Syllabus

University of Florida

Department of Electrical and Computer Engineering

EEL 6825, Section 026A 

Pattern Recognition and Intelligent Systems

Spring 2020


Course Description

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. 

Course Prerequisites

Required Textbook

Recommended Readings

Instructor:

Dr. Dapeng Wu
Office: NEB 431
Email: wu@ece.ufl.edu

TA:

1) Heng Qiao
Email: hengqiao@ufl.edu

2) Haotian Jiang
Email: haotian.jiang@ufl.edu

3) Xiyao Ma
Email: maxiy@ufl.edu

4) Tong Shao
Email: stlm1991@ufl.edu

Course website:     http://www.wu.ece.ufl.edu/courses/eel6825s20

Meeting Time

Monday, Wednesday, Friday, period 8 (3:00 pm - 3:50 pm)    

Meeting Room

NEB 100

Office Hours

Structure of the Course

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.

Course Outline

Course Objectives

Upon the completion of the course, the student should be able to

Handouts

Please find handouts here.

Course Policies


Course Evaluation


Students are expected to provide feedback on the quality of instruction in this course by completing online evaluations at https://evaluations.ufl.edu/evals. Evaluations are typically open during the last two or three weeks of the semester, but students will be given specific times when they are open. Summary results of these assessments are available to students at https://evaluations.ufl.edu/results/.

Software Use

All faculty, staff, and students of the University are required and expected to obey the laws and legal agreements governing software use. Failure to do so can lead to monetary damages and/or criminal penalties for the individual violator. Because such violations are also against University policies and rules, disciplinary action will be taken as appropriate. We, the members of the University of Florida community, pledge to uphold ourselves and our peers to the highest standards of honesty and integrity.

Student Privacy

There are federal laws protecting your privacy with regards to grades earned in courses and on individual assignments. For more information, please see: http://registrar.ufl.edu/catalog0910/policies/regulationferpa.html

Campus Resources:

Health and Wellness

U Matter, We Care:

If you or a friend is in distress, please contact umatter@ufl.edu or 352 392-1575 so that a team member can reach out to the student.

Counseling and Wellness Center: http://www.counseling.ufl.edu/cwc, and  392-1575; and the University Police Department: 392-1111 or 9-1-1 for emergencies.

Sexual Assault Recovery Services (SARS)

Student Health Care Center, 392-1161.

University Police Department at 392-1111 (or 9-1-1 for emergencies), or http://www.police.ufl.edu/.

Academic Resources

E-learning technical support, 352-392-4357 (select option 2) or e-mail to Learning-support@ufl.edu. https://lss.at.ufl.edu/help.shtml.

Career Resource Center, Reitz Union, 392-1601.  Career assistance and counseling. https://www.crc.ufl.edu/.

Library Support, http://cms.uflib.ufl.edu/ask. Various ways to receive assistance with respect to using the libraries or finding resources.

Teaching Center, Broward Hall, 392-2010 or 392-6420. General study skills and tutoring. https://teachingcenter.ufl.edu/.

Writing Studio, 302 Tigert Hall, 846-1138. Help brainstorming, formatting, and writing papers. https://writing.ufl.edu/writing-studio/.

Student Complaints Campus: https://www.dso.ufl.edu/documents/UF_Complaints_policy.pdf.

On-Line Students Complaints: http://www.distance.ufl.edu/student-complaint-process.

Grading:

Grades Percentage Dates
Homework 30% see calendar
Project proposal 10% 4pm, March 13
Project report 60% 4pm, April 29

The project report consists of

  1. (50%) A written report for your project
  2. (25%) Computer programs that you develop for your project
  3. (10%) Powerpoint file of your presentation
  4. (15%) Your presentation/demo video on YouTube

Grading scale:

Top 25% students will receive A. Average score will be at least B+.

More information on UF grading policy may be found at: https://catalog.ufl.edu/ugrad/current/regulations/info/grades.aspx

Homework:

Class Project:

The class project will be done individually.   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 13, the project proposal (up to 2 pages) is due.  On April 29, 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:


JOURNALS

Elsevier


IEEE


Computer Vision


Public Domain Image Databases

CMU Database