Complex exam

Complex exam

All PhD students must attend the complex exam (comprehensive examination) at the end of their 4th active semester.

Application deadline: October 31 (autum semester) and 31 March (spring semester).

Conditions to apply:

-120 credits fulfilled by the end of the 4th semester (see the curriculum for more details)
-attended 1 complex exam preparatory course

How to apply? Please bring the following documents to Phd office (room 2.317):

-filled application form
-request regarding the chosen subjects
-supervisor’s recommendation (the supervisor will submit it)

The complex exam:

-is a comprehensive evaluation of the student’s knowledge acquired in the training and research phase of the doctoral programme, and the student’s preparedness for the research and dissertation phase.
-shall be taken in public, in front of an exam committee. The committee shall consist of at least three members.
-has 2 main parts:
 1.) Theoretical part- oral exam from the 2 chosen subjects (20 minutes each)
 2.) Dissertation part- the examinee presents his/her research (20 minutes)
 
If the student fails at the chosen subject(s), and/or the dissertation part, the compex exam can be retaken in the same examination period.
 
Only students who pass the complex exam are entitled to continue their studies.
Students who fail the complex exam will lose their student status at the end of the examination period.

 

Title File name Last modified Size
Title File name Last modified Size
1. Databases, knowledge bases, information systems (main subject) 1. Databases, knowledge bases, information systems (main subject).pdf 17.04.2018. 474.35 KB
4. Fourier analysis and its applications (main subject) 4. Fourier analysis and its applications (main subject).pdf 17.04.2018. 116.85 KB
5. IT security (main subject) 5. IT security (main subject).pdf 17.04.2018. 11.51 KB
7. Artificial intelligence (main subject) 7. Artificial intelligence (main subject).pdf 17.04.2018. 7.07 KB
14. Theoretical foundations of computer science (main subject) 14. Theoretical foundations of computer science (main subject).pdf 17.04.2018. 8 KB
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a14. Mathematical logic (recommended subject) a14. Mathematical logic (recommended subject).pdf 17.04.2018. 5.17 KB
a15. Neural Computing (recommended subject) a15. Neural computing (recommended subject).pdf 17.04.2018. 10.63 KB
a16. Programming technology (recommended subject) a16. Programming technology (recommended subject).pdf 17.04.2018. 113.86 KB
a17. Temporal logic (recommended subject) a17. Temporal logic (recommended subject).pdf 17.04.2018. 4.86 KB
a10. Information theory and coding (recommended subject) a10. Information theory and coding (recommended subject).pdf 20.04.2018. 127.22 KB
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16. Computer systems (main subject) 16. Computer systems (main subject).pdf 24.05.2019. 115.18 KB
a2. Data structures and algorithms (recommended subject) a2.Data structures and algorithms (recommended subject).pdf 28.05.2019. 69.18 KB
9. The Teaching Methodology of Information Technology (main subject) 9. The Teaching Methodology of Information Technology (main subject).pdf 28.05.2019. 546.05 KB