Researchers need to keep up on the literature in their area. Their interests persist over long periods of time but their information needs morph as they read papers and conduct their own research projects. Often they share documents with colleagues, either informally via email or formally via portals such as citeulike. Although researchers employ a variety of tools (search engines, digests, alerts, bib tools, etc.), it is difficult to find one that incorporates all of the capabilities.
We have been developing a computational framework to allow researchers to find, rate and organize documents by their own topics as well as follow topics from colleagues. The framework supports refining and learning about topics and maintaining a personal repository.
The CS793 will focus on extending the capabilities of this framework by reading relevant literature and constructing and evaluating new components for it. Some components of interest are:
The goal will be one or more conference papers in areas of artificial intelligence and human computer interaction.
Consent from the instructors.
Here are the formally graded elements of the course and associated weighting: TBD
Semester grades are determined by the weighted sum of points earned in each of these areas. A subjective curve (set by the instructor) is used to map points onto grades. Typically, the curve is set such that the class mean gets an B, one standard deviation above the mean is an A, one deviation below is a C, and so forth. However, the instructor retains the right to move the curve either direction. If the entire class is strong, the mean might be better than a B. Conversely, if the class as a whole is weak, the mean might be below a B...
Exams and projects will be done individually and grades assigned on an individual basis. Further, students not already familiar with the CSU Honor Pledge should review this clear and simple pledge and always adhere to it.
No late materials will be accepted.
Literature Review | 10% |
Research Paper | 40% |
Poster Session | 50% |
All students taking this course are expected to participate actively.
All students are expected to conduct themselves professionally. We (the instructors and GTAs) assume you are familiar with the policies in the student information sheet for the department. Additionally, you are computing professionals, albeit perhaps just starting. You should be familiar with the code of conduct for the primary professional society, ACM. You can read the ACM Code of Conduct HERE.
We work to maintain an environment supportive of learning in the classroom and laboratory. Towards that end, we require that you be courteous to and respectful of your fellow participants (i.e., classmates, instructors, GTAs and any tutors). In particular: