CS-C3250 - Data Science Project, Lecture, 13.9.2021-9.12.2021

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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 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: 13.09.2021 - 09.12.2021

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 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

  • valid for whole curriculum period:

    Project work, its documentation and presentation, peer opinions.

Workload

  • valid for whole curriculum period:

    lectures, supervised group meetings, group and individual work, excursions to companies, final presentations in companies

DETAILS

Study Material

  • valid for whole curriculum period:

    Online books and other materials.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    The course is targeted to the students of the Data Science BSc major. Data Science minor students may be accepted upon request.

    Teaching Period:

    2020-2021 Autumn I-II

    2021-2022 Autumn I-II

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=CS-C3250

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

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Aalto University Code of Academic Integrity and Handling Violations Thereof