LEARNING OUTCOMES
After the course, you can work as a data scientist in a team. You understand the structure and technical and non-technical challenges of data science projects. Furthermore, you learn to apply data analysis tools in a real-world data analysis project. Finally, you learn to document your project work and its outcomes, and to present its results and conclusions thereof both in writing and verbally.
Credits: 5
Schedule: 02.09.2024 - 28.11.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Jorma Laaksonen
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:
The course consists of a data science project which is done in a small group under supervision of a data science expert from industry or academia. The activities include project management, requirement specification, design, coding, data collection and curating, experimenting, documenting, and presenting.
Assessment Methods and Criteria
valid for whole curriculum period:
Project work, its documentation and presentation, peer opinions, active participation in teaching.
Workload
valid for whole curriculum period:
Lectures, supervised group meetings, group and individual work, excursions to companies, final presentations.
DETAILS
Study Material
valid for whole curriculum period:
Online books and other materials.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
1 No Poverty
2 Zero Hunger
3 Good Health and Well-being
4 Quality Education
5 Gender Equality
6 Clean Water and Sanitation
7 Affordable and Clean Energy
8 Decent Work and Economic Growth
9 Industry, Innovation and Infrastructure
10 Reduced Inequality
11 Sustainable Cities and Communities
12 Responsible Production and Consumption
13 Climate Action
14 Life Below Water
15 Life on Land
16 Peace and Justice Strong Institutions
17 Partnerships for the Goals
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I - II
2025-2026 Autumn I - IIRegistration:
The course is primarily for the students of the Data Science major in Aalto Bachelor's Programme in Science and Technology. Other B.Sc. students can be accepted depending on the circumstances.