Focus on teaching the mechanisms of artificial intelligence algorithms, cultivate students' awareness of independent AI learning at the current stage, equip students with a solid theoretical foundation in artificial intelligence and the ability to solve practical problems with relevant methodologies, and lay a foundational knowledge of AI algorithms for their major studies.
- Mathematical Algorithm in AI Introduction
- Chapter 1 What is an Ill-posed Inverse Problem Overview and Electrical Engineering Motivation
1.1 What is an Ill-posed Inverse Problem Overview and Electrical Engineering Motivation（Ⅰ）
1.2 What is an Ill-posed Inverse Problem Overview and Electrical Engineering Motivation（Ⅱ）
1.3 What is an Ill-posed Inverse Problem Overview and Electrical Engineering Motivation（Ⅲ）
- Chapter 2 Linear Integral Equations of the First Kind Fredholm and Volterra Theory
2.1 Linear Integral Equations of the First Kind Fredholm and Volterra Theory（Ⅰ）
2.2 Linear Integral Equations of the First Kind Fredholm and Volterra Theory（Ⅱ）
2.3 Linear Integral Equations of the First Kind Fredholm and Volterra Theory（Ⅲ）
2.4 Linear Integral Equations of the First Kind Fredholm and Volterra Theory（Ⅳ）
- Chapter 3 Functional Analysis Tools Norms, Inner Products, Compact Operators, and Delta Functions
3.1 Functional Analysis Tools Norms, Inner Products, Compact Operators, and Delta Functions（Ⅰ）
3.2 Functional Analysis Tools Norms, Inner Products, Compact Operators, and Delta Functions（Ⅱ）
3.3 Functional Analysis Tools Norms, Inner Products, Compact Operators, and Delta Functions（Ⅲ）
- Chapter 4 Frequency Domain Methods for Inverse Problems in DSP
4.1 Frequency Domain Methods for Inverse Problems in DSP（Ⅰ）
4.2 Frequency Domain Methods for Inverse Problems in DSP（Ⅱ）
4.3 Frequency Domain Methods for Inverse Problems in DSP（Ⅲ）
4.4 Frequency Domain Methods for Inverse Problems in DSP（Ⅳ）
- Chapter 5 Professor Speech Script
5.1 Professor Speech Script（Ⅰ）
5.2 Professor Speech Script（Ⅱ）
5.3 Professor Speech Script（Ⅲ）
5.4 Professor Speech Script（Ⅳ）
5.5 Professor Speech Script（Ⅴ）
- Chapter 6 Forecasting as an Inverse Problem Why It Is Ill-Posed
6.1 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅰ）
6.2 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅱ）
6.3 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅲ）
6.4 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅳ）
6.5 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅴ）
6.6 Forecasting as an Inverse Problem Why It Is Ill-Posed（Ⅵ）
- Chapter 7 Stable Forecasting in Practice Case Studies from Power and EnergySystems
7.1 Stable Forecasting in Practice Case Studies from Power and EnergySystems（Ⅰ）
7.2 Stable Forecasting in Practice Case Studies from Power and EnergySystems（Ⅱ）
7.3 Stable Forecasting in Practice Case Studies from Power and EnergySystems（Ⅲ）
- Chapter 8 Inverse Problems for Energy Community Mathematical Modeling
8.1 Inverse Problems for Energy Community Mathematical Modeling（Ⅰ）
8.2 Inverse Problems for Energy Community Mathematical Modeling（Ⅱ）
8.3 Inverse Problems for Energy Community Mathematical Modeling（Ⅲ）
- Chapter 9 Robust Numerical Methods for BoundaryValue Problems
9.1 Robust Numerical Methods for BoundaryValue Problems（Ⅰ）
9.2 Robust Numerical Methods for BoundaryValue Problems（Ⅱ）
- Final Examination
