ET 205. INTRODUCTION TO AUTOMATED IDENTIFICATION TECHNOLOGY - This course surveys the current technologies in automated identification. Topics to be discussed are: bar code technology, radio frequency identification, card technologies, and biometrics principles. Prerequisite: MA 112 minimum grade of C. (3)
ET 211. INTRODUCTION TO STATISTICS FOR AUTOMATED IDENTIFICATION TECHNOLOGY - This course provides students with a basic understanding and working knowledge of statistical methods used throughout the automated identification industry. Topics include statistical analyses, use of the mean and standard deviation as well as, sampling techniques and hypothesis testing. Numerical and graphical analysis will be done using MS Excel. Prerequisite: MA 112 minimum grade of C. (3)
ET 311. ADVANCED STATISTICS AND ANALYSIS TOOLS FOR AUTOMATED IDENTIFICATION APPLICATIONS - This course expands beyond basic statistics to prepare students for analysis of data relating to automated identification technology and standards development. Topics to be discussed include multivariate and non-parametric statistics. Prerequisite: ET 211 minimum grade of C. (3)
ET 312. RADIO FREQUENCY IDENTIFICATION (RFID) - This course covers the principles and applications of radio frequency identification (RFID). Emphasis is placed on RFID architecture, passive RFID, active RFID, tags protocols, EPC global Network, reader protocols, RFID middleware, and RFID information service. Prerequisite: ET 205 minimum grade of C (3 hours).
ET 313. INDUSTRIAL SUPPLY CHAIN MANAGEMENT - This course presents the introduction to industrial supply chain management focusing on the logistics, distribution and warehouse operations as well as the role of AIT in the supply chains. Prerequisite: ET 211 and 312 minimum grade of C. (3)
ET 314. INFORMATION TECHNOLOGY - This course provides the fundamentals of information technology including computer hardware/software, database design, and networking. Students will have an opportunity to create a database using one of the Database Management Systems. Prerequisite: ET 211 and 312 minimum grade of C. (3)
ET 393. BIOMETRICS AND APPLICATIONS - This course provides the fundamentals and applications of biometrics. Topics include: fingerprint recognition, facial recognition, iris scanning and verification, esoteric biometrics, biometric testing and evaluation, biometric standards, biometrics in large-scale systems, information security and privacy, biometrics in government and law/private-sectors, and biometrics major applications. Prerequisite: ET 205 minimum grade of C (3 hours).