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ISYE 6501 MIDTERM 1,2 & FINAL EXAM STUDY GUIDE
2025/2026 ACCURATE QUESTIONS AND CORRECT
DETAILED ANSWERS WITH RATIONALES || 100%
GUARANTEED PASS BRAND NEW VERSION
Variable Selection ......ANSWER........Process of selecting the best
subset of predictors to explain variance in data; involves
eliminating unnecessary or redundant or less-important variables
from a potential set of predictors.
Vertex ......ANSWER........Location in a network. In a network
model, there is a constraint for each vertex to ensure that the
incoming flow equals the outgoing flow. Also called a node.
Voronoi diagram ......ANSWER........Graphical representation of
splitting a plane with two or more special points into regions with
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one special point each, where each region's points are closer to
the region's special point than to any other special point.
1-norm ......ANSWER........Similar to rectilinear distance; measures
the straight-line length of a vector from the origin. If
z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-
norm is square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| =
|𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing ......ANSWER........testing two alternatives to see
which one performs better
2-norm ......ANSWER........Similar to Euclidian distance; measures
the straight-line length of a vector from the origin. If
z=(z1,z2,...,zm) is a vector in an 𝑚-dimensional space, then its 2-
norm is the same as 1-norm but everything is squared= square
root(Σm over i=1 (|𝑧𝑖|)^2)
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Accuracy ......ANSWER........Fraction of data points correctly
classified by a model; equal to TP+TN / TP+FP+TN+FN
Action ......ANSWER........In ARENA, something that is done to an
entity.
Additive Seasonality ......ANSWER........Seasonal effect that is
added to a baseline value (for example, "the temperature in
June is 10 degrees above the annual baseline").
Adjusted R-squared ......ANSWER........Variant of R2 that
encourages simpler models by penalizing the use of too many
variables.
AIC ......ANSWER........Akaike information criterion- Model
selection technique that trades off between model fit and model
complexity. When comparing models, the model with lower AIC
is preferred. Generally penalizes complexity less than BIC.
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Algorithm ......ANSWER........Step-by-step procedure designed to
carry out a task.
Analysis of Variance/ANOVA ......ANSWER........Statistical
method for dividing the variation in observations among
different sources.
Approximate dynamic program ......ANSWER........Dynamic
programming model where the value functions are
approximated.
Arc ......ANSWER........Connection between two nodes/vertices in
a network. In a network model, there is a variable for each arc,
equal to the amount of flow on the arc, and (optionally) a
capacity constraint on the arc's flow. Also called an edge.
ISYE 6501 MIDTERM 1,2 & FINAL EXAM STUDY GUIDE
2025/2026 ACCURATE QUESTIONS AND CORRECT
DETAILED ANSWERS WITH RATIONALES || 100%
GUARANTEED PASS BRAND NEW VERSION
Variable Selection ......ANSWER........Process of selecting the best
subset of predictors to explain variance in data; involves
eliminating unnecessary or redundant or less-important variables
from a potential set of predictors.
Vertex ......ANSWER........Location in a network. In a network
model, there is a constraint for each vertex to ensure that the
incoming flow equals the outgoing flow. Also called a node.
Voronoi diagram ......ANSWER........Graphical representation of
splitting a plane with two or more special points into regions with
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one special point each, where each region's points are closer to
the region's special point than to any other special point.
1-norm ......ANSWER........Similar to rectilinear distance; measures
the straight-line length of a vector from the origin. If
z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-
norm is square root(|𝑧1|+|𝑧2|+⋯+|𝑧𝑚| =
|𝑧1|+|𝑧2|+⋯+|𝑧| = Σm over i=1 |𝑧𝑖|
A/B Testing ......ANSWER........testing two alternatives to see
which one performs better
2-norm ......ANSWER........Similar to Euclidian distance; measures
the straight-line length of a vector from the origin. If
z=(z1,z2,...,zm) is a vector in an 𝑚-dimensional space, then its 2-
norm is the same as 1-norm but everything is squared= square
root(Σm over i=1 (|𝑧𝑖|)^2)
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Accuracy ......ANSWER........Fraction of data points correctly
classified by a model; equal to TP+TN / TP+FP+TN+FN
Action ......ANSWER........In ARENA, something that is done to an
entity.
Additive Seasonality ......ANSWER........Seasonal effect that is
added to a baseline value (for example, "the temperature in
June is 10 degrees above the annual baseline").
Adjusted R-squared ......ANSWER........Variant of R2 that
encourages simpler models by penalizing the use of too many
variables.
AIC ......ANSWER........Akaike information criterion- Model
selection technique that trades off between model fit and model
complexity. When comparing models, the model with lower AIC
is preferred. Generally penalizes complexity less than BIC.
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Algorithm ......ANSWER........Step-by-step procedure designed to
carry out a task.
Analysis of Variance/ANOVA ......ANSWER........Statistical
method for dividing the variation in observations among
different sources.
Approximate dynamic program ......ANSWER........Dynamic
programming model where the value functions are
approximated.
Arc ......ANSWER........Connection between two nodes/vertices in
a network. In a network model, there is a variable for each arc,
equal to the amount of flow on the arc, and (optionally) a
capacity constraint on the arc's flow. Also called an edge.
