Hatvany József Doctoral School for Computer Science and Engineering

The doctoral school offers the opportunity to pursue a doctoral degree to those with a master’s degree who are interested in research and development in applied and theoretical computer science. For this purpose, the most relevant master programs in the faculty are Computer Science Engineering, Production Information Engineering, Electrical Engineering, and Logistics Engineering.

The doctoral school deals with three main topic areas:

- Applied Computer Science;

- Information Science for Production Engineering (including measuring and control systems) ;

- Material Flow Systems (information technology for logistics).

The doctoral program can be undertaken a course-based structure or independently.

The Department of Information technology and the Department of Applied Mathematics & Analysis supervise Applied Computer Science area.

The Department of Information Engineering, and the Department of Automation & Electrical and Electronic Engineering are responsible for Information Science for Production Engineering area.

Furthermore, Material flow Systems area is the responsibility of the Department of Materials Handling and Logistics.

Ph.D. candidates who are interested in dealing with the programs mentioned above at the József Hatvany Doctoral School For Computer Science and Engineering are required to fulfill the theoretical basics, which are necessary and fundamental to pursue with the research work as their professional task. The potential candidates might accomplish the doctoral study in four years time which accounts for eight semesters.

During the training and research period in the first four semesters the PhD student participates in theoretical and practical training related to the selected research topic, collects information in order to establish the topic of the dissertation and performs literature review. Hereby, the doctoral student can create the basic conditions for his original research with new scientific results, and makes substantive research work with the research infrastructure. The PhD student presents his results in the reporting system of the Doctoral School and in the publicly available publication possibilities.

Therefore in this training and research part the obtainable credits can be connected to these activities. In the following subchapters the details of this system are described according to the main scope of the activities.

The doctoral program is a 4-year program consisting of two periods both having a length of two years. The first two years stage (study-research phase) is a course-based period; the students must take courses to acquire the professional knowledge in Information Science and Mathematics. At the end of the study-research phase, there is a Complex Exam. During the four study-research semesters, students should acquire 95 credits to be able to take the complex exam. The exam relates to two selected courses passed by the student, to the research activity of the first period and the proposed research plan of the second period. The second period of the program is devoted to the research activity. In the second phase, the research - dissertation period, the main goal is to publish high-quality papers on the selected research work.

Participation in education It is recommended in the first four semesters. The departments cannot require more than 4 contact lessons per week. If the PhD student would be involved in more teaching activity the supervisor should discuss it with the head of the topic group and topic field, and the permission of the Council of the Doctoral School is necessary. This educational activity should be based on contract.

Course list

The students have to take up an elective course-unit consisting of four major subjects, where after passing the exams they can acquire the professional knowledge in information science and Mathematics. Furthermore, students should complete the selective subject (minimum two) during the study period. Minimum 8 subjects have to be taken. (It depends on the previous trainings and the selected topic. The Council of the Doctoral School may require further subjects if the supervisor, the head of the topic group or the topic field propose.)

Based on the requirement of the chosen course, further theoretical foundation subjects can be taken up within or in addition to the block called Optional Subjects (minimum two).

The students are required to take optional fundamental subjects from the offered list for their interested topic, and to pass exams. It gives a chance to the potential students to acquire the theoretical knowledge of the chosen (research) area in the application.

The other complementary sub-task, which is so important, is to publish and develop the research work which the candidate has achieved during the academic period.

The attendance of the PhD students is obligatory during the regular Research Seminars organized by the Doctoral School. After the elaboration of the professional materials determined by the supervisor the doctoral student presents the results in the Seminar, focusing on the main objectives and their critical analysis, including the future steps, too. The PhD student has to make minimum 2, maximum 4 research seminar reports in the four semesters of the training and research period

Credit rules*

The doctoral students should attain 240 credit points, which are as follows.

40 credit points – acquiring mandatory studies (5 credits for one subject),
Minimum 50 credit points for publications,
Minimum 20 credit points for scientific research works,
Maximum 20 credit points for teaching activities, lecturing,
Minimum 20 credit points for conference presentations,
25 credit points for passing the Complex exam.

*The students should refer to the Table of Credit points policy and rules attached to this documents concerning the fulfillment of 240 credit points.

Important remark: All the accepted publications must be registered/recorded in the Hungarian MTMT information system (URL: www.mtmt.hu). Otherwise, the doctoral school committee can not recognize them as an accomplishment for the required credit points.

The quality requirements of the publications for the doctoral degree are as follows:

Minimum 2 scientific journal papers where the D. candidate is the first author,
Minimum one journal paper is having a Q3 ranking (SCImago ranking).

