All sessions are in the Media Development Center, 213 Hale Library (adjacent to the IT Help Desk). The MDC has both Windows and Mac computers, and all have Acrobat Pro for best PDF conversion.
Zoom conferences for distance students
During the deadline week, distance students and others not on the K-State-Manhattan campus may schedule individual Zoom conferences (no camera required) on a first-come, first-served basis. Use the ETDR Request Form to suggest meeting times.
Need an ETDR review only?
Check your document with the ETDR Review Checklist. It covers 99% of issues that cause ETDRs to be rejected.
Get a preliminary review via email from the ETDR consultant by using the ETDR Request Form (K-State eID/password sign-in). Request “Email” as the contact method. Attach your document by using the “paperclip” icon on the form.
In response to recent inquiries from graduate students, two more walk-in help sessions on Electronic Theses, Dissertations, and Reports (ETDR) have been scheduled this semester: 5-6 p.m. Wednesdays, Nov. 1 and Nov. 8, in 407 Hale Library. These come-and-go help sessions are primarily for students graduating this semester.
ETDR walk-in help sessions are designed to give fast help on formatting theses and dissertations, Microsoft Word, LaTeX, and ETDR questions. About 30 Windows computers are available in Hale 407. Attendees are welcome to bring their laptops for specific help.
If you plan to attend, it will help to accommodate more students if you create an ETDR request form ahead of time and specify a meeting time (Nov. 1 ETDR session 5-6 p.m. OR Nov. 8 ETDR session 5-6 p.m.) Otherwise, students will be asked to create the online request when they arrive.
Tuesday, Oct. 31 is the deadline for submitting entries into the video and poster contest. Prizes will be awarded for first ($200) and two honorable mentions ($25) in both video and poster categories for a total of six prizes in the form of Visa gift cards. Entries may be featured on K-State’s websites, social media, and in security awareness campaigns.
See the contest website for rules and submission details. If you have any questions, contact the IT Help Desk (email@example.com).
Hard Drive Recycling Day is scheduled 8:30-11 a.m. Tuesday, Oct. 31, on the Manhattan campus to help departments properly dispose of old hard drives from university computers, printers, scanners and faxes.
After K-State Online Classic was retired on Jan. 1, instructors could submit a request form to retrieve their course content within a few days. That will change on Dec. 15, when all data in K-State Online Classic is permanently moved offline. Instead of a few days, it may take several weeks to retrieve any data.
Instructors, now is the time to archive any Classic content you want to keep. Submit a request form now if you need to access and archive your old data.
Class rosters and final grades do not need to be archived from Classic because they reside permanently as records in the KSIS student information system.
If you have questions regarding the K-State Online Classic retirement, contact the IT Help Desk, phone 785-532-7722 (toll-free 800-865-6143) or email firstname.lastname@example.org.
Graduate students who missed the September walk-in seminar on Electronic Theses, Dissertations, and Reports (ETDR) may want to attend the October session 11:30 a.m.-1 p.m. Wednesday, Oct. 18, in 407 Hale Library. This is a come-and-go seminar, so students can stay for more tips and timesavers, or get their answers and leave.
ETDR walk-in help sessions provide faster thesis/dissertation help on formatting, Microsoft Word, LaTeX, and ETDR questions. About 30 Windows computers are available in Hale 407. Attendees can bring their laptops if they need specific help.
Representatives from MathWorks will host a MATLAB seminar 3-5 p.m. Tuesday, Oct. 24, in 1109 Engineering Hall, which is adjacent to Durland Hall (see building locator map). This event is free to all K-State faculty, staff, and students. Registration is requested although walk-ins are welcome.
MATLAB is a programming environment for algorithm development, data analysis, visualization, and numerical computation. Using MATLAB, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and FORTRAN.