Enrolment options

ISM-E1006 - Decision Analytics for Consulting, Lecture, 25.2.2025-3.4.2025

Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Decision analytics comprises methods and tools for supporting better decision making. Often, decision analytics models must be structured in collaboration with human decision makers to capture the decision makers' values, preferences, and beliefs, and to create a sense of ownership of the decision recommendations generated by the model. This course focuses on tools and facilitation techniques in such collaborative decision analytics processes. After taking the course, the student can (i) recognize the types of real-life business problems where the use of models adds value, (ii) facilitate processes for structuring such models in collaboration with human decision makers, and (iii) interpret the results of these models to derive defensible decision recommendations. 

Credits: 6

Schedule: 25.02.2025 - 03.04.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Eeva Vilkkumaa

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Multiattribute value/utility theory, value-focused thinking, portfolio decision analysis, scenarios, behavioral decision making, group decision processes.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Participation in class, assignments, group project work. 

Workload

  • valid for whole curriculum period:

    Participation in class, assignments, group project work. 

DETAILS

Study Material

  • valid for whole curriculum period:

    Lecture slides, scientific articles, assignments.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV
    2025-2026 Spring IV

    Registration:

    1. BA master's students, 2. ISM master's students, 3. Other students. 

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Aalto University Code of Academic Integrity and Handling Violations Thereof

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