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Block
Introduction to Neural Networks and Genetic Algorithms [T-WIWI-111029]
Type
Written examinationCredits
4.5Recurrence
Each summer termVersion
1Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
Events
Course Number | Name | SWS | Type |
---|---|---|---|
SS22 2540541 | Introduction to Neural Networks and Genetic Algorithms | 2 | lecture (V) |
SS24 2540541 | Introduction to Neural Networks and Genetic Algorithms | 2 | lecture (V) |
SS21 2540541 | Introduction to Neural Networks and Genetic Algorithms | 2 | lecture (V) |
SS23 2540541 | Introduction to Neural Networks and Genetic Algorithms (SoSe 2023) | 2 | lecture (V) |
SS21 2540542 | Übung Introduction to Neural Networks and Genetic Algorithms | 1 | exercise (Ü) |
SS24 2540542 | Übung Introduction to Neural Networks and Genetic Algorithms | 1 | exercise (Ü) |
SS23 2540542 | Übung Introduction to Neural Networks and Genetic Algorithms | 1 | exercise (Ü) |
SS22 2540542 | Übung Introduction to Neural Networks and Genetic Algorithms | 1 | exercise (Ü) |
Exams
Course Number | Name | Appointments |
---|---|---|
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms | 18.08.2023 - 11:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms | 16.08.2024 - 08:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms (Nachklausur SS 2023) | 22.03.2024 - 11:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms (Nachklausur SS 2021) | 14.04.2022 - 11:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms | 19.08.2022 - 08:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms (Nachklausur SS 2022) | 13.04.2023 - 02:00 |
SS21 7900303 | Introduction to Neural Networks and Genetic Algorithms | 12.08.2021 - 10:00 12.08.2021 - 10:15 |
Competence Certificate
Written examination (60 minutes) according to §4(2), 1 SPO. The exam is considered passed if at least 50 out of a maximum of 100 possible points are achieved. The grades are graded in five-point-steps (best grade 1.0 from 95 points). Details of the grade formation and scale will be announced in the course.
A bonus can be acquired through successful participation in the practice. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The exact criteria for awarding a bonus will be announced at the beginning of the course.