Data Analysis In the meeting, the analysis that has led the College President to conclude that a reduction- in-force in the FSA at that College may be necessary will be shared. The analysis will include but is not limited to the following: ● Relationship of the FSA to the mission, vision, values, and strategic plan of the College and district ● External requirement for the services provided by the FSA such as accreditation or intergovernmental agreements ● Annual instructional load (as applicable) ● Percentage of annual instructional load taught by Residential Faculty (as applicable) ● Fall Full-Time Student Equivalent (FFTE) inclusive of dual enrollment ● Number of Residential Faculty teaching/working in the FSA ● Number of Residential Faculty whose primary FSA is the FSA being analyzed ● Revenue trends over five years for the FSA including but not limited to tuition and fees ● Expenditure trends over five years for the FSA including but not limited to personnel and capital ● Account balances for any fees accounts within the FSA ● Cost/benefit analysis of reducing all non-Residential Faculty plus one Residential Faculty within the FSA ● An explanation of the problem that reducing the number of faculty in the FSA would solve ● The list of potential Residential Faculty that are at risk of layoff as determined by the Vice Chancellor of Human Resources ● Other relevant information, as requested
Statistical Analysis 31 F-tests and t-tests will be used to analyze OV and Quality Acceptance data. The F-test is a 32 comparison of variances to determine if the OV and Quality Acceptance population variances 33 are equal. The t-test is a comparison of means to determine if the OV and Quality Acceptance 34 population means are equal. In addition to these two types of analyses, independent verification 35 and observation verification will also be used to validate the Quality Acceptance test results.
Statistical Sampling Documentation a. A copy of the printout of the random numbers generated by the “Random Numbers” function of the statistical sampling software used by the IRO.
Technical Standards Applicable to a Wind Generating Plant i. Low Voltage Ride-Through (LVRT) Capability A wind generating plant shall be able to remain online during voltage disturbances up to the time periods and associated voltage levels set forth in the standard below. The LVRT standard provides for a transition period standard and a post-transition period standard.
TECHNICAL EVALUATION (a) Detailed technical evaluation shall be carried out by Purchase Committee pursuant to conditions in the tender document to determine the substantial responsiveness of each tender. For this clause, the substantially responsive bid is one that conforms to all the eligibility and terms and condition of the tender without any material deviation. The Institute’s determination of bid’s responsiveness is to be based on the contents of the bid itself without recourse to extrinsic evidence. The Institute shall evaluate the technical bids also to determine whether they are complete, whether required sureties have been furnished, whether the documents have been properly signed and whether the bids are in order.
Technology Research Analyst Job# 1810 General Characteristics Maintains a strong understanding of the enterprise’s IT systems and architectures. Assists in the analysis of the requirements for the enterprise and applying emerging technologies to support long-term business objectives. Responsible for researching, collecting, and disseminating information on emerging technologies and key learnings throughout the enterprise. Researches and recommends changes to foundation architecture. Supports research projects to identify and evaluate emerging technologies. Interfaces with users and staff to evaluate possible implementation of the new technology in the enterprise, consistent with the goal of improving existing systems and technologies and in meeting the needs of the business. Analyzes and researches process of deployment and assists in this process.
Research Use Reporting To assure adherence to NIH GDS Policy, the PI agrees to provide annual Progress Updates as part of the annual Project Renewal or Project Close-out processes, prior to the expiration of the one (1) year data access period. The PI who is seeking Renewal or Close-out of a project agree to complete the appropriate online forms and provide specific information such as how the data have been used, including publications or presentations that resulted from the use of the requested dataset(s), a summary of any plans for future research use (if the PI is seeking renewal), any violations of the terms of access described within this Agreement and the implemented remediation, and information on any downstream intellectual property generated from the data. The PI also may include general comments regarding suggestions for improving the data access process in general. Information provided in the progress updates helps NIH evaluate program activities and may be considered by the NIH GDS governance committees as part of NIH’s effort to provide ongoing stewardship of data sharing activities subject to the NIH GDS Policy.
Segmentation The purchase of any Products and related Service Offerings or other Service Offerings are all separate offers and separate from any other order for any Products and related Service Offerings or other Service Offerings You may receive or have received from Oracle. You understand that You may purchase any Products and related Service Offerings or other Service Offerings independently of any other Products or Service Offerings. Your obligation to pay for (a) any Products and related Service Offerings is not contingent on performance of any other Service Offerings or delivery of any other Products or (b) other Service Offerings is not contingent on delivery of any Products or performance of any additional/other Service Offerings. You acknowledge that You have entered into the purchase without reliance on any financing or leasing arrangement with Oracle or its affiliate.
Program Evaluation The School District and the College will develop a plan for the evaluation of the Dual Credit program to be completed each year. The evaluation will include, but is not limited to, disaggregated attendance and retention rates, GPA of high-school-credit-only courses and college courses, satisfactory progress in college courses, state assessment results, SAT/ACT, as applicable, TSIA readiness by grade level, and adequate progress toward the college-readiness of the students in the program. The School District commits to collecting longitudinal data as specified by the College, and making data and performance outcomes available to the College upon request. HB 1638 and SACSCOC require the collection of data points to be longitudinally captured by the School District, in collaboration with the College, will include, at minimum: student enrollment, GPA, retention, persistence, completion, transfer and scholarships. School District will provide parent contact and demographic information to the College upon request for targeted marketing of degree completion or workforce development information to parents of Students. School District agrees to obtain valid FERPA releases drafted to support the supply of such data if deemed required by counsel to either School District or the College. The College conducts and reports regular and ongoing evaluations of the Dual Credit program effectiveness and uses the results for continuous improvement.
SERVICE MONITORING, ANALYSES AND ORACLE SOFTWARE 11.1 We continuously monitor the Services to facilitate Oracle’s operation of the Services; to help resolve Your service requests; to detect and address threats to the functionality, security, integrity, and availability of the Services as well as any content, data, or applications in the Services; and to detect and address illegal acts or violations of the Acceptable Use Policy. Oracle monitoring tools do not collect or store any of Your Content residing in the Services, except as needed for such purposes. Oracle does not monitor, and does not address issues with, non-Oracle software provided by You or any of Your Users that is stored in, or run on or through, the Services. Information collected by Oracle monitoring tools (excluding Your Content) may also be used to assist in managing Oracle’s product and service portfolio, to help Oracle address deficiencies in its product and service offerings, and for license management purposes.
