| Week | Progress | Comments | |
|---|---|---|---|
| Week 1: Jan. 10, 12 | Introduction: overview of industry client and project topic. | Begin researching data set and goals of client. | |
| Week 2: Jan. 17, 19 | Background research on data set and anomaly detection literature. | You will present in groups on your initial findings. | |
| Week 3: Jan. 24, 26 | Meet the industry liason and select teams and projects. | Meeting with client is an opportunity to clarify the objectives/constraints of the project. | |
| Week 4: Jan 31, Feb. 2 | Precise formulation of problem statements. | Literature survey continues. | |
| Weeks 5-7: Feb. 7-23 | Preliminary work. | Avoid getting hung up on one single step of the problem. Look for compromises and heuristics that will allow you to move forward toward a workable preliminary algorithm. (Once you have preliminary results, you can later return to steps you'd like to improve.) | |
| Week 8: Feb. 28, March 2 | Detailed research proposal for final stage of research. | You should now have preliminary results including a simple baseline produced by the performance of a rudimentary algorithm. | |
| Week 9-12: March 14 - April 6 | Primary work. | Bi-weekly progress reports. Implement algorithms, and carry out proposed experiments for testing performance. | |
| Week 13: April 11, 13 | First draft of final report and (in class) presentation with slides. | ||
| Week 14: April 18, 20 | Second draft of final report and final presentation (to client). | ||
| May 1 | Final written report due. | You may consider submission to the FAU journal of undergraduate research. |