Program Overview

Business Analytics 1

Course Schedule

The course is scheduled to take place from 21.10.2025 to 4.12.2025.

Registration Period

Registration for the course is open from 22.9.2025 to 13.10.2025.

Teaching Time and Form of Study

The course will be taught during the autumn, daytime, and will involve contact teaching.

Language and Level

The course will be conducted in English and is classified as an intermediate-level course.

Course Code and Credits

The course code is ISM-C1004, and it is worth 6 ECTS credits.

Fee

The course fee is 120.00 .

Course Information

Learning Outcomes

Upon completing the course, students will be able to:

• Recognize the types of real-world business decision problems where the use of mathematical optimization models brings added value.
• Interpret the results of these models to derive defensible decision recommendations.
• Build and solve these models using relevant software to support business decision making.

Content

The course will cover linear, mixed-integer, non-linear, and multiple objective optimization/programming models, with application examples in supply chain management, production planning, finance, and marketing.

Teacher

The course will be taught by Juuso Liesi—.

Study Material

The study materials will include 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--0).

Workload

The course will consist of lectures, exercise sessions, and an exam.

Prerequisites

Recommended prerequisites include completing courses ISM-A1002 "Introduction to Data Analytics" and 30A02000 "Introduction to Statistics," or obtaining equivalent skills from other university-level courses. These skills should include basics of linear algebra, multivariate functions, matrices, vectors, probability, random variables, and good Excel skills. Previous experience in programming with a modern language (Python, R, Java) will be useful.

Evaluation

Student performance will be evaluated based on assignments and an exam.

Teaching Time and Location

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

Registration and Course Fee

Registration for the course is done via the Open University course registration link. The registration period starts on 22.9.2025 at 9:00 and ends on 13.10.2025 at 23:59. The course fee is paid upon registration and is binding.

Activating Aalto ID and Multifactor Authentication

Students can activate their Aalto User ID the day after registration and should do so no later than the day before the course starts. Multifactor authentication should also be enabled, as some Aalto University services require it.

Studying at the Open University

Detailed information about studying at the Open University, including individual study arrangements for health reasons, navigating campus facilities, and other useful information, can be found on the Studying at the Open University page.

Individual Study Arrangements at the Open University

Open University students are entitled to receive reasonable, individual study arrangements due to an impairment restricting their ability to study or other health conditions.

How to Get an Access Token and Access Rights

Instructions on how to proceed when needing an access token and access rights on the Aalto University campus located in Otaniemi can be found online.

Campus Maps, Addresses, and Opening Hours in Otaniemi

Practical information on campus maps, addresses, opening hours, restaurants, and the Aalto Space mobile app can be found online.

Open University Contact Details

Contact details for Open University services and personnel can be found online.

Note

The registration period for this course has closed.