ДП „Информатика“
Учебни ресурси | Монографии и книги

◀ Учебни ресурси по ДП „Информатика“

Монографии и книги

На английски

  1. Judea Pearl, Dana Mackenzie. The Book of Why: The New Science of Cause and Effect. Penguin, 2019.
  2. Gomathi Ramalingam, Sharmila Dhandapani. SPARQL Query Optimization using Nature Inspired Algorithms. Lambert Academic Publishing, 2017.
  3. Shui Qing Ye (Ed.). Big Data Analysis for Bioinformatics and Biomedical Discoveries. Chapman & Hall  / CRC Press, 2016.
  4. Brian Christian, Tom Griffiths. Algorithms to Live By: The Computer Science og Human Decisions. William Collins, London, 2016.
  5. Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. RNA-seq Data Analysis: A Practical Approach. Chapman & Hall  / CRC Press, 2015.
  6. Forbes J. Burkowski. Computational and Visualization Techniques for Structural Bioinformatics Using Chimera.  Chapman & Hall  / CRC Press, 2015.
  7. Mykel J. Kochenderfer. Decision Making Under Uncertainty: Theory and Application. The MIT Press, Cambridge, Massachusetts, 2015.
  8. Steve Lohr. Data-Ism. Inside the Big Data Revolution. OneWorld Publications, London, 2015.
  9. Tamara Munzner. Visualization Analysis & Design. CRC Press Taylor & Francis, 2015.
  10. Laura Marcu, Paul M. W. French, Daniel S. Elson (Eds.). Fluorescence Lifetime Spectroscopy and Imaging: Principles and Applications in Biomedical Diagnostics. CRC Press Taylor & Francis, 2015.
  11. Bob DuCharme. Learning SPARQL. O’Reilly, 2013.
  12. Jung Soh, Paul M. K. Gordon, Christoph W. Sensen. Genome Annotation. Chapman & Hall  / CRC Press, 2013.
  13. Albert Folch. Introduction to BioMEMS. CRC Press Taylor & Francis, 2013.
  14. Emmanuel Barillot, Laurence Calzone, Philippe Hupe, Jean-Philippe Vert, Andrei Zinovyev. Computational Systems Biology of Cancer. Chapman & Hall  / CRC Press, 2013.
  15. Golan Yona. Introduction to Computational Proteomics. Chapman & Hall  / CRC Press, 2011.
  16. Thomas S. Deisboeck, Georgios S. Stamatakos. Multiscale Cancer Modelling. Chapman & Hall  / CRC Press, 2011.
  17. Michael J. Welch, William C. Eckelman. Targeted Molecular Imaging. Chapman & Hall  / CRC Press, 2010.
  18. C. Pozrikidis (Ed.). Computational Hydrodynamics of Capsules and Biological Cells. Chapman & Hall  / CRC Press, 2010.
  19. Jean-Loup Faulon, Andreas Bender (Eds.). Handbook of Chemoinformatics Algorithms. Chapman & Hall  / CRC Press, 2010.
  20. Karl Fraser, Zidong Wang, Xiaohui Liu. Microarray Image Analysis: An Algorithmic Approach. Chapman & Hall  / CRC Press, 2010.
  21. Hinrich Gohlmann, Willem Talloen. Gene Expression Studies Using Affymetrix Microarrays. Chapman & Hall  / CRC Press, 2009.
  22. Foster Morrison. The Art of Modelling Dynamic Systems: Forecasting for Chaos, Randomness and Determinism. Dover Publications, New York, 2008.
  23. Sarah P. Otto, Troy Day. A Biologists’s Guide to Mathematical Modelling in Ecology and Evolution. Princeton University Press, 2007.
  24. Elmar Heinzle, Arno Biwer, Charles Cooney. Development of Sustainable Bioprocesses: Modelling and Assessment. John Wiley & Sons, Chichester, 2006.
  25. Jose Figueira, Salvatore Greco, Matthias Ehrgott. Multiple Criteria Decision Analysis: State of the Art Surveys. Springer Science + Business Media, 2005.
  26. Ketty Peeva, Yordan Kyosev. Fuzzy Relational Calculus: Theory, Applications and Software. World Scientific. 2004.
  27. Ludmila I. Kuncheva. Combining Pattern Classifiers: Methods and Algorithms. John Wiley & Sons, 2004.
  28. Christopher M. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, New York, 2004.
  29. Brian S. Everitt, Graham Dunn. Applied Multivariate Data Analysis. Oxford University Press, New York, 2001.
  30. Richard O. Duda, Peter E. Hart, David G. Stork. Pattern Classification. John Wiley & Sons, 2001.
  31. Keith Ponting (Ed.) Computational Models of Speech Pattern Processing. Springer-Verlag Berlin Heidelberg, 1999.
  32. Jan H. van Bemmel, Jana Zvarova. Knowledge, Information and Medical Education. North-Holland, Amsterdam, 1991.
  33. Chris Naylor. Build Your Own Expert System. Sigma Press Publishers / John Wiley & Sons, Chichester, 1988.
  34. Peter Smith. Expert System Development in Prolog and Turbo-Prolog. Sigma Press Publishers / John Wiley & Sons, Chichester, 1988.
  35. Madan M. Gupta, Abraham Kandel, Wyllis Bandler, Jerzy B. Kiszka (Eds.) Approximate Reasoning in Expert Systems. North-Holland, Amsterdam, 1985.
  36. Constantin Virgil Negoita. Expert Systems and Fuzzy Systems. The Benjamin/Cummings Publishing Company, Inc., Menlo Park, 1985.
  37. Ivo de Lotto, Mario Stefanelli. Artifician Intelligence in Medicine. North-Holland, Amsterdam, 1985.
  38. Francois E. Cellier (Ed.). Progress in Modelling and Simulation. Academic Press, Inc., London. 1982.
  39. Jack Macki, Aaron Strauss. Introduction to Optimal Control Theory. Springer-Verlag New York, 1982.

На български

  1. Майкъл Дж. Ернандез. Проектиране на бази данни за простосмъртни. Алекс Софт, София, 2021.
  2. Величка Транева, Стоян Транев. Индексираните матрици като инструмент за вземане на управленски решения. Съюз на учените в България, София, 2017.
  3. Валери Гочев, Поля Гочева. .NET реализация на обобщени мрежи. Обектно ориентиран подход. Издателски център на ВУКТП, София, 2012.
  4. Дъстин Босуел, Тревор Фучър. Изкуството на разбираемия код. O’Reilly, София, 2012.
  5. Красимира Стоилова. Неитеративна координация с предсказване. АИ „Марин Дринов“, София, 2010.
  6. Иванка Вълова. OLAP – Теория и практика. Авангард Прима, София, 2007.
  7. Кирил Тенекеджиев. Количествен анализ на решенията: Теория на полезността и субективна статистика. АИ „Марин Дринов“, София, 2004.
  8. Арсо Манов. Статистика със SPSS. Изд. „Тракия-М“, София, 2001.
  9. Дешо Младенов, Красимира Стоилова, Тодор Стоилов. Теория и практика на йерархичните системи. Издателство на БАН, София, 1989.