Computer Science and Engineering
The scientific name sthe qualification the student obtains upon completion of the study programDoctor of Technical and Technological Sciences, specialty in Computer Science and Engineering (PhD in technical sciences in the field of computer science and engineering)
The elaboration for the doctoral studies in Computer Science and Engineering can be found at the following link.
Structure of the Study Program
| Structure of the Doctoral Study Program | |||||
| semester | RB or code | Title of the subject/activity | Type of item / activity (mandatory / optional) | Number of ECTS credits | Subject/Activity Affiliation in accordance with the ZVO |
| First semester | Ethics in scientific research in the field | mandatory | 3 | academic training | |
| Methodology of scientific research in the field | mandatory | 3 | academic training | ||
| Subject for acquiring generic knowledge and research skills (according to the regulations) | electoral | 6 | academic training | ||
| Course from the study program for acquiring advanced knowledge | electoral | 6 | academic training | ||
| Course from the study program for acquiring advanced knowledge | electoral | 6 | academic training | ||
| Course from the study program for acquiring advanced knowledge | electoral | 6 | academic training | ||
| TOTAL: | 30 | ||||
| Second semester | Course from the study program for acquiring advanced knowledge | electoral | 6 | academic training | |
| Course from the study program for acquiring advanced knowledge | electoral | 6 | academic training | ||
| Research work under mentorship (preparation of a doctoral project proposal) | mandatory | 14 | Independent research project under supervision (doctoral project) | ||
| First Annual Conference | mandatory | 4 | Lectures and other types of communication activities | ||
| TOTAL: | 30 | ||||
| Third semester | Proposed Doctoral Project | mandatory | 27 | Independent research project under supervision (doctoral project) | |
| First Doctoral Seminar | mandatory | 3 | Lectures and other types of communication activities | ||
| TOTAL: | 30 | ||||
| Fourth semester | Dissertation Writing | mandatory | 20 | Preparation and public defense of the doctoral dissertation based on the doctoral project. | |
| International mobility | mandatory | 6 | International mobility | ||
| Second Annual Conference | mandatory | 4 | Lectures and other types of communication activities | ||
| TOTAL: | 30 | ||||
| Fifth semester | Activities for publishing two papers in a peer-reviewed scientific journal. | mandatory | 20 | Publication in peer-reviewed scientific journals and active participation in international conferences related to the doctoral dissertation. | |
| Participation in an international gathering | mandatory | 7 | Publication in peer-reviewed scientific journals and active participation in international conferences related to the doctoral dissertation. | ||
| Final doctoral thesis | mandatory | 3 | Publication of a final doctoral dissertation | ||
| TOTAL: | 30 | ||||
| Total credits 150 | |||||
Elective courses for acquiring generic knowledge and research skills from the university's list of elective courses for third-cycle studies.
| Right-back | Code | Subject Title | Semester | ECTS | Academic field to which the elective course belongs |
|---|---|---|---|---|---|
| 1 | KNI-G2 | Management of scientific research projects | I | 6 | Computer Science and Engineering |
| 2 | KNI-G3 | Writing a scientific research paper | I | 6 | Computer Science and Engineering |
Elective courses for the Computer Science and Engineering degree program.
