Librarians are available in person at our service desks on the third and fourth floors of the Learning Commons
In-person hours are:
Monday-Thursday 10am - 6:30pm
Friday 10am - 5pm
The library organizes books according to the Library of Congress Classification and call numbers.
Call Numbers A → PS are on the east side of the library (to the right when entering)
Call numbers PS → Z are on the north end of the library (directly ahead of you when entering)
You can also find Great Reads, New Books, Graphic Novels, and Reference books in different sections through out the Library.
The Kettering University Library is here to help you navigate the vast information landscape. We have many resources that can help you both professionally and personally, including language-learning software, newspapers, Linkedin Learning, and more. If you ever need help, please reach out to us at email@example.com or come visit us on the 3rd floor of the Learning Commons and we would be happy to help.
Here are a few videos to get you started using the library's resources:
Kettering subscribes to these popular news sources. See the "Other news databases" link below for more.
The Flint Journal (1898 - present)
The Detroit News (1999 - present)
Detroit Free Press (1999 - present)
Ever wanted to brush up on your Python for data science? Or perhaps take a course in business analytics or financial forecasting? Maybe you could use help with a specific, technical question related to MATLAB, and YouTube isn't giving you what you need. Or, perhaps you are simply looking for help with personal and professional growth in any number or areas like time management and organization techniques. LinkedIn learning may be exactly what you are looking for.
LinkedIn Learning, provided through the library, "offers thousands of courses taught by industry experts in software, creative, and business skills". You can choose to take a full course, or just a short segment focused on your needs. If you choose to take a course, your progress will be saved and you can work through at your own pace.
Some examples of courses in popular areas can be found below:
|Python Essential Training||Communicating with Emotional Intelligence|
|Programming Foundations: Algorithms||Be an Inclusive Organization People Won't Leave|
|Learning Industrial Automation||Excel for Business Analysts|
|Data Science Foundations: Data Engineering||Predictive Analytics Essential Training: Data Mining|