Omfattning: 6

Tidtabel: 14.01.2019 - 18.02.2019

Ansvarslärare (är i kraft 01.08.2018-31.07.2020): 

Juuso Liesiö

Kontaktuppgifter till kursens personal (gäller denna kursomgång): 

Porf. Juuso
Liesiö,, G4.13, Chydenia, Runeberginkatu 22-24, Office
hours: After lectures or by appointment

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

Period III (2018-2019) Otaniemi campus

Period III (2019-2020) Otaniemi campus

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

Management Science deals with use of analytical models to help make better business decisions. This course focuses on models for supporting decision making under uncertainty, risk and multiple objectives. After the course the student can (i) recognize the types of real-life business 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 a computer to support business decision making.

Innehåll (är i kraft 01.08.2018-31.07.2020): 

Monte Carlo simulation, decision trees, value of information, expected utility theory, risk attitudes, stochastic dominance, risk measures, multi-attribute utility/value theory, modelling uncertainties and multiple objectives in optimization problems.

Närmare beskrivning av kursens innehåll (gäller denna kursomgång): 

This course focuses on MS methods that support
decision making under uncertainty and/or multiple objectives (see schedule for
detailed list of topics). Some required background concepts from applied
probability are also covered.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

Assignments 50%, exam 50%.

Närmare information om bedömningsgrunderna och -metoderna och om hur den studerande kan ta del av bedömningen (gäller denna kursomgång): 

Final points, which consist of exam point (50%) and assignment points (50%), determine the final grade:  >50p ->1; >60p -> 2; >70p -> 3; >80p -> 4; >90p -> 5. These bounds maybe relaxed during final grading. Moreover, at least half of the exam points are required to pass. 

There are three assignments with deadlines during the
course. Each assignment consists of 4-12 problems or cases, which usually
require the use of spreadsheets or other mathematical software to solve.

Assignments are individual work. You may discuss the
problems with your colleagues, but you must
return individual answers. Returning
a copied answer or solution is strictly forbidden. Remember that in the exam
you will need to individually solve equivalent problems.

Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

Contact teaching 36h, individual work 121h, exam 3h. Total 160h (6 ECTS).

Preciserad belastningsberäkning (gäller denna kursomgång): 

Contact teaching includes lectures, assignment demonstrations and assignment feedback.

Individual work includes class preparation (12h), work on the assignments (101h) and preparing for the exam (8h).

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

Lecture slides, articles, assignments, computer implementations of mathematical models, and the textbook (An Introduction to Management Science by Anderson et al., 2014, ISBN Code: 978-1-111-82361-0).

Närmare information om kursmaterial (gäller denna kursomgång): 

Course materials excluding the text book are distributed
in MyCourses.
These include lecture slides, additional readings, example spreadsheet implementations of mathematical models and assigments.

Kursens webbplats (är i kraft 01.08.2018-31.07.2020):

Förkunskaper (är i kraft 01.08.2018-31.07.2020): 

The course ”30A02000 Tilastotieteen perusteet" (Introduction to Statistics) and at least one of the courses ”30A03000 Talousmatematiikan perusteet" (Introduction to Business Mathematics) and ”30C00600 Tilastotieteen jatkokurssi" (Continuation course in statistics). The course “27C01000 Business Decisions 1” is highly recommended. Equivalent studies in mathematics/statistics from another school/university are also acceptable.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 


Anmälning (är i kraft 01.08.2018-31.07.2020): 

Via Weboodi

Tilläggsinformation (är i kraft 01.08.2018-31.07.2020): 

A maximum of 80 students will be admitted to the course. Priority will be given to Aalto ISM MSc students and students with strong analytical skills (see prerequisites).

Tilläggsinformation om kursen (gäller denna kursomgång): 

Register to course in MyCourses.

Närmare information om tidtabellen (gäller denna kursomgång): 

There are two sessions per week both lasting 3-4
hours. From each session about 1 hour is dedicated for working on the
assignments with the teacher present to offer guidance.

Preliminary schedule:

Week 2: Introduction, Review of probability, Monte Carlo simulation
Week 3: Decision making under uncertainty: Decision trees, Value-of-information, assessment of subjective probabilities, biases in probability estimation
Week 4: Modelling risk preferences: Expected Utility Theory (EUT), Stochastic Dominance, Risk measures
Week 5: Multi-objective decision making: Multi-attribute utility theory (MAUT), and the Analytic Hierarchy Process (AHP).
Week 6: Supporting decision making with optimization: Multi-objective and stochastic models


Anmälning och tillläggsinformation