Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After completing the course, students will understand the basic principles of predictive modeling and gain experience in using data analytic tools that are widely used in companies.

Credits: 6

Schedule: 06.09.2022 - 18.10.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Pekka Malo, Antti Suominen, Philipp Back

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Fundamental concepts in predictive analytics, classification and association mining, model evaluation, use of programming (e.g., python or R), visiting lectures, project work.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    To be defined in course syllabus (pdf).

Workload
  • valid for whole curriculum period:

    To be defined in course syllabus (pdf).

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 I
    2023-2024 I

    Enrollment :

    The selection is made by Sisu automatically based on the priority groups.

    The priority for the student selection is as follows:

    1. Aalto ISM MSc students.

    2. Students in Master’s Programme in ICT Innovation (EIT digital).

    3. Bachelor’s students in Business with 150 credits complete.

    4. Other Aalto students.