List of components and course syllabi IDA 1.4

Educational and professional program «Intelligent Data Analysis»

Field of knowledge: F – Information technology

Specialty: F1 – Applied Mathematics

Qualification: Master’s degree in applied mathematics

Guarantor of the educational program: Liubchyk Leonid Mykhailovych

n/a Title discipline The number of ECTS credits The form of final contro
1.1 General preparation
GT 1 Innovative entrepreneurship and startup project management 3 Test
GT 2 Foreign language by professional direction 3 Test
GT 3 Intellectual Property 3 Test
1.2 Special (professional) training
PT 1 Mathematical methods of machine learning 1 5 Test
PT 2 Incorrect data processing problems 5 Exam
PT 3 Mathematical methods of machine learning 2 4 Exam
PT 4 Nonlinear processes and models 4 Exam
PT 5 Metaheuristic optimization methods 4 Exam
PT 6 Basics of the scientific research 5 Test
PT Pre-diploma practice 11 Test
PT Certification 19 Defence
2 Elective educational components
2.1 Professional training
2.1.1 Profiled package of disciplines
01 “Intelligent Big Data Analysis”
 
OP1.1 Methods and technologies of working with big data 5 Exam
OP1.2 Graph data analysis 6 Exam
OP1.3 Machine Learning Engineering 5 Exam
2.1.2 Profiled package of discipline 02 “Intelligent analysis of texts and images”
OP2.1 їAnalysis and Synthesis of Natural Language Processing 5 Exam
OP2.2 Methods of signal processing 6 Exam
OP2.3 Methods of image processing 5 Exam
2.2 Disciplines of free choice of specialized training
OD2.1 Discipline of specialized training 1 4 Exam
OD2.2 Discipline of specialized training 2 4 Exam
Загальна кількість за термін підготовкиGeneral scope of the educational program 90  

Elective courses for professional training are available at the following link.