**Objective:**- Learn how to find relevant papers/articles.
- Understand other’s papers with your prior knowledge.
- Link your domain knowledge.

**Detailed descriptions****Length: Maximum of two pages****Font 12, single space, Times New Roman,**- Choose
**one**paper which uses one of the optimizations/linear programing/SVD/Bayes rule/regression in your field. - Summarize the papers: please use their overview figure, if possible, and summarize their methods and/or applications (maximum half page for each). (max ½ page)
- What method they used and show the relation between their method and the topics we learn. (max ½ page)
- Write your research proposal: based on the method in the paper and mathematical tool we learned, you will apply this to
, and write*a specific topic***why this topic is a good example to apply their methods**. (max 1 page)

**Detailed Rubric with contents you need to write:**- Introduction (3 parts)
- (10 points) A summary of the topic in the paper.
- (10 points) What is the goal of the paper?

- Introduction (3 parts)

- (10 points) What are the input and the output?

- Methodology (3 parts)
- (10 points) Which method did they use to get the successful output?
- (10 points) Which topics we learned in class is highly related to this method?

- (10 points) Based on their results, what can you infer/explain their result with our knowledge in class?

- Application (3 parts)
- (10 points) What topic is the specific topic you are interested in in your domain/field?
- (10 points) How to use this method to get some successful output in your specific topic?

- (10 points) Why this specific topic is a good example to apply their methods?

Write research proposal on the method in the paper and mathematical tool learned, apply this to a specific topic, and write why this topic is a good example to apply their methods