rank deficiency and ill-conditioning.
Week 5: Chapter 5. Tikhonov regularization.
Week 6: Chapter 5. Tikhonov regularization (cond).
Week 7: Chapter 6. Iterative methods.
Week 8: Chapter 7. Additional regularization techniques.
Week 9: Chapter 8. Fourier techniques.
Week 10: Chapter 9. Nonlinear regression.
Week 11: Chapter 10. Nonlinear inverse problems.
Week 12:
Week 13:
Week 14:
Week 15: