Instructions for premium learning materials and paid digital credits

1. Executive conclusion

AKBuy can present its existing credits as a simple, auditable system for obtaining premium digital learning materials:

1 Course Learning Material Credit
= 100 Course Material Points (CMP)
= 1 Premium Course Learning Material Pack

1 QA Material Credit
= 100 QA Material Points (QMP)
= 1 Premium QA Material Pack

For the target areas (Mathematical modeling, economic forecasting models, business data analysis models, stock, option, and futures price forecasting models, etc.):

A high-quality Course pack will provide a structured learning path, original explanations, worked calculations, reproducible modelling steps, practice tasks, and quality checks.

A high-quality QA pack should answer one clearly bounded analytical question with transparent assumptions, calculations, validation, and limitations.

**All material pack is educational material, not a trading signal, personalised investment advice, or a guarantee of future performance.

**All content in pack are proposed AKBuy-original products. They do not reproduce or adapt a university course. Please purchase with caution.

2. AKBuy product catalogue

2.1 Course Learning Material products

2.2 QA Material products

3. Definition of a high-quality Course Learning Material Pack

Depending on the subject, one Course pack may include:

• a primary PDF or HTML learning guide;
• an original worked-example workbook or notebook;
• a formula and terminology reference sheet;
• charts and model-diagnostic figures;
• practice questions with guided solutions;
• a bibliography and rights statement;
• a version number and correction date.

Examples:

• “Differential Equations for Dynamic Modelling” in one pack.
• “Econometric Forecasting” in one pack.
• “Business Data Analytics” inone pack.
• “Stock, Option and Futures Modelling” in one pack.

4. Definition of a high-quality QA Material Pack

Depending on the subject, one QA pack may include:

• estimating an AR(1) forecast from a supplied series;
• explaining how to calculate a Black–Scholes call value from supplied inputs;
• comparing MAE and RMSE for two models;
• diagnosing multicollinearity in one regression;
• constructing one linear-programming formulation;
• interpreting one classification confusion matrix.

Depending on the subject, multiple QA pack may include:

• several unrelated datasets;
• several independent target variables;
• a complete report plus a separate presentation and executable application;
• simultaneous economic forecasting, customer classification, and derivatives valuation;
• multiple questions that can each be delivered and accepted independently.

5. One-credit and multi-credit conversion tables

5.1 Course Learning Material Credit conversion

Multi-credit products do not require immediate redemption of every Credit. For example:

Purchase course-6                    +600 CMP
Redeem Pack A                        −100 CMP
Redeem Pack B                        −100 CMP
Remaining entitlement                400 CMP = 4 Course Credits

5.2 QA Material Credit conversion

Example of partial use:

Purchase quick-assignment-10         +1,000 QMP
Redeem three eligible QA packs       −300 QMP
Remaining entitlement                 700 QMP = 7 QA Credits