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Tartışma listesi. 12 tartışmadan 12 gösteriliyor
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Nachschreibetermin
Kilitli
Jakob Maier
12 Şub 2024
Goran Glavaš
12 Şub 2024
3
Genetic Algorithm Selection
Kilitli
Antoni Mackowiak
4 Şub 2024
Goran Glavaš
6 Şub 2024
1
Klausur
Kilitli
Antoni Mackowiak
29 Ara 2023
Goran Glavaš
6 Şub 2024
3
Exercise Sheet 11
Kilitli
Raphael Teller
2 Şub 2024
Raphael Teller
5 Şub 2024
2
Abgabe Termin Exercise 07
Kilitli
Lukas Landwehr
9 Oca 2024
Benedikt Ebing
9 Oca 2024
1
Übung 4 Aufgabe 1.3
Kilitli
Sarah Gerstner
28 Ara 2023
Fabian Schmidt
8 Oca 2024
1
Vorlesung Donnerstag 21.12
Kilitli
Antoni Mackowiak
18 Ara 2023
Antoni Mackowiak
19 Ara 2023
2
Korrektur Übungsblätter
Kilitli
Sarah Gerstner
17 Kas 2023
Benedikt Ebing
17 Kas 2023
1
Searching group/partner for exercises
Kilitli
Sarah Gerstner
6 Kas 2023
Malik Cihan
6 Kas 2023
3
AttributeError: module 'main' has no attribute 'TestQueue'
Kilitli
Kevin Qagish
2 Kas 2023
Benedikt Ebing
3 Kas 2023
1
Exercise Sheets Inquiry
Kilitli
Ahmed Abdulwasea Mohammed Ahmed Saleh
30 Eki 2023
Ahmed Abdulwasea Mohammed Ahmed Saleh
30 Eki 2023
0
Are there two Exercise Sessions on Friday ?
Kilitli
Malik Cihan
16 Eki 2023
Goran Glavaš
16 Eki 2023
1
◄ Ankündigungen
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Ankündigungen
L1: Introduction
L2: Algorithms
L3: Data Structures
L4: Algorithmic Complexity
L5: Sorting
L6: Heap
L7: Hashing
L8: Binary Search Tree
L9: Balanced Trees (AVL)
L10: Graphs
L11: Graph Algorithms
L12: Dynamic Programming
L13: DP Problems
L14: State Space Search
L15: Heuristic State Space Search
L16: Adversarial Search (Game Playing)
L17: Metaheuristic Search (Discrete Optimization)
L18: Constraint Satisfaction and Backtracking
L19: Knowledge-Based Reasoning (Expert Systems)
L20: Numeric(al) Optimization
L21: Introduction to Machine Learning
L22: Parametric Classification
L23: Non-Parametric Classification
Probeklausur
Hauptklausur (13.2.): Results and Grades
Nachholklausur (11.4.): Results and Grades
Exercise 0 - Introduction to Python
Exercise 01 - Stack & Queue
Exercise 01 - Stack & Queue - Solutions
Exercise 02 - Complexity & Sorting
Exercise 02 - Complexity & Sorting - Solutions
Exercise 03 - Heaps & Hashing
Exercise 03 - Heaps & Hashing - Solutions
Exercise 04 - Binary & Balanced Trees
Exercise 04 - Binary & Balanced Trees - Solutions
Exercise 05 - Graphs
Exercise 05 - Graphs - Solution
Exercise 06 - Dynamic Programming
Exercise 06 - Dynamic Programming - Solutions
Exercise 07 - State Space Search
Exercise 07 - State Space Search - Solution
Exercise 08 - Adversarial Search
Exercise 08 - Adversarial Search - Solution
Exercise 09 - Metaheuristic & Constrained Satisfaction
Exercise 09 - Constrained Satisfaction - Solution
Exercise 10 - Expert Systems & Numerical Optimization
Exercise 10 - Expert Systems & Numerical Optimization (Solution)
Exercise 11 - Machine Learning
L1: Introduction ►
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