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University of Florida
Department of Electrical and Computer Engineering
This is a 3-credit course.
The objective of this course is to impart a working knowledge of several important and widely used pattern recognition topics to the students through a mixture of motivational applications and theory.
Dr. Dapeng Wu
Office: NEB 431
Email: wu@ece.ufl.edu
Kairan Sun
Email: ksun@ufl.edu
Monday, Wednesday, Friday, period 8 (3 pm - 3:50 pm)
NEB 201
The course consists of lectures, 4 homework assignments, and 1 project.
This course is primarily a lecture course. I cover all important material in lectures. Since EEL 3135 and EEL 4516 are prerequisites, I assume some previous knowledge about DSP, probability theory and stochastic processes, and hence I will cover some material very quickly. Thus, depending on what and how much you recall from earlier study, varying amounts of reading in introductory books on DSP, probability theory and stochastic processes (other than the course textbook) may be necessary; these readings are up to the student. I will only give reading assignments from the course textbook.
Attending lecture is quite important as I may cover material not available in any book easily accessible to you. I use Powerpoint presentation during lecture. Lecture notes will be posted on the course website before the class. The lecture is to engage the students in independent thinking, critical thinking, and creative thinking, help the students organize the knowledge around essential concepts and fundamental principles, and develop conditionalized knowledge which tells them when, where and why a certain method is applicable to solving the problem they encounter.
I do not intend for the WWW material to be a substitute for attending lecture since engaging the students in active thinking, making logical connections between the old knowledge and the new knowledge, and providing insights are the objectives of my lecture. The lecture notes are posted on the web so that you can miss an occasional lecture and still catch up, and it makes taking notes easier. To reward those who attend regularly, there will be some lecture-based material in the exam which is not available via the web.
The class project is described here.
Upon the completion of the course, the student should be able to
Please find handouts here.
All students admitted to the University of Florida have signed a statement of academic honesty committing them to be honest in all academic work and understanding that failure to comply with this commitment will result in disciplinary action. This statement is a reminder to uphold your obligation as a student at the University of Florida, and to be honest in all work submitted and exams taken in this class and all others. Refer to the academic honor code for more information.
Students are encouraged to discuss class material in order to better understand concepts. All homework answers must be the author's own work. However, students are encouraged to discuss homework to promote better understanding. What this means in practice is that students are welcome to discuss problems and solution approaches, and in fact can communally work solutions at a board. However, the material handed in must be prepared starting with a clean sheet of paper (and the author's recollection of any solution session), but not refer to any written notes or existing code from other students during the writing of the solution. In other words, writing the homework report shall be an exercise in demonstrating the student understands the materials on his/her own, whether or not help was provided in attaining that understanding.
UF Counseling Services –Resources are available on-campus for students having personal problems or lacking clear career and academic goals. The resources include:
· UF Counseling & Wellness Center, 3190 Radio Rd, 392-1575, psychological and psychiatric services.
· Career Resource Center, Reitz Union, 392-1601, career and job search services.
For university counseling services and mental health services, please visit http://www.counsel.ufl.edu/.
In order to graduate, graduate students must have an overall GPA and an upper-division GPA of 3.0 or better (B or better). Note: a B- average is equivalent to a GPA of 2.67, and therefore, it does not satisfy this graduation requirement. For more information on grades and grading policies, please visit: http://www.registrar.ufl.edu/catalog/policies/regulationgrades.html
| Grades | Percentage | Dates |
|---|---|---|
| Homework | 30% | see calendar |
| Project proposal | 10% | 4pm, March 14 |
| Project report | 60% | 4pm, April 30 |
Top 25% students will receive A. Average score will be at least B+.
The class project will be done individually (that is, teaming with other students is not allowed). Each project requires a proposal and a final report. The final report is expected to be in the format of a conference paper plus computer programs, a Powerpoint file, and a video. On March 14, the project proposal (up to 2 pages) is due. On April 30, the final report (up to 10 pages) is due. For details about the project, please read here.
Suggested topics for projects are listed here.
Course calendar can be found here.
Useful links
Software:
Elsevier
IEEE