---
# System prepended metadata

title: Assignment AA202
tags: [HCMUT]

---

---
tags: HCMUT
---
Assignment AA202
===

## TODO
---
1. Cleaning and generate test data (label) (**Khanh Nguyen**)
```
• sv1 = {6, 5, 4}
• sv2 = {1, 7, 8}
```
- Group data for each class
- Remove duplicate data
- 2 options to encode score:
    - Each of columns is score for a week
    - Each of columns is score for a question
- **Define test case??**
2. Choose solve (**Nhut Nguyen**)
> Nhut Nguyen:
> All: Please let me know if you have other solver which is the best for us
> Easy to learn and use
> Community

    - glpk
        - pros:
            - free
            - Big community support
        - cons:
            - Using python to generate data following format support by glpk
    - cplex (IBM) using student email to download
        - pros:
            - rich feature support
        - cons:
            - Hard to find example
            - Has higher learning curve
    - Gurobi
3. write cplex/glpk model
- model 1 (**Nhut Nguyen**)
- model 2 (**Kenz, Minh Pham**)
4. Apply heristric algorithm (**ALL**)
- Is there any way to optimize? Any ideal, approach?

5. Write report

