Introduction to Pattern Recognition

Course title

Code

F18L3W089

Study programme

—

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

Faculty of Computer Science and Engineering

Degree level (first, second, third cycle)

First cycle

Academic year / semester

7 / Winter

Number of ECTS credits

Teacher

—

Prerequisites for enrolling in the course

Машинско учење

10.

Course objectives (competences)

To introduce the students to the basic concepts of the methods and techniques of pattern recognition. Upon completion of the course the students will be able to design, implement and effectuate systems for automatic pattern recognition, their performance evaluation and optimization.

11.

Course content

Introduction to the problem of pattern recognition. Machine perception. Components of pattern recognition system. Types of features, feature extraction, selection and generation. Bayes classifiers, linear classifiers, non-linear classifiers. Methods for unsupervised learning. Design and implementation of pattern recognition system. Evaluating system performance. Systems for identification and authentication, for medical diagnosis, defence, bioinformatics, recognition of texts, handwriting, fingerprint, biometric data, speech recognition, text classification, etc.

12.

Learning methods

lectures, classroom exercises, laboratory exercises, project assignments, homework

13.

Total available time

6 ECTS x 30 hours = 180 hours

14.

Distribution of the available time

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.	Lectures – theoretical teaching	30 hours
15.2.	Exercises (laboratory, auditory), seminars, team work	45 hours

16.

Other forms of activities

16.1.	Project assignments	15 hours
16.2.	Individual assignments	15 hours
16.3.	Home study	75 hours

17.

Grading

17.1.	Tests	10 points
17.2.	Seminar paper / project (presentation: written and oral)	15 points
17.3.	Activity and participation	10 points
17.4.	Final exam	70 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)

19.

Requirements for signature and taking the final exam

Completed activities 15, 16

20.

Language of instruction

Macedonian and English

21.

Method of monitoring teaching quality

internal evaluation and surveys

22.

Literature