|
Right-back |
Code |
Title on the subject |
Samester |
ECTS |
Academic field to which the elective course belongs |
|
1 |
KNI-S40 |
Adaptive and Interactive Web Information Systems |
I or II |
6 |
Computer Science and Engineering |
|
2 |
KNI-S25 |
Bayesian Data Analysis |
I or II |
6 |
Computer Science and Engineering |
|
3 |
KNI-S1 |
Visualization of information |
I or II |
6 |
Computer Science and Engineering |
|
4 |
KNI-S28 |
Introduction to Dynamic Systems and Control |
I or II |
6 |
Computer Science and Engineering |
|
5 |
KNI-S7 |
Business intelligence |
I or II |
6 |
Computer Science and Engineering |
|
6 |
KNI-S23 |
Ecological Modelling |
I or II |
6 |
Computer Science and Engineering |
|
7 |
KNI-S22 |
Intelligent software algorithms |
I or II |
6 |
Computer Science and Engineering |
|
8 |
KNI-S8 |
Cognitive robotics |
I or II |
6 |
Computer Science and Engineering |
|
9 |
KNI-S19 |
Computer vision |
I or II |
6 |
Computer Science and Engineering |
|
10 |
KNI-S4 |
Mathematical biology |
I or II |
6 |
Computer Science and Engineering |
|
11 |
KNI-S20 |
Soft calculation |
I or II |
6 |
Computer Science and Engineering |
|
12 |
KNI-S5 |
Networks |
I or II |
6 |
Computer Science and Engineering |
|
13 |
KNI-S32 |
Network Science |
I or II |
6 |
Computer Science and Engineering |
|
14 |
KNI-S12 |
Advanced wireless networks |
I or II |
6 |
Computer Science and Engineering |
|
15 |
KNI-S38 |
Advanced concepts in smart financial systems |
I or II |
6 |
Computer Science and Engineering |
|
16 |
KNI-S2 |
Advanced User Interfaces |
I or II |
6 |
Computer Science and Engineering |
|
17 |
KNI-S35 |
Advanced methods based on approximate computation |
I or II |
6 |
Computer Science and Engineering |
|
18 |
KNI-S15 |
Advanced Mobile Information Systems |
I or II |
6 |
Computer Science and Engineering |
|
19 |
KNI-S16 |
Advanced Multimedia Information Systems |
I or II |
6 |
Computer Science and Engineering |
|
20 |
KNI-S14 |
Advanced Chapters on Distance Learning Support Systems |
I or II |
6 |
Computer Science and Engineering |
|
21 |
KNI-S30 |
Advanced techniques for mining massive datasets |
I or II |
6 |
Computer Science and Engineering |
|
22 |
KNI-S27 |
Advanced Topics in Data Science |
I or II |
6 |
Computer Science and Engineering |
|
23 |
KNI-S33 |
Advanced Cloud Techniques |
I or II |
6 |
Computer Science and Engineering |
|
24 |
KNI-S18 |
New trends in internet technology |
I or II |
6 |
Computer Science and Engineering |
|
25 |
KNI-S6 |
Discovering knowledge in data |
I or II |
6 |
Computer Science and Engineering |
|
26 |
KNI-S3 |
Computational paradigms in bioinformatics |
I or II |
6 |
Computer Science and Engineering |
|
27 |
KNI-S37 |
Data collection, preprocessing, and fusion |
I or II |
6 |
Computer Science and Engineering |
|
28 |
KNI-S24 |
Spatiotemporal analyses with GIS |
I or II |
6 |
Computer Science and Engineering |
|
29 |
KNI-S26 |
Processing and recognition of image and video content |
I or II |
6 |
Computer Science and Engineering |
|
30 |
KNI-S9 |
Semantic Web and Semantic Web Services |
I or II |
6 |
Computer Science and Engineering |
|
31 |
KNI-S13 |
Service-Oriented Architectures |
I or II |
6 |
Computer Science and Engineering |
|
32 |
KNI-S29 |
Scalable search and classification of images and videos |
I or II |
6 |
Computer Science and Engineering |
|
33 |
KNI-S10 |
Modern Methods for Parallel Processing |
I or II |
6 |
Computer Science and Engineering |
|
34 |
KNI-S36 |
Modern Machine Learning Methods |
I or II |
6 |
Computer Science and Engineering |
|
35 |
KNI-S34 |
Statistical techniques in robotics |
I or II |
6 |
Computer Science and Engineering |
|
36 |
KNI-S21 |
Software Development Topics |
I or II |
6 |
Computer Science and Engineering |
|
37 |
KNI-S11 |
E-business technologies |
I or II |
6 |
Computer Science and Engineering |
|
38 |
KNI-S39 |
Transparent, interpretable, and explainable artificial intelligence |
I or II |
6 |
Computer Science and Engineering |
|
39 |
KNI-S17 |
Learning and Interaction in Multi-Agent Systems |
I or II |
6 |
Computer Science and Engineering |
|
40 |
KNI-S31 |
Learning with structured data |
I or II |
6 |
Computer Science and Engineering |
|
41 |
KNI-S41 |
Federated machine learning |
I or II |
6 |
Computer Science and Engineering |
By agreement with the mentor, the student may also select courses from the Informatics doctoral program.
For more information, please contact the head of the study program, Prof. Dr. Slobodan Kajaldjiski, at e-mail. slobodan.kalajdziski@finki.ukim.mk
