Course

Introduction to Data Science (DAT540)

The course will provide a knowledge and experience in data engineering tasks and will accustom students with data science project lifecycle.


Dette er emnebeskrivelsen for studieåret 2025-2026

Fakta

Emnekode

DAT540

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

Timeplan

Vis timeplan

Litteratur

Søk etter pensumlitteratur i Leganto

Content

The ability to create, manage and utilize data has become one of the most important challenges for practitioners in almost all disciplines, sectors, and industries. In this course, students become familiar with basic tools and processes used in Data Science. Students work through the whole data lifecycle from loading, through cleaning and modeling, to storing the data. The work is performed using Python stack consisting ia of: IPython, NumPy, Pandas, Matplotlib, and Jupyter Notebooks. Students learn to structure their work using CRISP-DM and Data Science Process (Ask, Get, Explore, Model, Communicate and Visualize).

Learning outcome

Knowledge :

  • Execute/Develop tools to load, parse, clean, transform, merge, reshape, and store data.
  • Compare regular Python, NumPy, and Pandas data structures and choose one for the given problem. Use the IPython shell and Jupyter notebook for exploratory computing.
  • Execute/Develop simple machine learning or data mining algorithms.

Skills:

  • Organize data analysis following CRiSP-DM and Data Science Process
  • Build engaging visualizations of data analysis using matplotlib
  • Optimize data analysis applying available structure and methods
  • Evaluate, communicate and defend results of data analysis

General qualifications :

  • Solve real-world data analysis problems following a well-structured process

Forkunnskapskrav

10 ECTS in Programming, Databases or Software Engineering related courses.

Anbefalte forkunnskaper

Introduction to Programming (DAT120), Probability and Statistics 2 (STA500)

Exam

Form of assessment Weight Duration Marks Aid
Project work in groups 3/5 Letter grades
Written exam (Multiple Choice) 2/5 3 Hours Letter grades


Written exam (multiple choice) is digital.

Project Work in Groups

The project is completed in groups. Project work is to be performed in the groups that are assigned and published. Absence due to illness or for other reasons must be communicated as soon as possible to the lecturer.

A project report, including source code, contributes to the grade.

If a student fails the project work, he/she has to take this part again the next time the subject is lectured.

Fagperson(er)

Head of Department:

Tom Ryen

Course coordinator:

Antorweep Chakravorty

Method of work

The work will consist of 6 hours of lecture, scheduled laboratory, supervised group work per week. Students are expected to spend an additional 6-8 hours a week on self-study, group discussions, and development work.

Åpent for

Admission to Single Courses at the Faculty of Science and Technology
Data Science - Master of Science Degree Programme Computational Engineering - Master of Science Degree Programme Computer Science - Master of Science Degree Programme Industrial Economics - Master of Science Degree Programme Industrial Automation and Signal Processing - Master's Degree Programme - 5 year
Exchange programme at Faculty of Science and Technology

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Kontakt

Head of Department:

Tom Ryen

Course coordinator:

Antorweep Chakravorty

Tilbys av

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

The course description is retrieved from FS (Felles studentsystem). Version 1