Description:

For this assessment task, students will build upon the real case study analyzed in Assessment Task

One and develop decision$-$making models to address the identified decision$-$making situations.

They will create cognition$-$driven, model$-$driven, and data$-$driven decision$-$making models, each

tailored to address specific aspects of the case study. These models should integrate theoretical

frameworks, cognitive processes, and relevant data to support decision making.

Instructions:

$1.$ Select the real case study analyzed in Assessment Task One.

$2.$ Develop TWO decision making models for two decision making situations. Select two of three

below models:

$$ Develop a cognition$-$driven decision$-$making model tailored to address one of the identified

decision$-$making situations from the case study. This model should emphasize the cognitive

processes involved in decision making and incorporate relevant psychological theories and

concepts.

$$ Create a model$-$driven decision$-$making model designed to address another decision$-$

making situation from the case study. This model should rely on established decision$-$

making models or frameworks such as rational decision making, bounded rationality, or

prospect theory.

$$ Construct a data$-$driven decision$-$making model for addressing the remaining decision$-$

making situation from the case study. This model should utilize data analysis techniques,

statistical methods, or machine learning algorithms to derive insights and support decision

making.

$3.$ Provide a rationale for the selection of each decision$-$making model and explain how it

addresses the respective decision$-$making situation.

$4.$ Justify the inputs, assumptions, and limitations of each decision$-$making model.

$5.$ Present the decision$-$making models in a clear and structured manner, supported by relevant

evidence and references.

$6.$ Ensure in$-$text referencing and formatting are IEEE style.