Phd studies
Study program – Informatics
Phd studies
Study program – Informatics
Study length: 3 years (6 semesters)
Total number of ECTS: 180
This Study Program became active since the 2022/23. school year.
Note: The study program will be performed in serbian and english languages
Dictionary of terms:
-
- L – the number of classes of lectures
- RW – the number of classes of exercises
- ECTS – European Credit Transfer and Accumulation System
- Fall semester
- Spring semester
- Fall or spring semester
| 1st year | ECTS | ||
|---|---|---|---|
| L | IW | ||
| Elective course A1 | 4 | 6 | 9 |
| Elective course A2 | 4 | 6 | 9 |
| Elective course B | 4 | 6 | 9 |
| Seminar paper 1 | 0 | 2 | 3 |
| Elective course A3 | 4 | 6 | 9 |
| Elective course A4 | 4 | 6 | 9 |
| Elective course A5 | 4 | 6 | 9 |
| Seminar paper 2 | 0 | 2 | 3 |
| 60 |
| 2nd year | ECTS | ||
|---|---|---|---|
| L | IW | ||
| Elective course A6 | 4 | 6 | 9 |
| Preparation of an explanation of the topic | 0 | 15 | 21 |
| Preparation of doctoral dissertation 1 | 0 | 0 | 30 |
| 60 |
| 3rd year | ECTS | ||
|---|---|---|---|
| L | IW | ||
| Preparation of doctoral dissertation 2 | 0 | 0 | 30 |
| Preparation of doctoral dissertation 3 | 0 | 0 | 30 |
| 60 |
| List of elective courses (group A) | ECTS | |||||
|---|---|---|---|---|---|---|
| L | IW | |||||
| Bioinformatics | 4 | 6 | 9 | |||
| Selected Topics in Bioinformatics | 4 | 6 | 9 | |||
| Advanced Topics in Design and Analysis of Algorithms | 4 | 6 | 9 | |||
| Cryptography - advanced concepts | 4 | 6 | 9 | |||
| Advanced Topics in Text Algorithms | 4 | 6 | 9 | |||
| Computational complexity | 4 | 6 | 9 | |||
| Advanced Topics in Computability Theory | 4 | 6 | 9 | |||
| Advanced computer architecture | 4 | 6 | 9 | |||
| Advanced Topics in Computer Networks | 4 | 6 | 9 | |||
| Advanced Topics in Digital Image Processing | 4 | 6 | 9 | |||
| Semantics of Programming Languages | 4 | 6 | 9 | |||
| Design and Implementation of Functional Programming Languages | 4 | 6 | 9 | |||
| Advanced Topics in Formal Methods | 4 | 6 | 9 | |||
| Automated Theorem Proving | 4 | 6 | 9 | |||
| Interactive theorem proving | 4 | 6 | 9 | |||
| Selected Topics in Theoretical Computer Science | 4 | 6 | 9 | |||
| Natural Language Processing | 4 | 6 | 9 | |||
| Symbolic Computation | 4 | 6 | 9 | |||
| Swarm intelligence | 4 | 6 | 9 | |||
| Advanced Topics in Computational Intelligence | 4 | 6 | 9 | |||
| Genetic Algorithms | 4 | 6 | 9 | |||
| Advanced Topics in Databases | 4 | 6 | 9 | |||
| Theory of Databases | 4 | 6 | 9 | |||
| Advanced Topics in Data Mining | 4 | 6 | 9 | |||
| Advanced Topics in Database Design | 4 | 6 | 9 | |||
| Data mining in Bioinformatics - Advanced Topcs | 4 | 6 | 9 | |||
| Semantic Web | 4 | 6 | 9 | |||
| Information Retrieval and Web Searching | 4 | 6 | 9 | |||
| Constraint Programming | 4 | 6 | 9 | |||
| Scripting Languages and Web Development | 4 | 6 | 9 | |||
| Advanced Topics in Software Development | 4 | 6 | 9 | |||
| Advanced Topics in Compiler Construction | 4 | 6 | 9 | |||
| Advanced Topics In Programming Languages | 4 | 6 | 9 | |||
| Advanced Topics In Software Verification | 4 | 6 | 9 | |||
| Big Data Analytics | 4 | 6 | 9 | |||
| Bioinformatics Algorithms | 4 | 6 | 9 | |||
| Theory of Machine Learning | 4 | 6 | 9 | |||
| Machine Learning in Computer Vision | 4 | 6 | 9 | |||
| Reinforcement Learning | 4 | 6 | 9 | |||
| Machine Learning on Graphs | 4 | 6 | 9 | |||
| Machine Learning - Advanced Concepts | 4 | 6 | 9 | |||
| Data Classification Methods | 4 | 6 | 9 | |||
| Machine Learning in Bioinformatics | 4 | 6 | 9 | |||
| Biochemistry for Computer Scientists | 4 | 6 | 9 | |||
| Teaching Methodology in Programming - Advanced Concepts | 4 | 6 | 9 | |||
| Blockchain and Decentralized Systems | 4 | 6 | 9 |
| List of elective courses (group B) | ECTS | |||||
|---|---|---|---|---|---|---|
| L | IW | |||||
| Elective courses of group A | 4 | 6 | 9 | |||
| Elective courses from other relevant programs of the Faculty | 4 | 6 | 9 |
Адреса: Студентски трг 16, 11000 Београд
Телефон: (+381) 11 2027 855 (10-14h)
(+381) 64 8650 003 (10-14h)
Е-пошта: upis@matf.bg.ac.rs