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The NJCU School of Business utilizes Infosilem to assist with course scheduling. This software allows the Dean’s Office to incorporate faculty members’ individual availability restrictions and preferences in order to more closely generate a schedule that is optimal for faculty and students alike.

The following principles guide the construction of semester teaching schedules:

1. Within the School of Business, our first priority in scheduling classes is always the success and satisfaction of our students in pursuit of their academic and professional goals.
2. The University or School may also have scheduling needs or priorities that must be factored into class scheduling.
3. Within our adherence to the previous two principles, it is the goal of the School of Business to honor faculty availability preferences whenever possible.
4. Full-time faculty at NJCU are expected to be available to teach during all possible times on the NJCU scheduling grid, according to the terms, limitations, and conditions of the AFT Agreement and existing NJCU policies. Exceptions to faculty availability can be made according to three tiers of “unavailability”:
   1. Tier 1 (“Absolutely Required”) – These are times when faculty have unavoidable conflicts that make them absolutely unavailable to teach. Examples include medical, religious, institutional, state or federal, jury duty, or other court-mandated obligations. Faculty will not be assigned to teach during a time within a Tier 1 unavailability.
   2. Tier 2 (“Required”) – Unavailability to teach due to reasons of less urgency than those of Tier 1 (e.g., daycare). Infosilem will not typically schedule someone to teach during a Tier 2 unavailability, but the NJCU Scheduling Office has the ability to override this restriction.
   3. Tier 3 (“Desired”) – These are personal preferences for faculty unavailability (e.g., certain days of the week or times of day that are undesirable). The Infosilem software and scheduling offices may create conflicts with Tier 3 unavailabilities when necessary but will seek to avoid these conflicts when another scheduling solution exists.