UNIVERSITY OF MANAGEMENT AND TECHNOLOGY

Department of Quantitative Methods

Statistical & Mathematical Computing Laboratory

Statistical & Mathematical Computing Laboratory (SMCL), a unit within Department of Quantitative Methods (DQM), School of Business & Economics (SBE), supports classrooms and computing facilities for the University research and teaching community. The SMCL serves as a statistical and mathematical information center for research and quantitative analysis providing in-depth consulting for statistical software, quantitative methods, management & marketing research, social science data resources, geospatial resources and analysis, and technical developments relevant to statistical and mathematical computing.

Available Computing Packages

At the time SMCL is capable of providing technical expertise on following Statistical, and Mathematical computing packages

Platform

Smcl  offers consulting at MS Windows Apple MAC and LINUX platform. However all of these softwares are not available for all of these platforms.

Statistical

SPSS, MiniTAB, NCSS, PASS, MS Excel, Sigma Plot, Table Curve 3D, Table Curve 2D, Peakfit, SYStat, Statistica, Stat Transfer, XLStat, Sudaan, JMP, Visual Stat ,SAS, R, S Plus, AMOS, Lisrel, Stata, EViews, MicroFIT, Gauss, MikTek, Endnote

Mathematical

Mathematica, Matlab, Octave, MathCAD, Maple

Geological

Arc View, Geo View, Geo E View

Bibliographical

Endnote, procite, JabREF, Reference manager.

Professional writing

LaTeX, MikTek, Scientific Word

Professional training

Courses in SPSS

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