Credits from publications and professional lectures

Type of the publication	PhD program
Book
published in abroad	25 credits
published in Hungary in foreign language	20 credits
published in native language:	15 credits
Book chapter	3-6 credits
Article in edited book	4 credits
University educational book	4 credits
University study-aid	2 credits
Journal article
Journal paper in foreign language referred by Scopus, Web of Science	12 credits
Peer-reviewed journal paper in foreign language published in abroad	9 credits
Peer-reviewed journal paper in foreign language published in Hungary	7 credits
Peer-reviewed journal paper in native language	4 credits
In case of journals with impact factor	+2 credits
Conference proceedings in foreign language
Peer-reviewed proceeding published in abroad	7 credits
Peer-reviewed proceeding published in Hungary	5 credits
Peer-reviewed proceeding in native language	3 credits
Research report if the candidate is the topic leader	2 credits
Professional scientific lectures, posters
In foreign language	4 credits
In native language	3 credits
Patent
Submitted
Foreign patent	7 credits
National patent	5 credits
Accepted
Foreign patent	12 credits
National patent	9 credits
In case of more countries further	+2 credits

The credits for software, design, instrument, equipment etc. are determined by Council of the Doctoral School. In case of co-authors the credits are shared in the rate of authors. (The supervisor should not be considered within the co-authors).

Course LIST

Hatvany József Doctoral School for Computer Science and Engineering

Area codes: A: Theoretical Foundations, SZT: Applied Computer Science, TR: Information Science for Production Engineering, LR: Material Flow Systems

Area

NEPTUN Code

Title

Institute

GEMAN401

Discrete Mathematics I

Mathematics

GEMAK416

Theory of Algorithms

Mathematics.

GEMAN421

Matchematical Logic with Applications

Mathematics

GEIAL401

Paradigms of Programming

Informatics

SZT

GEMAN411

Differential and Integral Equations

Mathematics

SZT

GEIAL424

Ontology Management Systems

Informatics

SZT

GEMAK409

Paralel algorithms

Mathematics

SZT

GEMAK406

Complexity of Algorithms

Mathematics

SZT

GEMAN403

Discrete Mathematics II

Mathematics

SZT

GEMAN402

Modern Analysis

Mathematics

SZT

GEMAK411

Numerical Methods I

Mathematics

SZT

GEIAL421

Theory and technology of data mining

Informatics

SZT

GEIAL407

Distributed and Parallel Systems

Informatics

SZT

GEMAN422

Lattices, Concept Lattices and Fuzzy Systems

Mathematics

SZT

GEAGT401

Computer aided curve and surface modelling

Ábrázoló Geom.

SZT

GEIAL403

Operating Systems

Informatics

SZT

GEMAK404

Information and Coding Theory

Mathematics

SZT

GEMAK413

Optimization Theory

Mathematics

SZT

GEMAK412

Numerical methods II.

Mathematics

SZT

GEAHT411

Numerical Methods in Fluid and Heat Engineering

Fluid and Heat Engineering

SZT

GEFIT411

Computer Simulation of Physical Processes

Physics

SZT

GEVGT425

Optimization of Structures

Chemical Machinery

SZT

GEMAN424

Methods for Differential Equations

Mathematics

SZT

GEMAN425

Methods for Nonlinear Differential Equations

Mathematics

SZT

GEMAN426

Numerical Methods for Differential Algebraic Equations

Mathematics

SZT

GEIAL402

Distribuited Algorithms

Informatics

SZT

GEIAL415

Grid Systems

Informatics

SZT

GEMAK414

Stochastic Methods

Mathematics

SZT

GEIAKX1

Programming of Graphical Processors

Informatics

SZT

GEIALX1

Graphical Algorithms in Game Development

Informatics

SZT

GEIAL432

Soft Computing

Informatics

SZT

GEIAL481

Nature Inspired Optimization Methods

Informatics

SZT

GEIAL??

Szoftver Defined Networks

Informatics

SZT

GEIAK433

Knowledge Representation and Reasoning Methods of Expert Systems

Informatics

SZT

GEVGT990N

Methodology of Publicaton Process

Chemical Machinery

SZT

GEMAK420

Cryptography

Mathematics

SZT

GEIAL456

Fuzzy Systems

Informatics

GEIAK401

Theory of Manufacturing Processes and Systems

Informatics

GEIAK405

Principles, Models and Methods in Computer Integrated Manufacturing

Informatics

GEIAK406

Computerized Production Planning and Control

Informatics

GEIAK407

Theory of Computer Aided Production Control

Informatics

GEIAK403

Modelling of Manufacturing Processes

Informatics

GEIAK408

Numerical Control of Machine Tools

Informatics

GEIAK415

Computer optimisation of gears mating

Informatics

GEVAU401

Information Systems in Control Engineering

Aurtomation Technology

GEVAU415

Telecommunication in Control Systems

Aurtomation Technology

GEVAU460

Embedded Systems and Architektures

Aurtomation Technology

GEVAU413

System on chip design and modelling methods

Aurtomation Technology

GEVAU404

Speech Information Systems

Aurtomation Technology

GEVAU402

Intelligent Controlling

Aurtomation Technology

GEVEE405

Elekt Electronic systems and metrology

Electrical Engineering.

GEVEE412

Computer aided measurement systems

Electrical Engineering.

GEVEE413

Computer aided electronic design

Electrical Engineering.

GEVEE414

Electromagnetic Compatibility (EMC)

Electrical Engineering.

GEVEE415

Power Electronics

Electrical Engineering.

GEVEE416

Electric Servo Drives

Electrical Engineering.

GEVEE417

Electrical modeling and simulation

Electrical Engineering.

GEALT408

Theory of Material Handling Systems