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Floor Hours

Fall 2019 

Hours of Operation


ER 9AM - 11PM
Shop 9AM - 11PM


ER 10AM - 10PM
SHOP 10AM - 10PM

Room Reservation Policies

Classrooms: classrooms are bookable, but only for large or consistent club/workshop meetings. We do not "own" the classrooms and other departments often hold classes in there. If you wish to inquire about an official booking in one of the classrooms, come see Anna at the front.

Conference Room: the one room we do "own" is the conference room, and it's bookable for most meetings. You can submit a room request form here. 

Huddle Rooms: huddle rooms (also known as phone booths) are not reservable by students. Faculty have priority over the use of the space; students are allowed to use the rooms, but must vacate if needed to by a faculty member. Students are not permitted to store or leave anything behind in the huddle rooms. 


revised 02/21/2019

ITP and IMA 4th Floor Access Policy

  • Equipment Room and Shop - close at 11PM every night

  • Shop Studio tables must be cleared each night - opening staff will remove any materials or projects left on top ofd studio tables

  • Public Safety personnel key off 4th Floor access in both south side elevators at 12AM (Midnight) every night

  • Only authorized personnel (Admin, Staff, Faculty) may request to be keyed on between 12AM - 7AM

  • NYUCard accessible entry doors on the 4th Floor are scheduled for 7AM - Midnight access

  • ITP/IMA students are permitted to continue working in common areas after Midnight on the 4th Floor but are advised that if they leave the 4th Floor for any reason they will not be able to reenter the 4th Floor until 7:00AM

  • This open Floor policy risks being revised or restricted if the Floor is not left in a usable, organized condition each morning. This means that classrooms and common areas of the Floor should be free of trash and food, that scrap or remains of what you were working on are cleared and that the Shop tables are cleared of projects.

  • ITP/IMA is considering using technology like Nest Cam IQ, AWS DeepLens and machine learning to conduct general headcount, safety monitoring and assessment of resource usage. We're interested in your thoughts about this and encourage you to share them via Cam-Feedback

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