Instructor: Colin Grudzien
For the final project, you are to to write a term paper in mathematical typesetting software. You can use any software you prefer, but the report is required to be produced in a clean, easy-to-read document with the required document structure below. Figures should be captioned, with clear and easy-to-interpret labels and graphics. The final report must be uploaded in a PDF format to Webcampus. The report should be written in 12 point font, have 1.0 or 1.5 line-spacing and be approximately 5 - 10 pages long, not including references or the appendix of code in the page count.You are expected to use resources from outside of this course to investigate a topic of your choice and to summarize this topic according to the assignment objectives and rubric. The goal of the assignment will be to read at least one paper of your choice in order to discuss the role of data assimilation in the application, or to discuss the novelty of a technique demonstrated in the work and how it provides novel tools for estimation problems. Suggested topics are:
Your report needs to identify an example where this technique is used in a research or replication paper. Examples from blogs are acceptable for works referenced and may help with discussing code implementations, but you will need to draw your particular example from a scholarly source.
|Category||Expected results||Total points|
|Section 1: Introduction||Introduce your topic, the motivation of the work, and discuss how this work fits in within our framework of analysis.||10 points|
|Section 2: Discuss the primary reference||Discuss where the example is drawn from and what the purpose was of this example, e.g., what questions were the authors trying to answer. Discuss what analysis was performed in this example in the source and why this technique was relevant.||10 points|
|Section 3: Discuss how the problem relates to your own research||Provide a proposal on how to utilize these techniques in a novel context. Discuss how other techniques have already been utilized in the field and discuss why the research proposal may provide some advantage over existing work.||10 points|
|Section 4: Conclusions and looking forward||Reflect on the course themes and how this scholarly work fits into the context of data assimilation and estimation theory. Discuss in what ways this investigation could be pursued further given more time.||10 points|
|Section 5: Works cited||Required|
|Section 6: Appendix of Python code as necessary||Required|
|Grand total||All of the above||40/40 points|
The report must be submitted on Webcampus by 5:00 PM, Fiday, December 10th.