Advanced Topics in AI - CIS 830
CIS 830 - Advanced Topics in Artificial Intelligence
This course shares a lecture section with CIS 732 - Machine Learning and Pattern Recognition. In the past (2002 - 2011), it was cross-listed with CIS 732. Since 2012, it has been listed as a separate course with shared lectures and in-person venue, different syllabi depending on current topics, and different course requirements. The key differences are:
- CIS 830 is an advanced topics course and emphasizes current research literature and supervised individual or team projects more than CIS 732
- There are no exams in CIS 830; this part of the course grade is allocated to the project
- Other assignments (homework and labs) are also shared with CIS 732 but with some non-overlapping problems
Past Syllabi
Redirectors
- Spring 2023 - upcoming offering
- Spring 2022 -
- Spring 2021 -
- Spring, 2020 -
- Spring, 2019 -
- Spring, 2018 -
- Spring, 2017 -
- Spring, 2016 -
- Spring, 2015 -
- Spring, 2014 -
- Spring, 2013 -
- Spring, 2012 -
- Spring, 2011 -
- Spring, 2010 -
- Spring, 2009 -
- Spring, 2008 -
- Spring, 2007 -
- Fall, 2005 -
- Fall, 2004 -
- Fall, 2003 -
- Fall, 2002 -
- Spring, 2000 (first offering) -
Official Communications Venue
- The course is administered through Canvas and all announcements and official communications will be made using Announcements and posts in the Discussions section of Canvas for this course. Some class participation exercises, project proposals, and sign-ups for project presentations will be conducted in Discussions.
- To reach the instructional staff directly, use Canvas e-mail (click the "Help" button on the left-hand sidebar in Canvas and select "Ask my instructor a question"). This message will go to the instructor and TAs.
- If you are not yet registered for the course, please contact the instructor directly or use the publicly accessible LISTSERV to contact the TAs as well.
Alternate Communications Venues (optional except for Canvas)
- Advanced Topics in Artificial Intelligence LISTSERV mailing lists - will go to all instructional staff for the course (no need to cc: bhsu - AT - ksu.edu and current teaching assistant)
- Slack workspace for Kansas State CS courses - sign up by going to web site
- CS Department Discord - use the Discord web site or app and the DiscordBot to join
For Canvas tech support, please contact the K-State Information Technology Help Desk. Contact the instructional staff by e-mail from within Canvas, or by using the publicly-accessible LISTSERV, if you have any trouble accessing any of the above communications channels. In case of any response delays, or if the LISTSERV is down, please contact the instructor directly.
Last updated by rotclanny on Aug 20, 2023