Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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.
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.
Schedule: 07.09.2020 - 03.12.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Jorma Laaksonen
Teacher in charge (applies in this implementation): Jorma Laaksonen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
The course consists of a data science project which will be done in a small group for a real client from the industry or academia. The activities include project management, requirement specification, design, coding, data collection and curating, experimenting, documentation, and presenting.
Assessment Methods and Criteria
Project work, its documentation and presentation, peer opinions.
lectures, supervised group meetings, group and individual work, excursions to companies, final presentations in companies
Online books and other materials.
Substitutes for Courses
Substitutes course CS-C3230 Data Science project.
CS-A1110 Programming 1, CS-A1120 Programming 2, CS-A1140 Data Structures and Algorithms, CS-A1150/CS-A1153 Databases, CS-C3240 Machine Learning (or CS-C3160 Data Science) and at least 90 credits of bachelor studies.
- Teacher: Jorma Laaksonen