Program

 of the Doctoral School of Information and Biomedical Technologies 

Polish Academy of Sciences (TIB PAN) 

run by  
the Systems Research Institute PAS,  
the Nalecz Institute of Biocybernetics and Biomedical Engineering PAS,  
the Institute of Theoretical and Applied Informatics PAS,  
the Mossakowski Medical Research Centre PAS,  
the Institute of Computer Science PAS  
and the Institute of Fundamental Technological Research PAS 

in collaboration with 

the Research And Academic Computer Network – National Research Institute (NASK-PIB) 

General provisions 

1. Each doctoral student carries out a study program and an individual research plan under the supervision of the scientific advisor or advisors. The curriculum and the individual research plan are carried out within two thematic blocks: information technologies and cybersecurity as well as biomedical engineering and medical sciences. Doctoral students of the TIB PAN Doctoral School are entitled to participate in all classes offered in a given semester, regardless of the thematic block to which they were assigned. 
2. The curriculum lasts eight semesters. All classes can be conducted in the form of stationary, remote or e-learning. For semesters I-II, the program includes participation in classes, which are obligatory for all doctoral students. Some of these classes are common to both thematic blocks, and the remaining topics are related to the research topics of individual thematic blocks. For semesters III-IV, doctoral students are required to participate in the TIB seminar and at least one lecture selected by the doctoral student from among the lectures constituting the teaching offer of TIB in each of these semesters. PhD students of the V-VIII semesters are required to participate in the TIB seminar. They can also, after consulting their supervisors, participate in the classes (lectures, seminars) conducted for semesters I - IV, if they have not participated in them so far. The number of such additional lecture-type classes may not exceed one per semester. 
3. The pool of classes offered as part of the education program may be expanded with lectures on new / pioneering research directions.
4. The method of verifying the knowledge, skills and social competences acquired during classes is determined by the lecturer, taking into account the profile of the PhD student's research work. 
5. An individual doctoral student education plan, with the consent of the research tutor and the Head of the TIB PAN, may include participation in classes organized outside the curriculum of the Doctoral School of TIB PAN, related to its research subject. 

Framework curriculum for teaching activities - updated at the beginning of the next academic year 

The didactic offer of the TIB PAN Doctoral School - block of Information Technologies and Cybersecurity
(List updated at the beginning of the next academic year) 

• Statistics and Data Analysis 
• Computational intelligence 
• Bioinformatics 
• Methods of Computational Biology 
• Programming, Numerics, and Optimization 
• Advances in Data-Intensive Modelling and Simulation 
• Distributed Large Scale Data Bases and their Data Mining Algorithms 
• Natural Language Processing 
• Introduction to Machine Learning 
• Monte Carlo methods: algorithms & applications 
• Computer modeling 
• Introduction to cybersecurity 
• Learning from data in cybersecurity 
• Principles of data-centric security 
• Certification and standardization in cybersecurity 
• Artificial Intelligence Methods in Distributed Computing Systems 

The didactic offer of the TIB PAN Doctoral School - block of Biomedical Engineering and Medical Sciences
(List updated at the beginning of the next academic year) 

• Statistics and Data Analysis 
• Computational intelligence 
• Biomedical engineering – Biomeasurement and biomedical imaging in diagnosis and therapy  
• Biomedical engineering – Artificial organs and modeling of physiological and pathological processes in the human body 
• Methods of Computational Biology 
• Biopolymers in regenerative medicine 
• Design, fabrication, and characterization of advanced materials for biomedical application 
• Mathematical modeling of cell regulatory pathways 
• Diffuse optical tomography (NIFRAST – essentials + hands-on training) 
• Pathology and physiology for biomedical engineering 
• Experimental medicine: methodology of pre-clinical studies and new therapeutic strategies