• The ongoing courses:
    1. Web scale data mining and processing
    2. Computer modeling
    3. Neural networks
    4. Multi-objective optimization and multiple criteria decision making
    5. Advanced data analysis software development with R
    6. Mining massive datasets
    7. Specification and verification of multi-agent systems
    8. Introduction to model checking
  • Recently added content:
    04-02-2015
    Materiały dydaktyczne - Sem V Rok III
    13-01-2015
    Mathematical and computer modeling of non-linear biosystems Part II - prof Urszula Foryś
    04-12-2014
    Mathematical and computer modeling of non-linear biosystems Part II - prof Urszula Foryś
    21-11-2014
    Biological inspirations in computational intelligence algorithms - prof. Krzysztof Trojanowski

PhD studies programme

Thematic block I

Year

SEMESTER

SUBJECT

Number of hours

I

I

PROBLEMS OF THE CONTEMPORARY INFORMATICS-SEM.

45

ADVANCED STATISTICAL METHODS-LECTURE

30

ADVANCED STATISTICAL METHODS-LABORATORIES

30

II

PROBLEMS OF THE CONTEMPORARY INFORMATICS-SEM.

45

INTRODUCTION TO MACHINE LEARNING AND DATA MINING- LECTURE

30

INTRODUCTION TO MACHINE LEARNING AND DATA MINING- LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

IN FIRST SEMESTER OF SECOUND YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

I

FOUNDATIONS OF PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS- LECTURE

30

FOUNDATIONS OF PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS- LABORATORIES

30

ALGEBRAIC MODELS FOR CONCURRENT SYSTEMS-LECTURE

30

ALGEBRAIC MODELS FOR CONCURRENT SYSTEMS-LABORATORIES

30

ADVANCED COMPUTER NETWORK MANAGEMENT- LECTURE

30

ADVANCED COMPUTER NETWORK MANAGEMENT- LABORATORIES

30

PhD SEMINAR – CORE SUBJECT

10

IN SECOUND SEMESTER OF SECOUND YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

AUTOMATION OF ELECTRONIC BUSINESS PROCESSES- LECTURE

30

AUTOMATION OF ELECTRONIC BUSINESS PROCESSES- LABORATORIES

30

MULTIAGENT SYSTEMS- LECTURE

30

MULTIAGENT SYSTEMS- LABORATORIES

30

LOCAL COMPUTATIONS ON GRAPHS- LECTURE

30

LOCAL COMPUTATIONS ON GRAPHS- LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

IN FIRST SEMESTER OF THIRD YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

III

I

CRYPTOGRAPHY: THEORY AND PRACTISE PART 1- LECTURE

30

CRYPTOGRAPHY: THEORY AND PRACTISE PART 1- LABORATORIES

30

INTEROPERABILITY OF SOFTWARE AGENTS- LECTURE

30

INTEROPERABILITY OF SOFTWARE AGENTS- LABORATORIES

30

COOPERATION IN MULTIAGENT SYSTEMS- LECTURE

30

COOPERATION IN MULTIAGENT SYSTEMS- LABORATORIES

30

PhD SEMINAR – CORE SUBJECT

10

IN SECOUND SEMESTER OF THIRD YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

CRYPTOGRAHY: THEORY AND PRACTICE PART 2- LECTURE

30

CRYPTOGRAHY: THEORY AND PRACTICE PART 2-LABORATORIES

30

NON-MONOTONIC REASONING FOR THE SEMANTIC WEB- LECTURE

30

NON-MONOTONIC REASONING FOR THE SEMANTIC WEB- LABORATORIES

30

AUTOMATED MODEL CHECKING OF CONCURRENT SYSTEMS- LECTURE

30

AUTOMATED MODEL CHECKING OF CONCURRENT SYSTEMS- LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

       

Thematic block II

Year

SEMESTER

SUBJECT

Number of hours

I

I

PROBLEMS OF THE CONTEMPORARY INFORMATICS- SEM.

45

ADVANCED STATISTICAL METHODS- LECTURE

30

ADVANCED STATISTICAL METHODS- LABORATORIES

30

II

PROBLEMS OF THE CONTEMPORARY INFORMATICS- SEM.

45

COMPUTER MODELING I- LECTURE

30

COMPUTER MODELING I- LABORATORIES

30

INTRODUCTION TO MACHINE LEARNING AND DATA MINING- LECTURE

30

INTRODUCTION TO MACHINE LEARNING AND DATA MINING- LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

IN FIRST SEMESTER OF SECOUND YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

I

STATISTICAL MACHINE LEARNING- LECTURE

30

STATISTICAL MACHINE LEARNING- LABORATORIES

30

COMPUTER MODELING II- LECTURE

30

COMPUTER MODELING II- LABORATORIES

30

ADVANCED TOPICS IN MACHINE LEARNING- LECTURE

30

ADVANCED TOPICS IN MACHINE LEARNING- LABORATORIES

30

PhD SEMINAR – CORE SUBJECT

10

IN SECOUND SEMESTER OF SECOUND YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

NATURAL LANGUAGE PROCESSING- LECTURE

30

NATURAL LANGUAGE PROCESSING- LABORATORIES

30

MODELS AND COMPUTATIONAL TECHNIQUES OF EXPLORATION OF MULTIDIMENSIONAL BIOMEDICAL DATA SETS- LECTURE

30

MODELS AND COMPUTATIONAL TECHNIQUES OF EXPLORATION OF MULTIDIMENSIONAL BIOMEDICAL DATA SETS- LABORATORIES

30

MATHEMATICAL AND COMPUTER MODELING OF NONLINEAR BIOSYSTEMS I- LECTURE

30

MATHEMATICAL AND COMPUTER MODELING OF NONLINEAR BIOSYSTEMS I- LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

IN FIRST SEMESTER OF THIRD YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

III

I

BIOLOGICAL INSPIRATIONS IN COMPUTATIONAL INTELLIGENCE ALGORITHMS- LECTURE

30

BIOLOGICAL INSPIRATIONS IN COMPUTATIONAL INTELLIGENCE ALGORITHMS - LABORATORIES

30

MATHEMATICAL AND COMPUTER MODELING OF NONLINEAR BIOSYSTEMS II- LECTURE

30

MATHEMATICAL AND COMPUTER MODELING OF NONLINEAR BIOSYSTEMS II- LABORATORIES

30

ANALYSIS AND PREDICTION FOR TEMPORAL DATA - LECTURE

30

ANALYSIS AND PREDICTION FOR TEMPORAL DATA - LABORATORIES

30

PhD SEMINAR – CORE SUBJECT

10

IN SECOUND SEMESTER OF THIRD YEAR CHOOSE 2 FROM 3 SUBJECTS (LECTURE+LABORATORIES)

II

SELECTED PROBLEMS OF MINING INFORMATION IN LARGE COLLECTIONS OF WEB DOCUMENTS - LECTURE

30

SELECTED PROBLEMS OF MINING INFORMATION IN LARGE COLLECTIONS OF WEB DOCUMENTS - LABORATORIES

30

INFORMATION THEORY AND STATISTICS- LECTURE

30

INFORMATION THEORY AND STATISTICS- LABORATORIES

30

MODERN METAHEURISTICS AND THEIR APPLICATION - LECTURE

30

MODERN METAHEURISTICS AND THEIR APPLICATION - LABORATORIES

30

SUMMER SCHOOL – ADDITIONAL SUBJECT TO CHOOSE

30

PhD SEMINAR – CORE SUBJECT

10

 

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    The Project is co-financed by the European Union under the European Social Fund