460-4071/01 – Data Analysis I (MAD I)

Gurantor departmentDepartment of Computer ScienceCredits4
Subject guarantordoc. Mgr. Miloš Kudělka, Ph.D.Subject version guarantordoc. Mgr. Miloš Kudělka, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year1Semesterwinter
Study languageCzech
Year of introduction2015/2016Year of cancellation
Intended for the facultiesUSP, FEIIntended for study typesFollow-up Master, Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
KUD007 doc. Mgr. Miloš Kudělka, Ph.D.
OH140 RNDr. Eliška Ochodková, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2
Combined Graded credit 10+0

Subject aims expressed by acquired skills and competences

The course provides basic information about methods used for data mining and network analysis. Students will gain knowledge and skills necessary for further development in this area and the ability to apply them to simple problems. They will be able to assess the applicability of methods for different types of data and evaluate the outcomes of the application of the used methods.

Teaching methods

Lectures
Tutorials

Summary

The course is focused on basic approaches, methods, and algorithms for data mining and network analysis so that it can be applied to the individual work of students in labs. Exercises will provide space for discussion of problems, demonstration of practical tasks and practice on simple assignments.

Compulsory literature:

Presentations of lectures. Ian H. Witten, Eibe Frank , Mark A. Hall. Data Mining: Practical Machine Learning Tools and Techniques (Third Edition). The Morgan Kaufmann Series in Data Management Systems, 2011. ISBN 978-0123748560. Zaki, M. J., Meira Jr, W. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge University Press. Mark Newman. Networks: An Introduction. Oxford University Press, 2010. ISBN 978-0199206650.

Recommended literature:

Bramer, M. (2013). Principles of data mining. Springer. Leskovec, J., Rajaraman, A., Ullman, J. D. (2014). Mining of massive datasets. Cambridge University Press.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

No others requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Data for data mining, types and sources of data 2. Attributes and their types, sparse data, incomplete and inaccurate data 3. Algebraic and geometric interpretation of data 4. Probabilistic interpretation of data 5. Numerical and categorial attributes, the basic analytical approaches 6. Data mining, pre-processing and data cleaning 7. Data representation 8. Foundations of data analysis (classification, clustering) 9. Networks and their properties 10. Types of networks and their representation 11. Basic measures and metrics 12. Structure and global properties of networks 13. Basic data structures for network representation 14. Basic algorithms for network analysis

Conditions for subject completion

Full-time form (validity from: 2015/2016 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100 (100) 51
        Průběžná aktivita Other task type 36  19
        Prezentace Other task type 20  10
        Implementace Other task type 24  12
        Analýza dat Other task type 20  10
Mandatory attendence parzicipation: Hundred percent participation in the labs is required except for a doctor-confirmed disease.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P Czech Ostrava 1 Optional study plan
2019/2020 (N2647) Information and Communication Technology (1801T064) Information and Communication Security P Czech Ostrava 1 Compulsory study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Choice-compulsory study plan
2019/2020 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K Czech Ostrava 1 Optional study plan
2019/2020 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Choice-compulsory study plan
2019/2020 (N0541A170007) Computational and Applied Mathematics (S01) Applied Mathematics P Czech Ostrava 1 Optional study plan
2019/2020 (N0541A170007) Computational and Applied Mathematics (S02) Computational Methods and HPC P Czech Ostrava 1 Optional study plan
2019/2020 (N0541A170007) Computational and Applied Mathematics (S01) Applied Mathematics K Czech Ostrava 1 Optional study plan
2019/2020 (N0541A170007) Computational and Applied Mathematics (S02) Computational Methods and HPC K Czech Ostrava 1 Optional study plan
2019/2020 (N0612A140004) Information and Communication Security P Czech Ostrava 1 Compulsory study plan
2018/2019 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P Czech Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (1801T064) Information and Communication Security P Czech Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Choice-compulsory study plan
2018/2019 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K Czech Ostrava 1 Optional study plan
2018/2019 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Choice-compulsory study plan
2018/2019 (N2658) Computational Sciences (2612T078) Computational Sciences P Czech Ostrava 1 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P Czech Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K Czech Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (1801T064) Information and Communication Security P Czech Ostrava 1 Optional study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Choice-compulsory study plan
2017/2018 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Choice-compulsory study plan
2017/2018 (N2658) Computational Sciences (2612T078) Computational Sciences P Czech Ostrava 1 Choice-compulsory study plan
2016/2017 (N2658) Computational Sciences (2612T078) Computational Sciences P Czech Ostrava 1 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P Czech Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K Czech Ostrava 1 Optional study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Choice-compulsory study plan
2016/2017 (N2647) Information and Communication Technology (1801T064) Information and Communication Security P Czech Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (1103T031) Computational Mathematics P Czech Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (1103T031) Computational Mathematics K Czech Ostrava 1 Optional study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology P Czech Ostrava 1 Choice-compulsory study plan
2015/2016 (N2647) Information and Communication Technology (2612T025) Computer Science and Technology K Czech Ostrava 1 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner