Program Overview

Data Mining Course

The Data Mining course is a 7.5-credit continuation course at the basic level, focusing on the identification of patterns and hidden information in large datasets. The course aims to create an understanding of concepts and techniques in the field, with an emphasis on techniques and algorithms for solving business-related problems.

Course Description

Data Mining deals with the identification of patterns and hidden information in large datasets. The course aims to provide students with a comprehensive understanding of the concepts and techniques used in the field, as well as the ability to apply these techniques to solve real-world problems.

Course Details

• Period: Period 1 - 1, v. - v. , not modular
• Study Location: Luleň or distance learning
• Study Form: Full-time or part-time
• Language: English
• Compulsory Meetings: 0
• Implementation: No compulsory meetings on campus. Access to a personal computer and the possibility of installing programs are required. Internet connection (at least 0.5 Mbps) and access to a headset with a microphone and webcam are also required.

Admission Requirements

• Basic Eligibility: Completed upper secondary education or equivalent
• Specific Requirements: 60 credits in completed courses, including knowledge in programming (e.g., D0019N Programming with Java, 7.5 credits or D0024E Programming with Java II, 7.5 credits) and basics in databases (e.g., D0004N Databases I, 7.5 credits or D0018E Database Technology, 7.5 credits). Good knowledge of English equivalent to English 6/level 2

Selection

The selection is based on 1-165 credits.

Course Offerings

The course can be taken as an elective by program students at LTU. It is a compulsory course in the following programs:

• System Science, Bachelor's, term 3
• Economic Data Analysis, Master's, term 1

Registration

Registration for the course is open. Late application is possible.

Program Details

The course is part of the following programs:

• System Science, Bachelor's
• Economic Data Analysis, Master's