Course - Applied Data Science - TDT4216
TDT4216 - Applied Data Science
Lessons are not given in the academic year 2020/2021
Data science comprises a significant variety of methods and technologies for mining, aggregating and analzying data.
The aim of most courses in AI is understanding the finer details of the methodological aspects. This course, however, is aimed at developing knowledge of, skills in and competance of the most used methods.
The course exploits the fact that very many business-relevant, practical problems applications of data science do not require the most sophisticated methods. Many practical problems from private and public organizations may be tackled with known methods readily available in commodified technologies in the form of open source.
Knowledge: The candidate will establish deep knowledge about the variety of data science methods, technologies and algorithms.
Skills: The candidate will gain solid skills in setting up and configuring data science tools. The candidate will develop good skills in identifying what methods are appropriate for what type of problems. The candidate will also develop good skills in preparing and pre-processing data for input.
Competence: The candidate will estabslish a compentence in the conditions for the application of selected data science methods to address business and strategica challenges.
Learning methods and activities
The course consists of lectures and project work.
The students need to complete a group-based project as well as an individual assignment. In the group project the students go through a realistic, problem-oriented analytics of the data.
The group project is develop practical skills in configuring the relavant tools/ technologies, pre-processing of data and conducting the analytics. The individual assignment discusses the group project in light of relevant literature from the courses curriculum.
The group-based project counts for 50% and the indivual assignment 50% of the evaluation. Both parts need a pass for a student to obtain a pass in the course.
The course may be lectured in English if there are students not knowledgable in Norwegian
Limited admission to classes.
Recommended previous knowledge
TDT4175 Informasjonssystemer IT3402 Design av grafiske brukergrensesnitt TDT4245 Samhandlingsteknologi og sosiale medier TDT4252 Virksomhets-arkitektur og -innovasjon.
Required previous knowledge
Information given at beginning of course
Credits: 7.5 SP
Study level: Second degree level
Language of instruction: English
- Computer and Information Science
- Computer Systems
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"