Skip to Content

    Information Technology

    The Information Technology Department strives to provide access to teaching, learning, research, administrative, and communication technologies through a commitment to excellence in infrastructure, customer support, end user professional development opportunities, and technical leadership in fulfillment of the institutional mission and core values. Please refer to our menu on the left for further information.

    Online Support Center

    Students, Faculty and Staff can also get help here: mediatech@rwu.edu

    Help with getting connected to the RWU wireless networks will be available in the Main Library for all students during Library hours.

     

    media•tech Support Center Walk-In Hours of Operation

    Sun. Mar  1 - 10:00pm to 2:00am
    Mon. Mar 2 -  7:30am to 2:00am
    Tue. Mar  3 -  7:30am to 2:00am
    Wed.Mar 4  -  7:30am to 2:00am
    Thu. Mar 5  -  7:30am to 2:00am
    Fri.  Mar  6  -  7:30am to 6:00pm
    Sat. Mar  7  - Closed

    We are located on the first floor of the Main Library

    You can contact media*tech by phone at (401) 254-6363

    Purchase Computer Equipment For Class

    Apple Back to School Offer

    Gov Connection

    InfoTech Happenings This Week:

    Mar 1, 2015 - Mar 7, 2015 

    Installation will be continuing for the addition of wireless access points at Almeida Residence Halls and MNS during this week.

     

    Technology Definition of the Week:

    Machine Learning

     An area of computer science and statistical modeling that allows a computer program to predict an outcome or make a decision without being explicitly programmed to do so.

    Machine learning, which forms the basis for artificial intelligence (AI), is closely tied to data analytics and data mining programming. Both machine learning and data mining applications use mathematical algorithms to search through data and look for patterns. However, instead of extracting data for human comprehension, as is the case in data mining applications, machine learning uses algorithms to detect patterns in data and adjust program actions accordingly.