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General information
Ankündigungen
Ankündigungen
Tamamlama Gereklilikleri
Ankündigungen und Nachrichten
Forumları ara
Forumları ara
Tartışma listesi. 17 tartışmadan 17 gösteriliyor
Durum
Tartışma
Başlatan
Son mesaj
Yanıtlar
Eylemler
Nachholklausur results
Kilitli
Goran Glavaš
23 May 2024
Goran Glavaš
23 May 2024
0
Nachklausur / Re-Exam
Kilitli
Goran Glavaš
22 Mar 2024
Goran Glavaš
22 Mar 2024
0
Data Crunch Cup
Kilitli
Goran Glavaš
11 Mar 2024
Goran Glavaš
11 Mar 2024
0
Exam Results and Grades
Kilitli
Goran Glavaš
6 Mar 2024
Goran Glavaš
6 Mar 2024
0
Exam: split by classroom
Kilitli
Goran Glavaš
13 Şub 2024
Goran Glavaš
13 Şub 2024
0
Klausur Bonus
Kilitli
Fabian Schmidt
12 Şub 2024
Fabian Schmidt
12 Şub 2024
0
Einladung zur Teilnahme
Kilitli
Goran Glavaš
27 Eki 2023
Goran Glavaš
6 Şub 2024
1
Note on Exercise 11 - Machine Learning
Kilitli
Benedikt Ebing
5 Şub 2024
Benedikt Ebing
5 Şub 2024
0
Resuming lectures
Kilitli
Goran Glavaš
6 Oca 2024
Goran Glavaš
6 Oca 2024
0
Exercise 07 - State Space Search - Verschoben
Kilitli
Benedikt Ebing
15 Ara 2023
Benedikt Ebing
15 Ara 2023
0
Exercise - Dynamic Programming - Entfällt
Kilitli
Fabian Schmidt
14 Ara 2023
Fabian Schmidt
14 Ara 2023
0
Remote Exercise - Dynamic Programming - 15.12.2023
Kilitli
Fabian Schmidt
13 Ara 2023
Fabian Schmidt
13 Ara 2023
0
No lectures this week
Kilitli
Goran Glavaš
10 Ara 2023
Goran Glavaš
10 Ara 2023
0
Lecture on Monday, 4.12. will start at 14.00
Kilitli
Goran Glavaš
23 Kas 2023
Goran Glavaš
23 Kas 2023
0
Infoveranstaltung zu Auslandssemestern am 27.11.23
Kilitli
Goran Glavaš
14 Kas 2023
Goran Glavaš
14 Kas 2023
0
Lectures on 9.11., 16.11., and 23.11
Kilitli
Goran Glavaš
7 Kas 2023
Goran Glavaš
7 Kas 2023
0
First Exercise Sheet
Kilitli
Benedikt Ebing
31 Eki 2023
Benedikt Ebing
31 Eki 2023
0
Geçiş yap...
Geçiş yap...
Discussion Forum
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
Discussion Forum ►
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