| Kode Mata Kuliah | FI7111 / 2 SKS |
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| Penyelenggara | 302 - Physics / FMIPA |
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| Kategori | Lecture |
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| Bahasa Indonesia | English |
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| Nama Mata Kuliah | Literasi Digital, AI dan Etika Akademik | Digital Literacy, AI, and Academic Ethics |
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| Bahan Kajian | - Konsep digital, model dan strategi komunikasi, penelusuran, dan kolaborasi digital secara efektif dan positif
- Pemanfaatan digital tools
- Prinsip-prinsip literasi data, artificial intellegence, machine learning dan deep learning
- Pemanfaatan AI untuk riset dan penulisan karya ilmiah
- Integritas dan etika akademik
- Integritas dan etika dalam riset, proyek. dan publikasi ilmiah
| - Digital concepts, models and strategies for effective and positive digital communication, search and collaboration
- Utilization of digital tools
- Principles of data literacy, artificial intelligence, machine learning and deep learning
- Utilization of AI for research and writing scientific papers
- Academic integrity and ethics
- Integrity and ethics in research, projects. and scientific publications
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu memahami konsep digital, model dan strategi untuk berkomunikasi, berkolaborasi, melakukan penelusuran, mengkonsumsi, membuat, dan mendistribusikan informasi dalam dunia digital secara efektif dan positif
- Mampu memanfaatkan digital tools secara efektif dan positif
- Mampu memahami prinsip-prinsip literasi data, artificial intellegence, machine learning dan deep learning
- Mampu memanfaatkan Al untuk riset dan penulisan karya ilmiah secara efektif dan beretika
- Mampu menghayati, menghormati, dan menegakkan integritas dan etika akademik.
- Mampu menghayati, menghormati, dan menegakkan integritas dan etika dalam melakukan riset. proyek, dan publikasi ilmiah
| - Able to understand digital concepts, models and strategies for communicating, collaborating, searching, consuming, creating and distributing information in the digital world effectively and positively
- Able to utilize digital tools effectively and positively
- Able to understand the principles of data literacy, artificial intelligence, machine learning and deep learning
- Able to use AI for research and writing scientific papers effectively and ethically
- Able to appreciate, respect and uphold academic integrity and ethics.
- Able to appreciate, respect and uphold integrity and ethics in conducting research. projects, and scientific publications
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| Metode Pembelajaran | Kuliah, Tutorial, Diskusi, Kerja kelompok, PBL, RBL. | Lectures, Tutorials, Discussions, Group work, PBL, RBL. |
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| Modalitas Pembelajaran | Pra-kuliah, Pra-kuis, Pembelajaran aktif, Tugas, Kuis | Pre-lecture, Pre-quiz, Active learning, Assignments, Quizzes |
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| Jenis Nilai | ABCDE |
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| Metode Penilaian | Kuis, UTS, UAS, RBL | Quizzes, UTS, UAS, RBL |
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| Catatan Tambahan | MKWI | MKWI |
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