Credits: 6

Schedule: 28.10.2019 - 11.12.2019

Teacher in charge (valid 01.08.2018-31.07.2020): 

Juuso Liesiö

Teaching Period (valid 01.08.2018-31.07.2020): 

Period II (2018-2019) Otaniemi campus

Period II (2019-2020) Otaniemi campus

Learning Outcomes (valid 01.08.2018-31.07.2020): 

Management Science deals with the use of analytical models to help make better business decisions. This course focuses on optimization models that are commonly used in business applications. 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.

Content (valid 01.08.2018-31.07.2020): 

Linear programming, network and distribution models, integer linear programming, mixed-integer linear programming, non-linear programming.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

Assignments 50%, exam 50%.

Workload (valid 01.08.2018-31.07.2020): 

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

Study Material (valid 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).

Course Homepage (valid 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=27C01000

Prerequisites (valid 01.08.2018-31.07.2020): 

Basic knowledge on multivariate equations and functions.

Grading Scale (valid 01.08.2018-31.07.2020): 

0-5

Registration for Courses (valid 01.08.2018-31.07.2020): 

Via WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

A maximum of 100 students will be admitted to the course. Priority will be given to Aalto ISM students.

Description

Registration and further information