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MS-E2134 - Decision making and problem solving, 12.09.2016-21.10.2016

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    Lecturer: Ahti Salo
    Course assistant: Pekka Laitila


    Why this course?

    The future impacts of a decision made today are often uncertain. These impacts may need to be evaluated with regard to multiple objectives, the relative importance of which may be viewed differently by different people involved in the decision process.

    This course introduces ways to support such complex decision-making processes through formal decision models. After the course, the student can 
    • recognize real-life decision problems where the use of decision models brings added value,
    • build decision models to support solving such problems,
    • solve such models with the help of software tools, and
    • interpret the results of decision these models to generate defensible decision recommendations.

    The student will also become aware of
    • the possible discrepancy between formal models and human behavior and
    • ways to mitigate the adverse effects of this discrepancy.


    Practical matters

    Teaching: Lectures (24h) and exercise sessions (24h)

    Assessment methods: Home assignments (60%) and exam (40%)

    Grading scale: 0-5

    Study material: Lecture slides and exercises

    Language of instruction: English

    Prerequisites: MS-A0501 Todennäköisyyslaskennan ja tilastotieteen peruskurssi (or equivalent), MS-C2105 Optimoinnin perusteet (or equivalent)

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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • Sandbox
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Instructions for Students
    • - Workspace for thesis supervision
    • WebOodi
    • Into portal for students
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Support for Studying
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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