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 security tools - for longer term (beyond immediate execution) analysis
 of the collected malware.
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+Network analysis of EEG data: Understanding connections in the brain
+====== Network analysis of EEG data: Understanding connections in the brain ======
+**Supervisor**: Andrew Eckford
+**Required Background**: CSE 3213 (Computer Networks), CSE 3451 (Signals and Systems), and MATH 2030 (Elementary Probability); or equivalents
+**Preferred**: At least a B in all of the above courses
+__Description__
+Electroencephalogram (EEG) data indicates electrical activity at particular locations in the brain. Using EEG data from multiple sensors, it is possible to find correlations among the measurements, and identify “networks” of activity in the brain. These networks help researchers to determine exactly how the brain processes various stimuli.
+The tools that are used to analyze communication networks can also be used to analyze brain networks. In this interdisciplinary project, you will work with a collection of EEG data to identify correlated measurements, and determine network-type relationships based on those measurements. To do so, you will apply skills you learned in courses on Signals and Systems, Computer Networks, and Probability. Your work may lead to a research publication.
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+====== An Open Source Structural Equation Modeling Path Diagram to Syntax Application ======
+**Supervisor**: Jeff Edmonds
+**Required Background**: JAVA
+**Recommended Background**: GUI Development
+__Description__
+The software required is an application that allows researchers to define their hypothesized models visually and will output the correct syntax for the analytical software of their choosing.
+To date a promising functional application has been developed in JAVA by a Computer Science student as a 4080 project.  The existing software allows the user to draw a path diagram and outputs code for the R package sem.  There are a number of improvements to be made (refinements and additions to graphical user interface) and then the application needs to be extended to output syntax appropriate for additional software applications (openMX, MPlus and EQS).
+This a cross-disciplinary project with the Quantitative Methods division of the Department of Psychology. As such, the student will be working with individuals with expertise in the relevant statistics but are not themselves software developers, which is reflective of real-world situations.  The student is not expected to have any familiarity with statistics or the software packages mentioned above, this background will be provided.