Avoimen yliopiston kurssit

Business Analytics 1

Opetusaika:

21.10.2026 – 2.12.2026

Ilmoittautumisjakso:

21.9.2026 – 24.10.2026

Opetusajankohdat:

Syksy, Päiväopetus

Opintojen muoto:

Lähiopetus

Kieli:

englanti

Taso:

Aineopinnot

Kurssikoodi:

ISM-C1004

Laajuus:

6 opintopistettä

Hinta:

120,00 €

Course information

Learning outcomes

Business Analytics refers to the use of quantitative models to help make better business decisions. This course focuses on mathematical optimization models that are commonly used in business applications. After the course the student can (i) recognize the types of real-world business decision problems where the use of these models brings added value, (ii) build and solve these models using Excel software, and (iii) interpret the results of these models to derive defensible decision recommendations.

Content

Linear and mixed-integer optimization / programming and preliminaries of non-linear and multiple objective optimization with application examples in supply chain management, production planning, finance, and marketing.

Teacher

Eeva Vilkkumaa

Study material

Lecture slides, scientific 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).

Workload

Lectures, exercise sessions, and exam. 

Prerequisites

The students are expected to have completed courses ISM-A1002 "Johdatus data-analytiikkaan" ("Introduction to data analytics") and 30A02000 "Tilastotieteen perusteet" ("Introduction to statistics"), or obtained equivalent skills from other university level courses. These skills include basics of linear algebra, multivariate functions, matrices, vectors, probability, random variables as well as good Excel skills.

Evaluation

Assignments and exam.

Teaching time and location

The teaching time and the location of the course can be found in the Sisu information system.

  1. The link leads to Completion methods tab of the course page
  2. From the top of the page (Version drop-down menu), check that the academic year 2026-2027 is selected
  3. From the blue bar, choose the right teaching and open the Groups and study events tab to see the teaching time and location of the course. To see exam times, click Exam.

Exam instructions at the Open University

The teacher has four (4) weeks to grade the exam submissions starting from the exam date.

Further information

Equivalences to other courses:
27C01000 Business Decisions 1

Online learning environment for the course  

The MyCourses online learning environment is a tool for both students and teachers for communication and managing everyday course work. You need an Aalto User ID to log in to the course's MyCourses workspace and participate in teaching.

Digital workspace of the course:
MyCourses

More details on completing the course will be available at MyCourses closer to the start of the course.

Registration and course fee

Registration for Open University courses is done via the link below: 
Course registration

Registration for this course starts on 21.9.2026 at 9.00
Registration for this course ends on 24.10.2026 at 23.59

It is not possible to register before the registration period has started or after it has ended.

The number of participants is limited to 3.

This course is organized by the Aalto University School of Business.

The course fee is paid upon registration for each course at a time and it is binding. Familiarize yourself with registration and payment rules as well as other guidelines for students:
Registration, payments and rules

Käyttäjätunnuksen aktivointi ja monivaiheinen tunnistautuminen

Käyttäjätunnuksen aktivointi ja monivaiheinen tunnistautuminen

Aalto-käyttäjätunnus on mahdollista aktivoida ilmoittautumista seuraavana päivänä ja se tulee aktivoida viimeistään päivää ennen kurssin alkua. 
Käyttäjätunnuksen aktivointi

Kun olet aktivoinut Aalto-käyttäjätunnuksen, ota käyttöön myös monivaiheinen tunnistautuminen. Osa Aalto-yliopiston palveluista vaatii monivaiheisen tunnistautumisen. 
Ohjeet monivaiheisen tunnistautumisen käyttöönottoon

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