California State University Stanislaus

CS 4950: Big Data and Cyber-Security

Fall 2017

Meeting days and times will change depending on which professor students are meeting that week

Instructors: Dr. Thomas Carter, Dr. Melanie Martin, and Dr. Megan Thomas

[Basic Information]        [Announcements]        [Calendar/Assignments]       [Links and Readings]

Course Description

This course will introduce students to several different aspects of work with computing, "big data" and cyber-security. Topics covered may include data mining and machine learning, data clustering, new models for processing large data sets rapidly, database and app security. Students will work with the instructors in groups on learning and assignments organized around three different themes related to big data or cyber-security, one theme for each instructor. Students will then select research projects of their own to work on for the final weeks of the semester.

Announcements and Upcoming Events

8/25/2017 Student groups will meet Wednesdays, at 2pm or 4pm. See schedule for more details.
8/24/2017 All students doing research need to complete the Responsible Conduct of Research Certificate, and bring a copy of the certificate to Dr Martin, Dr Thomas or Dr Carter. (Or email a .pdf of the certificate to Dr Martin.)
8/23/2017 Sign up here for defensive driving. Get a certificate when you finish it, and give a copy of the certificate to Marlys Knutsen in the CS office.
8/23/2017 Sign up for MentorNet!
8/23/2017 Welcome to CS 4950!

Basic Information

Required - access to the CSU Stanislaus Library's Safari On-line ebook collection.

Recommended Textbook is Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, by Ian H. Witten, Eibe Frank, and Mark A. Hall (Fourth edition available in Safari On-Line as of August 2017)

Prerequisite: Consent of instructor.

Warning: We reserve the right to make changes to the syllabus at any time during the term by announcing them via email and on this web page.

Grading and Policies

Final grades will be based on projects and assignments from each instructor, plus a final project. A plus and minus grading scale wll be used to assign final grades. Except for designated collaborative activities in connection with the project, all writing and other work you present for credit must be entirely your own, or developed on your own in consultation with the course instructors. Penalties for representing other people's work as your own will range from no credit on an assignment through failure of the course and possible University disciplinary action.

Grade Summary:
Assignments and Participation with Dr. Carter 25%
Assignments and Participation with Dr. Martin 25%
Assignments and Participation with Dr. Thomas 25%
Research Project 25%

Academic Honesty: The work you do for this course will be your own, unless otherwise specified. You are not to submit other people's work and represent it as your own. We consider academic honesty to be at the core of the University's activities in education and research. Academic honesty is expected at all times in this course.

Attendance: Regular class attendance will be crucial to student learning in this course, and will be expected by all instructors.

University Recording Policy: Audio or video recording (or any other form of recording) of classes is not permitted unless expressly allowed by the faculty member as indicated in the course syllabus or as a special accommodation for students who are currently registered with the Disability Resource Services Program and are approved for this accommodation. Recordings allowed as special accommodations are for the personal use of the DRS-approved student, and may only be distributed to other persons who have been approved by the DRS program. Faculty may require the student sign an Audio / Video Recording Agreement, which they may keep for their records.

University Disability Services: CSU Stanislaus respects all forms of diversity. By university commitment and by law, students with disabilities are entitled to participate in academic activities and to be tested in a manner that accurately assesses their knowledge and skills. They also may qualify for reasonable accommodations that ensure equal access to lectures, labs, films, and other class-related activities.   Please see the instructor if you need accommodations for a registered disability.  Students can contact the Disability Resource Services office for additional information.  The Disability Resource Services website can be accessed at
Phone: (209) 667-3159