Computer Science and Informatics

Overview

COURSES (ECTS)

Year 1: 1st Semester

•             Scientific Methods (3)

•             Transferable Knowledge (3)

•             Elective course 1 (9)

•             Elective course 2 (9)

•             Individual Research Work (with postgraduate seminar 1; 6)

Year 1: 2nd Semester

•             Elective course 3 (9)

•             Individual Research Work 1 (21)

Electives:

•             Computational Methods for Protein Folding (9)

•             Bioinspired Algorithms (9)

•             Computer Security (9)

•             Special Topics in Evolutionary Computations (9)

•             Special Topics in Multiagent Systems (9)

•             Intelligent Data Analysis (9)

•             Efficiency in Software Engineering (9)

•             Advanced Data Protection (9)

•             Biomedical Signal Processing (9)

•             Distributed Data Storage Systems (9)

•             Mining Unstructured Data and Natural Language Processing (9)

•             Advanced Knowledge Exploration (9)

•             Experiments in Software Engineering (9)

•             Environmental Simulations Algorithms (9)

•             Special Topics in Domain Specific Languages (9)

•             Advance Approaches to Earth Observation Data Processing (9)

•             Selected Chapters from Semantic Web and Knowledge Discovery in Structured and Unstructured Sources (9)

•             Linear Algebra (9)

•             Graph Theory (9)

•             Intelligent Information Solutions (9)

•             Advanced Business Process Management (9)

•             Computer Vision and Pattern Recognition (9)

•             Complex Networks (9)

•             Selected Topics in Artificial and Computational Intelligence (9)

•             User-Centred Software Engineering (9)

•             Digital Transformation with Blockchain Technologies (9)

•             Databases (9)

•             Operational Research of Logistic, Transport, and Economic Systems (9)

•             Selected Topics in Digital Signal Processing (9)

•             Hybrid Machine Learning Methods (9)

•             Multimedia Data Processing (9)

Year 2: 3rd Semester

•             Postgraduate Seminar 2 (10)

•             Individual Research Work 2 (20)

Year 2: 4th Semester

•             Postgraduate Seminar 3 (10)

•             Individual Research Work 3 (20)

Year 3: 5th Semester

•             Individual Research Work 4 (30)

Year 3: 6th Semester

•             Elaboration and defence of doctoral dissertation (30)

Accreditation

The study programme has been accredited by the Slovenian Quality Assurance Agency for Higher Education (Slovenian abbreviation: NAKVIS; English abbreviation SQAA).