The graduate level Information Assurance and Biometrics Certificate Program at West Virginia University (WVU) provides a student-centered learning environment to educate and train professionals to meet the changing needs of the industry, government, and academia in West Virginia and the nation.
The graduate level Information Assurance and Biometrics Certificate Program offered at WVU provides a broad overview of the information assurance and biometrics field and addresses relative and recent advances and current research issues. It is interdisciplinary in nature and covers many educational materials. Included are the elements of biometrics technology, system security engineering, and principles of trusted systems. The course content of this program emphasizes ethical, economic, social, and legal impacts of biometrics technologies and information assurance techniques.
The goal of the graduate level 15 Credit Hour Information Assurance and Biometrics Certificate Program is to provide students with the following:
The coursework includes 15 credit hours of classes. As part of the certificate coursework, students will be expected to take four (4) required classes, and choose the fifth class between two approved electives. Titles of the required classes are:
The fifth class can be selected from the following list of approved electives:
The certificate program requires that students take and successfully complete five regular (one semester long) classes. Minimal class completion grade is C. The grade point average in all certificate classes must be no worse than 3.0 (B or higher).
This certificate program course of study can be taken by non-degree graduate students. We plan to maintain the academic records of these non-degree graduate students in the college/school graduate records office as well as in the files of the department offering the certificate. Should any of these non-degree students later decide to pursue a graduate degree in the department awarding the certificate, they must formally apply to the degree program and their credentials must conform to the limits established for the transfer of credit obtained by non-degree students. Namely, a maximum of 12 credits obtained by a non-degree student can be applied towards any degree.
The objective of this course is to present an introduction to the principles of operation, design, testing, and implementation of biometric systems and the legal, social, and ethical concerns associated with their use. Students will be introduced to a variety of techniques used in identification and verification of individuals, the physiological basis of these techniques, and the algorithms and statistical methods employed to achieve acceptable false-accept and false-reject ratios. Major and emerging biometric technologies, testing and evaluation, standards, and case studies will be discussed. The course is structured to provide an overview of the topics that will comprise the IAB Certificate and to meet the education needs of the students.
The objective of this course is to present an understanding of the role that statistics plays in forensic and identification science. Students will be introduced to a variety of statistical methods that are used in this discipline. Specifically, probabilistic models of evidence and uniqueness are studied. Students will be exposed to case studies of the use of statistics for identification.
The objective of this course is to provide students with a comprehensive overview of the threats to computer security, technologies for security assurance and engineering approaches to security solutions.
The course introduces students to advanced topics in biometrics and information assurance and provides hands-on experience with collection, storage, image processing, matching algorithms, statistics, encryption, and public acceptance of biometric signatures. Instruction will include lab experience.
The objective of this course is to describe modern approaches to information and system security, including an in-depth coverage of encryption techniques and security protocols, contemporary trusted computing base and intrusion detection techniques.
The objective is to introduce students to the fundamental topics in digital image processing, and to give them some experience using the mathematical techniques of image processing by doing assignments that involve actual biometric digital images and MATLAB toolset.
A capstone project will be required as part of the Advanced Biometrics course. Advanced Biometrics is a required capstone course taken after Concepts in Biometric Systems and Information Assurance (BIOM 426), Introduction to Computer Security (CS 465), and Forensic Statistics (STAT 5165). This course includes a once-a-week advanced topics seminar series and a three-hour laboratory. The laboratory will have both formal laboratory exercises and time devoted to the project. The project will provide the students with an opportunity to integrate the knowledge gained from the core courses to the program. The project description is as follows: