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This paper presents a case study for integrating applied research into a graduate level course in biometrics. The biometrics course at Purdue University has a diverse range of students, with majors varying from Computer Science, Computer and Information Technology, Industrial Technology, and Information Security. Therefore, the knowledge that students bring to the class, with respect to statistical knowledge, etc varies tremendously. Many times the students are senior undergraduates or first year graduate students, and they have not been exposed much to research activities. The challenge for the instructors is to incorporate applied research principles, wrapped around the concepts of biometric technologies and modalities that students can then use in their respective disciplines, and at the same time have a greater understanding of biometrics and their use within their majors. Biometrics is defined as automated recognition of humans using physiological or behavioral characteristics. The field of biometrics has received increasing attention in the last decade which has led to engineering courses integrating biometrics into their respective curricula. Biometric technologies are still in developmental stages, and courses teaching biometric technologies have to be cognizant of its dynamic nature. The goal of this course is to provide these students with an avenue to become involved in the research activities of the lab.