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III. EXPECTED
WEEKLY LEARNING OUTCOMES .
The
following weekly learning outcomes will be addressed:
Week 1
·
Understand and be
able to explain the concepts related to the reasons modeling is
used to solve problems.
·
Understand and be
able to explain the concepts related to business process and how
models can assist in solving problems.
Week 2
·
Understand and be
able to explain the concepts related to modeling with the
problem solving process.
·
Understand and be
able to explain the concepts related to data modeling and the
real world and the model world.
·
Understand and be
able to explain the concepts related to the six stages modeling
process.
·
Understand and be
able to explain the concepts related to lessons learned from
expert modelers.
·
Understand and be
able to model each of the constructs in techniques to enhance
creativity in modeling.
Week 3
·
Understand and be
able to explain the key terms related to simplifying problems.
·
Understand and be
able to explain the concepts related to decomposing problems
into modules.
·
Understand and be
able to explain the concepts related to building and refining
prototypes.
·
Understand and be
able to explain the concepts related to graphing key
relationships.
·
Understand and be
able to identify parameters and perform sensitivity analysis.
·
Understand and be
able to use normalization to decompose a relation with anomalies
into well-structured relations.
·
Understand and be
able to separate the creation of ideas from their evaluation.
·
Understand and be
able to work backwards from the desired answer in formulation
model components.
·
Understand and be
able to identify and focus on model structures rather than data
collection.
Week 4
·
Understand and be
able to explain the concepts related influence charts.
·
Understand and be
able to explain the concepts related to principles for building
influence charts.
·
Understand and be
able to explain the concepts related to outlines for pricing
decisions and pro forma income statements.
·
Understand and be
able to explain the concepts related the use of decision trees.
·
Understand and be
able to explain the concepts related to modeling and the use of
network diagrams.
Week 5
Midterm Examination
Week 6
·
Understand and be
able to explain the concepts related to designing models using
spreadsheet.
·
Understand and be
able to explain the concepts related to designing models using
workbooks.
·
Understand and be
able to build and test models and simulations using
spreadsheets.
Week 7
·
Understand and be
able to explain the concepts related to performing simulation
analyses using spreadsheets.
·
Understand and be
able to employ base-case analysis, what-if, breakeven,
optimization, and risk analyses in modeling.
Week 8
·
Understand and be
able to explain the concepts related to data analysis in the
service of modeling to include:
o
Base case analysis
o
Sensitivity
analysis
o
Searching
o
Sorting
o
Filtering
o
Tabulating
·
Understand and be
able to explain the concepts related to estimating parameters
o
Point estimates
o
Interval estimates
o
Interval
proportional estimates
o
Sample size
determination
o
Capacity planning
·
Understand and be
able to explain the concepts related to exponential smoothing
Week 9
·
Understand and be
able to explain the concepts and terminology related to
optimization.
·
Understand and be
able to build models for solver.
·
Understand and be
able to perform model classification and solver algorithms.
·
Understand and be
able to perform non-linear programming to include, revenue
maximization, curve fitting, and sensitivity analysis.
·
Understand and be
able to explain the concepts related to linear programming.
Week 10
·
Understand and be
able to explain the concepts related to simulation with models.
·
Understand and be
able to explain the concepts related to selecting uncertain
parameters, probability distributions, precision in output, and
optimization.
Week 11
Final Examination |