Computer Science and Information Systems
The department offers baccalaureate degree programs in computer science (CS) and in computer information systems (CIS) and concentrations are available in computer game technology (CGT) and software, Web, and computer security (Security). A CS or CIS major can earn one or both concentrations. Minors are also offered in computer science and information systems and CGT.
The department offers master degree programs in computer science (CS) and in computer information systems (CIS), and concentrations are available in 1) software engineering, 2) intelligent systems, databases, and data mining, 3) Web technologies and systems, 4) theoretical computer science, 5) emerging topics in computer science, 6) software, Web and computer security, 7) computer game technology, and 8) emerging topics in computer information systems.
Both CS and CIS majors are trained to analyze requirements, design, develop, and test software systems, devise new innovations and applications in computing, and solve scientific, engineering, and business problems requiring computer applications.
CS and CIS graduates are employed by a variety of industries and non-profit organizations as software engineers and/or developers, system administrators and/or developers, system analysts, network administrators, Web developers and/or technologists, software test engineers, and database administrators and/or developers.
Capstone Project 1: MRI Thermometry for Brain
Brain temperature has an interactive relationship with brain neuron cell metabolism. Recently, hypothermia has been proven to be effective in reducing the brain injury during the stroke. However, the underlying mechanism of this therapy is still not known. In order to provide a more effective treatment to stroke and head injury patients in Illinois Neurological Institute, Dr. Liu et al. at Stroke Center at OSF Saint Francis Medical Center proposes a non-invasive MRI thermometry protocol and tool to generate a brain temperature map. Our students have been designing and implementing an automated data processing and visualization tool using IDL to generate a brain temperature map. The tool will support the clinical research and application of the non-invasive MRI thermometry protocol on stroke and head injury patients.
Capstone Project 2: Intelligent-Intruder Detection in Wireless Sensor Networks
Intruder detection, as an important application in Wireless Sensor Network (WSN), is to detect or prevent malicious intruder(s) from traversing the field of interest within application-specific limits. Most of the existing research either assumes a linear or random mobility model in abstracting intruders’ motions in a WSN; however, a real-life intruder is usually an intelligent mobile robot with environment learning and detection avoidance capability. This makes it imperative to investigate the impact of intruder’s intelligence on the intruder detection problem in a WSN. The purpose of this project is to develop a WSN simulator, design and implement different intelligent intruder path planning algorithms, and investigate the interplays between intelligent intruders and WSN settings. This work will provide insight into WSN deployment and configuration for various intruder detection application circumstances.
Top Analytics Research
CSIS professor wins international award for analytics research
Mid-term grades due from instructors via AcInquire before 3:00 p.m.