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## Secure Computation Laboratory## Charles H. Knapp Associate Professor Marten van Dijk |

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Different forms of by nature inspired computing paradigms (as opposed to computing paradigms that originate from our own human logic) are discussed. The course addresses various topics: cellular automata, neural computation, evolutionary computation, quantum computation, molecular computation, membrane computation, etc. Students will obtain a general understanding of each of these topics. Since each topic on its own would require a whole course by itself, the course only focusses on core ideas and basic concepts.

The course is based on “Handbook of Natural Computing”, Editors Grzegorz Rosenberg, Thomas Back, and Joost N. Kok, Springer, 2014. The lectures on quantum computing are based on “Quantum Computing Since Democritus”, Scott Aaronson, Cambridge UniversityPress, 2013.

In a future offering I would like to split the material into a first class teaching “On the Concept of Time” including the working of the brain, our conception of time from an algorithmic as well as psychological point of view, death phobia in western culture, some philosophy (may be some of Hannah Arend’s work from “Life of the Mind”), some physics such as reversibility (thermodynamics and some stuff on cellular automata), special relativity, causality (some quantum computation), etc. A second class could focus on a more detailed study of neural, fuzzy, evolutionary computation etc., i.e., a more algorithmic and mathematically oriented course.

Date | Topic | Lecture Material | Supporting Material |
---|---|---|---|

21 Jan | Introduction to Natural Computing | Lecture 1: Course Introduction | |

26 Jan | Cellular Automata | Lecture 2: Introduction To Ceullular Automata | Slides_on_Cellular_Automata_by Professor_Jarkko_Kari Cellular_Automata_Notes_and_Homework_by_Professor_Jakko_Kari |

28 Jan | Cellular Automata | Lecture 3: Universalities | |

2 Feb | Cellular Automata | Lecture 4: Reversibility | |

4 Feb | Cellular Automata | Lecture 5: Lattice Boltzmann Modeling | |

9 Feb | Neural Computation | Lecture 6: Spiking Neural Networks | |

11 Feb | Neural Computation | Lecture 7: Neurofuzzy Networks | Neural_Fuzzy_Computing_Slides_by_Professor_Robert_Fuller |

16 Feb | Neural Computation | Lecture 8: Support Vector Machines | Support_Vector_Machine_Slides_by_Jason_Weston |

18 Feb | Neural Computation | Lecture 9: Biological Neural Networks | Deep_Belief_Network_Slides_by_Professor_Geoffrey_Hinton Deep_Learning_Slides_by_Professor_Yann_LeCun |

23 Feb | Evolutionary Computation | Lecture 10: Evolutionary Algorithms | |

25 Feb | Evolutionary Computation | Lecture 11: Genetic Algorithms | Genetic_Algorithms_Theory_and_Applications_Lecture_Notes_by_Ulrich_Bodenhofer |

2 Mar | Evolutionary Computation | Lecture 12: Multiobjective Optimization | Slides_on_Multiobjective_Optimization_by_Kalyanmoy_Deb Tutorial_On_Multiobjective_Optimization_by_Carlos_Coello Tutorial_On_Multiobjective_Optimization_by_Dimo_Brockhoff Hypervolume_Indicator_Based_MOEAs_by_Per_Kristian_Lehre Tutorial_On_Multiobjective_Optimization_by_Eckhart_Zitzler |

4 Mar | Evolutionary Computation | Memetic Algorithms | Memetic_Algorithms_Slides_by_Dr._Krasnogor |

9 Mar | Molecular Computation | DNA Computing | DNA_Computing_Slides_by_Deepthi_Bollu Molecular_Computation_of_Solutions_to_Combinatorial_Problems_by_M._Adleman |

11 Mar | Molecular Computation | Lecture 15: Molecular Computing Machineries | |

16 Mar | Spring Break (no class) | ||

18 Mar | Spring Break (no class) | ||

23 Mar | Molecular Computation | Lecture 16: DNA-Based Biomolecular Devices | |

25 Mar | Molecular Computation | Membrane Computing | Membrane_Computing_Slides_by_Professor_Kamala_Krithivasan Membrane_Computing_Slides_by_Michael_Herrmann |

30 Mar | Quantum Computation | Mathematical Foundation of Quantum Computing | Quantum_Lecture_9_by_Scott_Aaronson Quantum_Computing_Lecture_10_by_Scott_Aaronson Decoherence_and_Hidden_Variables_Lecture_11_by_Scott_Aaronson Skepticism_of_Quantum_Computing_Lecture_14_by_Scott_Aaronson Computational_Learning_Lecture_15_by_Scott_Aaronson The_Ghost_in_the_Quantum_Turing_Machine_by_Scott_Aaronson |

1 Apr | Quantum Computation | Bell's Inequalities | |

6 Apr | Quantum Computation | Quantum Algorithms | |

8 Apr | Quantum Computation | Physical Implementation | |

13 Apr | Student's Choice | ||

15 Apr | Student's Choice | ||

20 Apr | Student's Choice | ||

22 Apr | Reflections on Research | ||

27 Apr | Project Presentations | ||

29 Apr | Project Presentations | ||

4 May | Presentation of Personal Essays |