1. Vectors and vector spaces - 2. Matrix algebra - 3. Systems of linear equations - 4. Matrix vectorization - 5. Vector and matrix differentiation - 6. DE Lag operators GLSEM and time series - 7. Mathematical underpinnings of probability theory - 8. Foundations of probability - 9. LLN, CLT and ergodicity - 10. The general linear model - 11. Panel data models - 12. GLSEM and TS models - 13. Asymptotic expansions
