Subject

Data mining

Course Title

Data mining
Data mining

Code

F18L3S150

Study Programme

—

Organizer of the study programme (unit, institute, department or division)

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First Cycle

Academic year / semester

6 / Summer

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

(Probability and Statistics or Business Statistics) or Databases

10.

Objectives of the course programme (competences)

Introduction to methods for identifying valid, novel, useful, and understandable patterns in data and for discovering new knowledge. Data preprocessing. Introduction to predictive data models: classification, regression, and probability estimation. Cluster detection and association rule discovery.

11.

Course content

Introduction. Data Preprocessing. Data Mining Algorithms: Classification algorithms, predictive algorithms, association algorithms, and clustering algorithms. Methods for analyzing and comparing knowledge discovery models. All algorithms are implemented on appropriately selected datasets.

12.

Learning methods

lectures, classroom exercises, laboratory exercises, project assignments, homework, development of a software package with data mining methods

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of available time

30 + 45 + 0 + 30 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures - theoretical instruction	30 hours
15.2.	Exercises (laboratory, auditory), seminars, teamwork	45 hours

16.

Other forms of activities

16.1.	Project assignments	30 hours
16.2.	Independent assignments	0 hours
16.3.	Home study	75 hours

17.

Assessment method

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	30 points
17.3.	Activities and learning	10 points
17.4.	Final exam	60 points

18.

Grading criteria (points / grade)

up to 50 points	5 (five) (F)
from 51 to 60 points	6 (six) (E)
from 61 to 70 points	7 (seven) (D)
from 71 to 80 points	8 (eight) (C)
from 81 to 90 points	9 (nine) (B)
from 91 to 100 points	10 (ten) (A)