Paper Title
Efficiency in Intellectual Capital, Research and Extension of BSCS Programs of SUCS in Region I

Abstract
This study primarily determined the level of efficiency in intellectual capital (faculty and students), research, and extension of the Colleges of Computer Science (CCS) of the four State Universities and Colleges (SUCs) in Region I from A.Y. 2009-2010 to A.Y. 2011-2012. Specifically, it identified the following: 1) efficiency level of the CCS as to intellectual capital, research, and extension; 2) peer groups (model for improvement) and weights (percentage to be adapted to become fully efficient) of the CCS; 3) virtual inputs and outputs (potential improvements) of the CCS to be in the efficient frontier; and 4) fully efficient CCS operating with the best practices in the region. Data gathered from documentary analyses of accreditation-related documents were treated using the Data Envelopment Analysis (DEA) software. Findings of the study showed that: 1) CCS A, B and D are �fully efficient� in all the performance indicators. CCS C is �fully efficient� in Faculty, Students, and Research, but �weak efficient� in Extension; 2) �Fully efficient� CCS A, B and D have no peers and weights. CCS C needs to adapt 46% of the best practices of CCS D, being its peers and weights in Extension; 3) �Fully efficient� CCS do not have any virtual inputs and outputs. However, CCS C needs 76.92% decrease in the number of extension staff/personnel, 26.15% decrease in its number of linkages, and 168.21% increase in the number of clients served; and 4) All the colleges have the best practices in Faculty, Students, and Research. CCS D has the best practices in Extension. In general, CCS D has the best practices in all the studied performance indicators. Index Terms- Accreditation, BS Computer Science, Data Envelopment Analysis, Efficiency, Extension, Faculty, Intellectual Capital, Peer Groups And Weights, Research, Students, State Universities And Colleges, Virtual Inputs And Outputs.