Each student will be responsible for an 11 minute oral presentation of an algorithm or concept related to this course. The topic should be unique and not covered in class. A one paragraph abstract identifying the topic is due by the end of week 6. Presentations will be scheduled for weeks 9 and 10. Students are advised to take this assignment seriously as it is worth more than a lab grade. A typical student should plan to allocate 0.5-2 hours selecting a topic, 4 hours researching the topic, 4 hours developing a presentation, and 1 hour practicing.
| Student | Presentation Topic |
|---|---|
| Week 9, Lecture 1 | |
| J. S. | Persistent Data Structures |
| C. R. | Hashing |
| Week 9, Lecture 2 | |
| V. C. | Shading Algorithms |
| J. W. | Smoothsort |
| L. K. | Dataflow Analysis |
| Week 9, Lecture 3 | |
| D. W. | Hirschberg's Algorithm |
| M. A. | BK Trees |
| B. C. | Genetic Algorithms |
| Week 10, Lecture 1 | |
| A. H. | Floyd's Cycle Detection |
| M. E. | Teleporting Turtle |
| A. W. | Bible Code |
| Week 10, Lecture 2 | |
| N. D. | Prime Number Algorithms |
| J. E. | Knight's Tour |
| C. L. | AES |
| Week 10, Lecture 3 | |
| E. M. | Ant Colony Optimization |
| J. P. | Ricart-Agrawala Algorithm |
Students will be rated on a scale of 0 to 4 in the following categories:
The follow equation dictates the assignment grade: 68 + (A+B-6)*10 + (C-3)*3 + min(9,D*3)
In addition, a one point per minute penalty will be assessed for any presentation that is more than 2 minutes off of the target 11 minute length (not including questions).I am responsible for all content posted on these pages; MSOE is welcome to share these opinions but may not want to.