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courses:be5b33kui:lectures:start [2017/05/15 12:33]
hoffmmat
courses:be5b33kui:lectures:start [2018/02/18 15:41]
svobodat removing future table, fixing wrong link to lecture material
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 ^ date ^ week ^ topic ^ ^ date ^ week ^ topic ^
 | 20.02.2017 |  1. | Intro into course and cybernetics and AI. We learn about the course grading and its rules as well as about what connects the cybernetics and artificial intelligence. I show some real applications of the methods we learn during the courses in an attempt to make the first lecture not too much dry and boring. {{:​courses:​be5b33kui:​lectures:​kui-01-intro.pdf|}},​ {{:​courses:​be5b33kui:​lectures:​chapter01.pdf|}}| | 20.02.2017 |  1. | Intro into course and cybernetics and AI. We learn about the course grading and its rules as well as about what connects the cybernetics and artificial intelligence. I show some real applications of the methods we learn during the courses in an attempt to make the first lecture not too much dry and boring. {{:​courses:​be5b33kui:​lectures:​kui-01-intro.pdf|}},​ {{:​courses:​be5b33kui:​lectures:​chapter01.pdf|}}|
-| 27.02.2017 |  2. | Solving problems by search. We learn how to formalize problems and how to design //​algorithms//​ for finding a{{:​courses:​be5b33kui:​lectures:​kui-06-mdp.pdf|}} ​solution. {{:​courses:​be5b33kui:​lectures:​chapter03.pdf|}},​ {{:​courses:​be5b33kui:​lectures:​kui-02-search.pdf|}} (not completed, continue on March 13)  |+| 27.02.2017 |  2. | Solving problems by search. We learn how to formalize problems and how to design //​algorithms//​ for finding a solution. {{:​courses:​be5b33kui:​lectures:​chapter03.pdf|}},​ {{:​courses:​be5b33kui:​lectures:​kui-02-search.pdf|}} (not completed, continue on March 13)  |
 | 06.03.2017 |  3. | {{:​courses:​be5b33kui:​lectures:​kui-03-embodiedai.pdf|Embodied artificial intelligence}},​ a lecture by [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]] - a slight diversion into an interesting perspective on AI and robotics. | | 06.03.2017 |  3. | {{:​courses:​be5b33kui:​lectures:​kui-03-embodiedai.pdf|Embodied artificial intelligence}},​ a lecture by [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]] - a slight diversion into an interesting perspective on AI and robotics. |
 | 13.03.2017 |  4. | Uniformed search, properties, comparisons. {{:​courses:​be5b33kui:​lectures:​kui-03-search.pdf|}}| | 13.03.2017 |  4. | Uniformed search, properties, comparisons. {{:​courses:​be5b33kui:​lectures:​kui-03-search.pdf|}}|
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 | **11.05.2017** |  12. | Classification - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Perceptron, k-nn and relationship to Bayesian classifier - {{:​courses:​be5b33kui:​lectures:​kui-12-classification.pdf|}} ​  | | **11.05.2017** |  12. | Classification - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Perceptron, k-nn and relationship to Bayesian classifier - {{:​courses:​be5b33kui:​lectures:​kui-12-classification.pdf|}} ​  |
 | 15.05.2017 |  13. | Learning probabilistic models - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Slides from Jiri Matas: {{:​courses:​be5b33kui:​lectures:​Matas_pr_03_parameter_estimation_2016_10_17.pdf|}} - up to slide 15. | | 15.05.2017 |  13. | Learning probabilistic models - [[https://​sites.google.com/​site/​matejhof/​home|Matej Hoffmann]]. Slides from Jiri Matas: {{:​courses:​be5b33kui:​lectures:​Matas_pr_03_parameter_estimation_2016_10_17.pdf|}} - up to slide 15. |
-| 22.05.2017 |  14. | ToBeDecided ​|+| 22.05.2017 |  14. | Solving problems on paper/​blackboard - fully interactive lecture; preparing for the exam a bit |
courses/be5b33kui/lectures/start.txt · Last modified: 2018/02/18 15:41 by svobodat