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Course unit, curriculum year 2024–2025
DATA.ML.320
Knowledge Mining and Big Data, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2024–20.10.2024)
Active in period 4 (3.3.2025–31.5.2025)
Course code
DATA.ML.320Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024, 2024–2025Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Ari VisaResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
- Concept Description
- Mining Association Rules
- Descriptive Models
- Predictive Models
Complementary knowledge
- Data preprocessing Data Generalization Summarization-Based Characterization Analyzing of Attribute Relevance
- Mining Single-Dimensional Boolean Association Rules, and Multilevel Association Rules, and Multidimensional Association Rules Correlation Analysis
- Cluster Analysis Describing Data by Probability Distributions and Densities
- Regression models Stochastic models Predictive models for classification Models for structured data
Specialist knowledge
- Parametric models Nonparametric models
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
The assignment and the final examination are required.
Completion of all options is required.
Exam
21.08.2024 – 21.08.2024
Active in period 1 (1.8.2024–20.10.2024)
07.03.2025 – 29.04.2025
Active in period 4 (3.3.2025–31.5.2025)
Participation in teaching
03.03.2025 – 30.05.2025
Active in period 4 (3.3.2025–31.5.2025)