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  1. Skeptiki v pubu #8: Zakaj bi gradili še večje pospeševalnike delcev?Znanost na cesti1:13:20Notes
  2. Skeptiki v pubu #7: Podnebne spremembe: kaj se v resnici dogaja?Znanost na cestiNotes
  3. Skeptiki v pubu #6: UI v mediciniZnanost na cestiNotes
  4. Skeptiki v pubu #5: (Za)kaj jemo?Znanost na cesti1:48:54Notes
  5. Znanstveni slam: (Algo)ritem planetaZnanost na cesti2:15:48Notes
  6. Znanost v dialogu: Posvet o komuniciranju znanosti v SlovenijiZnanost na cestiNotes
  7. Skeptiki v pubu #4: Iz sanj v zmageZnanost na cestiNotes
  8. Skeptiki v pubu #3: Kvantne tehnologijeZnanost na cestiNotes
  9. Skeptiki v pubu #2: Osnovni delciZnanost na cestiNotes
  10. Skeptiki v pubu #1Znanost na cestiNotes
  11. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 12Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  12. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 10Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  13. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 9Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  14. Data-Driven Methods and Machine Learning in Atmospheric Science By Prof. C Balaji Lecture 5&6 Part 2Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  15. Data Driven Methods, Machine Learning in Atmospheric Science By Prof. C Balaji Lecture 5&6 Part 1Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  16. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 8Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  17. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 7Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  18. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 4Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  19. Data-Driven Methods and Machine Learning in Atmospheric Science course By Prof. C Balaji Lecture 3Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  20. Data-Driven Methods and Machine Learning in Atmospheric Sciences course By Prof. C Balaji Lecture 2Driven Methods and Machine Learning in Atmospheric Sciences- A short course" By Prof. C BalajiNotes
  21. ISSAA & RCAA 2021: Exciting the new generation with Astronomy by Mr. Samir DhurdeIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  22. ISSAA & RCAA 2021: Solar Physics by Prof. Durgesh TripathiIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  23. ISSAA & RCAA 2021: Stellar Structure by Prof. Dipankar BhattacharyaIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  24. ISSAA & RCAA 2021: Introduction to A&A by Prof. Somak RaychaudhuryIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  25. ISSAA & RCAA 2021: Radiative Processes by Prof. Dipanjan MukherjeeIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  26. ISSAA & RCAA 2021: Demonstration of Stellarium by Prakash ArumugasamyIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  27. ISSAA & RCAA 2021: Stellar Structure by Dipankar BhattacharyaIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  28. ISSAA & RCAA 2021: Radiative Processes by Prof. Dipanjan MukherjeeIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  29. ISSAA & RCAA 2021: Introduction to A&A by Somak RaychaudhuryIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  30. ISSAA & RCAA 2021: Stellar Structure by Dipankar BhattacharyaIntroductory Summer School in Astronomy and Astrophysics - 2021Notes
  31. Reinforcement Learning & Alpha Go 1, Prof. Dr. Jörg HoffmannElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  32. Elements of Data Science and Artificial Intelligence: Machine Learning in JupyterElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  33. Elements of Data Science and Artificial Intelligence: Machine Learning II, Prof. Dr. Bernt SchieleElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  34. Elements of Data Science and Artificial Intelligence: Machine Learning, Prof. Dr. Bernt SchieleElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  35. Elements of Data Science and Artificial Intelligence: Datenbanken (Teil 4)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  36. Elements of Data Science and Artificial Intelligence: Datenbanken (Teil 3)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  37. Elements of Data Science and Artificial Intelligence: Datenbanken (Teil 2)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  38. Elements of Data Science and Artificial Intelligence: Datenbanken (Teil 1)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  39. Elements of Data Science and Artificial Intelligence: Einführung in Python (Teil 2)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  40. Elements of Data Science and Artificial Intelligence: Einführung in Python (Teil 1)Elements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  41. Elements of Data Science and Artificial Intelligence: Einführung in KI, Prof. Dr. Jörg HoffmannElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  42. Elements of Data Science and Artificial Intelligence: Einführung in Data ScienceElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  43. Elements of Data Science and Artificial Intelligence: EinführungElements of Data Science and Artificial Intelligence Lecture (winter term 20/21)Notes
  44. Web Information Retrieval - Contents of Video Lectures.Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  45. Web Information Retrieval (Prof. L. Becchetti) - Lecture 9 part 1 (1 Apr. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  46. Web Information Retrieval (Prof. A. Vitaletti) - Lecture 8 (28 Mar. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  47. Web Information Retrieval (Prof. L. Becchetti) - Lecture 7 (21 Mar. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  48. Web Information Retrieval (Prof. L. Becchetti) - Lecture 6 part 2 (18 Mar. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  49. Web Information Retrieval (Prof. L. Becchetti) - Lecture 6 part 1 (18 Mar. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes
  50. Web Information Retrieval (Prof. A. Vitaletti) - Lecture 5 (14 Mar. 2019).Web Information Retrieval (Proff. L. Becchetti - A. Vitaletti)Notes

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