The organization of the course will evolve as the semester progresses.
I'm quite confident that it will be challenging but a fun course.
This is not a lecture course, but an active learning opportunity with an engagement in research.
Presentation slides will be available on the class web page. I will try to put them up before each class meeting.
Class participation in terms of asking questions is highly encouraged.
Please do not be afraid to ask questions no matter how simple you might think the answer could be.
This type of interaction helps improve the effectiveness of the class and breaks the monotony.
Students are encouraged to bring articles, demos, web pages, news events, etc.
that are relevant to course topics to the attention of the instructor.
The success of the course depends on everyone in the class engaging the material
and bringing energy, enthusiasm, and intellect to class activities.
Regular attendance is highly recommended. If you miss a class, you are responsible for all material covered or assigned in class.
You should arrive on time and be prepared to discuss the session's topic.
The underlying notion of the class is interaction, not passivity.
Unless instructed otherwise, use of electronic devices including laptops are not allowed during lectures and exams.
Extra credit will be offered to the undergraduate students who attend the departmental colloquia (an extra point for two colloquium attendance up to 3 points). You will be reminded in class about upcoming talks but you should also check the colloquia page on a regular basis (http://www.unr.edu/cse/calendar).
Each student will prepare a research project on a social network of their choice.
The expected outcome of the project is a research paper that can be published at a quality conference or workshop.
Requiring major effort from you, the project will help in learning the culture and practice of scientific research.
Your writing should be clear, engaging, technically sound, and written in an appropriate style for an academic publication.
Late submission during project stages will be penalized by 10% per day, except holidays.
You would be required to prepare reports for each stage of the project.
The first project report will be an abstract submission of the project idea.
The second report will require each student to carry out a thorough review of the research related to his/her project and become the background and related work sections of the final paper.
The third report will cover the methodology of research project providing details of the approach/idea.
Final report will include complete paper with Introduction, Related Work, Methodology, and Evaluations sections.
There will be eight seven lab assignments where you will have hands on experience on different social network analysis tasks.
Late submission will be penalized by 20% per day, except holidays.
There will be ten eleven in-class quizzes. The lowest graded one two will not affect your overall grade. Exact date for some of these quizzes will not be exposed beforehand. The quizzes will be closed book/notes and time-constrained, i.e., 10-15 mins. Questions in these quizzes will be designed to give you an opportunity to test and affirm your knowledge of the course content.
There will be extra questions in assignments and quizzes for CS 691g students.
Assignments and quizzes must be prepared strictly individually.
You are welcome to discuss the problems or solution strategies with your class mates but the resulting work should be your own.
Copying from each other or from other sources is considered as cheating.
"Cheating, plagiarism or otherwise obtaining grades under false pretenses constitute academic dishonesty according to the code of this university. Academic dishonesty will not be tolerated and penalties can include filing a final grade of "F"; reducing the student's final course grade one or two full grade points; awarding a failing mark on the coursework in question; or requiring the student to retake or resubmit the coursework. For more details, see the University of Nevada, Reno General Catalog.
Any student with a disability needing academic adjustments or accommodations is requested to speak with the Disability Resource Center (Pennington Student Achievement Center, Suite 230) as soon as possible to arrange for appropriate accommodations.
Surreptitious or covert video-taping of class or unauthorized audio recording of class is prohibited by law and by Board of Regents policy. This class may be videotaped or audio recorded only with the written permission of the instructor. In order to accommodate students with disabilities, some students may be given permission to record class lectures and discussions. Therefore, students should understand that their comments during class may be recorded.
Equal Opportunity and Title IX:
The University of Nevada, Reno is committed to providing a safe learning and work environment for all. If you believe you have experienced discrimination, sexual harassment, sexual assault, domestic/dating violence, or stalking, whether on or off campus, or need information related to immigration concerns, please contact the University's Equal Opportunity & Title IX office at 775-784-1547. Resources and interim measures are available to assist you. For more information, please visit: https://www.unr.edu/equal-opportunity-title-ix.
The main component of your grade is a research project that may materialize as a publication.
If your project has a significant coding or computational component (e.g., downloading and analyzing a dataset), then you may work with a partner after consulting with the instructor.
The paper will be judged on the following criteria:
Insight: Your paper should be more than just a recapitulation of existing work, or just raw analysis of data. You should make an effort to provide insight to the reader: for example, what is the data telling us about the analyzed characteristic in the social network?
Command of relevant course material: Your paper should connect to the main themes of the course, and your coverage of the related material should demonstrate competence with the content of the project.
Clarity: You must clearly articulate the problem(s) or question(s) you are addressing; your methodology and approach; and your insights, solutions, and remaining open questions.
Rigor and precision: Your paper must be mathematically precise where necessary, and rigorous and logical in its reasoning throughout. Any methodology used should be justified, and limitations or assumptions should be clarified.
Important Note: You will have one week to appeal for your grades after the graded assignments/tests are returned.
So, please keep this in mind if you think that there is a problem/issue with the grading of your work.