This laboratory supports students enrolled in CECS 525, Microcomputer Design. Students design and construct microcomputers with microprocessors and digital integrated circuits. Bread boarding, hardware design, and software design are emphasized.
This new laboratory is being created to support acquisition of a Big Data Analysis Platform (BDAP) with high performance data storage, networking and processing capabilities.
This laboratory is used for research in areas such as micro air vehicles using secure ad-hoc networks and optical navigation, distributed network architectures, and embedded systems.
This laboratory is used by students enrolled in the mobile applications course (CECS 570) for building their applications, assignments, and course examples. In addition it is used for research in areas of applications design and implementation and health care applications.
This laboratory supports graduate and undergraduate research in the areas of multimedia information indexing and retrieval, data mining, information fusion, and clustering and classification of multimedia objects.
This laboratory serves the students in CECS 535, Introduction to Databases. It is also used by CECS students enrolled in independent study. Research in this lab includes non-relational optimization of relational queries, query languages with generalized quantifiers, counter-terrorism and intelligence applications of database technology, and focused crawling of the Web.
This laboratory is used for research in areas such as analysis of in-flight recorded data, bioinformatics computational approaches, parallel computation, interactive interfaces and 3-D visualizations.
This laboratory is used for research in areas such as resilience analysis of data center and cloud computing architectures, face recognition for security and other applications, medical imaging and computer assisted diagnosis for prostate and breast cancer.
Research supported by this laboratory includes visualization of bioinformatics data and images for data analysis, computational functional genomics, including: transcriptional and translational, control of gene expression, variability and tissue specificity of gene products, systems biology approaches for gene expression, and meta-analysis techniques.
This laboratory is used for research in areas such as behavioral biometrics, cyber security of virtual worlds, forensic data collection, and security against artificially intelligent attackers.
Research supported by this laboratory include fundamental and applied AI, machine learning, data mining & data science, and knowledge discovery.
This laboratory supports students enrolled in CECS 632, Data Mining. Students in this course learn data mining concepts, methodologies, and techniques, including: statistical and fuzzy inference, cluster analysis, artificial neural networks and genetic algorithms, rule association and decision trees, N-dimensional visualization, Web and text mining, and advanced topics. Research supported by this laboratory includes click fraud detection and prevention, search snippets, and never ending and ensemble learning.
This laboratory is used for research in areas such as cloud computing and service oriented architecture, mobile and distributed processing, network coding techniques, and network tomography. This laboratory is also used for graduate and undergraduate research in the general field of computer systems, specifically focusing on data storage systems, parallel and distributed systems, high performance computing, cloud computing and big data management.
This laboratory supports students enrolled in CECS 311 Ethics, Social and Legal Aspects on the Electronic Frontier, CECS 528 Game Design and Programming, CECS 530 Design of Compilers, CECS 590 Special Topics, CECS 611 Computer Architecture, CECS 625 Parallel Programming, CECS 628 Computer Graphics, and CECS 631 Database Security. As an instructional laboratory, with two projectors, professors are able to provide hands-on training to students. The computer systems can also be used by students for homework assignments and laboratory projects, when classes are not in session. Software includes: MatLab, 7 Zip, Bloodshed, Filezilla, GIMP, M.S. Office, Silverlight, LabView, M.S. SQL Server, M.S. Sync Framework, M.S. Visual Studio, Minitab, Putty, Python, Video Lan (VLC), VIM, Blender, M.S. Windows SDK, M.S. VNA Game Studio, NI Circuit Design, Notepad, Rockwell Arena, VMWare vSphere Client, WinSCP, and Eclipse.
This laboratory supports students enrolled in CECS 412, Introduction to Embedded Systems. Laboratory projects facilitate learning assembly language programming, parallel and serial data transfer, polling, interrupts and servicing of interrupts, software and hardware timing, analog-to-digital and digital-to-analog conversion, interfacing, system design, and implementation. The lab environment is based upon the AVR XMEGA Evaluation Kit Microcontrollers.