1. Introduction

2. The Weak Lensing 2-Point Likelihood
2.1. Observables
2.2. Degeneracies
2.3. Limber Approximation
2.4. Biases and Correlations
2.5. The Two-Point Statistics
2.6. Likelihood and Fisher matrix
2.7. Parameter Inventory

3. Spectroscopic Redshift Likelihood

4. An Implementation

5. Power Spectrum Models
5.1. Central Model
5.2. Model Errors

6. Non-parametric nuisance modeling
6.1. General comments on nuisance functions
6.2. Redshift Distributions
6.3. Shear calibration and magnification bias
6.4. Galaxy correlation coefficients
6.5. Galaxy bias
6.6. Intrinsic Alignments
6.7. Cross-correlation coefficients
6.8. An apology

7. Tuning the forecast parameters
7.1. Multipole bin size
7.2. Multipole range
7.3. Scale resolution for nuisance functions
7.4. Redshift resolution for nuisance functions

8. Conclusion