Skip to main content
MyCourses MyCourses
  • 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 UNI (exams) Sandbox
  • CORONAVIRUS INFO
    Koronavirus - tietoa opiskelijalle Coronavirus - information for students Coronavirus - information för studerande Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia Effects of the coronavirus on studies: questions and answers Coronaviruset och studierna: frågor och svar Corona help for teachers
  • Service Links
    MyCourses - Instructions for Teachers - Teacher book your online session with a specialist - 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
  •   ‎(en)‎
      ‎(en)‎   ‎(fi)‎   ‎(sv)‎
  • Toggle Search menu
  • Hi guest! (Log in)

close

27C01000 - Business Decisions 1, 31.10.2016-09.12.2016

  1. Home
  2. Courses
  3. School of Business
  4. department of...
  5. 27c01000 - bu...
Syllabus

General

  • General

    General

    1.     OVERVIEW

    Management Science (MS) deals with the application of analytical models to help make better decisions. The terms Operations Research and Business Analytics are sometimes used as synonyms for MS. MS covers a wide range of problem-solving and mathematical modelling techniques that help managers to improve decision-making and efficiency.

     

    This course focuses on MS methods based on mathematical optimization such as Linear Programming, Mixed-Integer Linear Programming and Non-Linear Programming. These methods are introduced through applications in, for instance, production planning & scheduling, logistics, marketing and finance. The course also introduces approaches for modelling uncertainties and multiple decision objectives in optimization models.

     

    2.     PREREQUISITES

    Basic skills in spreadsheet software.

     

    3.     LEARNING OUTCOMES

    After the course the student can (i) recognize the types of real-life business decision problems where use of the models brings added value, (ii) interpret results of these models to derive defensible decision recommendations, and (iii) build and solve these models using spreadsheets to support business decision making.

     

    4.     ASSESSMENT, GRADING, EXAM FEEDBACK

    Final points consist of exam point (40%) and assignment points (60%). The final points determine the course grade as follows:  >50p  Grade 1, >60p Grade 2, >70p Grade 3, >80p Grade 4, and >90p Grade 5, with the exception that at least half of the exam points are required to pass. These bounds maybe relaxed during final grading.

     

    5.     ASSIGNMENTS

    There are three assignments with deadlines on roughly the third, the fifth and the sixth week of the course. Each assignment consists of several problems or cases, which usually require the use of spreadsheets or other mathematical software to solve. The total points are not equal for all three assignments.

     

    6.     READINGS

    Lecture and assignment material, and the textbook: An Introduction to Management Science by Anderson et al. (2010, ISBN Code: 978-1111532222, 2014, ISBN Code: 978-1-111-82361-0).  

     

     

     

    7.     PRELIMINARY SCHEDULE

    There are two 2h lectures and one 2h exercise session per week.

    Week

    Topic

     

     

    1

    Introduction; Linear programming (LP)

    2

    LP sensitivity analysis; Applications of LP in distribution and network problems

    3

    Guest lecturer from Business

    4

    Integer and Mixed-Integer linear programming (MILP) and applications

    5

    Non-linear programming (NLP); Modelling uncertainties

    6

    Multi-objective programming; Course summary

     

    8.     COURSE WORKLOAD

    Classroom hours

    36h

    Class preparation

     

    12h

     

    Assignments

    92h

    Preparing for the exam

    17h

    Exam

    3h

    Total

    160h (6 cr)

     

    9.     ETHICAL RULES

    Aalto University Code of Academic Integrity and Handling Thereof>

    https://into.aalto.fi/pages/viewpage.action?pageId=3772443

     

    10.   OTHER ISSUES 

    Register to course in MyCourses. Course materials excluding the text book are distributed in MyCourses.


    • icon for activity News forum
    • icon for activity General discussion Forum
    • icon for activity Course Syllabus File PDF document

Course home

Course home

Next section

Results►
Skip Upcoming events
Upcoming events
Loading There are no upcoming events
Go to calendar...
  • 27C01000 - Business Decisions 1, 31.10.2016-09.12.2016
  • Sections
  • General
  • Results
  • Home

Aalto logo

Tuki / Support
  • MyCourses help
  • mycourses(at)aalto.fi
Palvelusta
  • MyCourses rekisteriseloste
  • Tietosuojailmoitus
  • Palvelukuvaus
About service
  • MyCourses protection of privacy
  • Privacy notice
  • Service description
Service
  • MyCourses registerbeskrivining
  • Dataskyddsmeddelande
  • Beskrivining av tjänsten

Hi guest! (Log in)
  • 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
    • UNI (exams)
    • Sandbox
  • CORONAVIRUS INFO
    • Koronavirus - tietoa opiskelijalle
    • Coronavirus - information for students
    • Coronavirus - information för studerande
    • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
    • Effects of the coronavirus on studies: questions and answers
    • Coronaviruset och studierna: frågor och svar
    • Corona help for teachers
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Teacher book your online session with a specialist
    • - 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
  •   ‎(en)‎
    •   ‎(en)‎
    •   ‎(fi)‎
    •   ‎(sv)‎