| Bahan Kajian | - Sejarah dan Teori Arsitektur Lanskap
- Sistem Alam dan Budaya
- Isu dan Permasalahan Sosial-Budaya di Negara Berkembang
- Komunikasi Profesional Arsitek Lanskap
- Konsep digital, model dan strategi komunikasi, penelusuran, dan
kolaborasi digital secara efektif dan positif
- Pemanfaatan digital tools
- Prinsip-prinsip literasi data, artificial intelligence, machine
learning, dan deep learning
- Integritas dan etika akademik
- Integritas dan etika dalam riset, proyek, dan publikasi ilmiah
| - History and Theory of Landscape Architecture
- Natural and Cultural Systems
- Socio-Cultural Issues and Problems in Developing Countries
- Landscape Architects Professional Communication
- Digital concepts, communication models and strategies, tracking, and effective and positive digital collaboration
- Utilization of digital tools
- Principles of data literacy, artificial intelligence, machine learning, and deep learning
- Academic integrity and ethics
- Integrity and ethics in research, projects, and scientific publications
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| Capaian Pembelajaran Mata Kuliah (CPMK) | - Mampu memahami isu dan permasalahan lanskap sebagai latar belakang melakukan penelitian arsitektur lanskap.
- Mampu memahami sistem alam (nature) dan budaya (culture) sebagai landasan analisis-sintesis dalam merespon isu maupun permasalahan perencanan, perancangan, dan pengelolaan lanskap.
- Mampu menganalisis isu dan permasalahan lanskap berikut solusi-solusinya sebagai dasar menentukan teori, pendekatan, maupun metode penelitian yang tepat.
- Mampu menerapkan metode penelitian secara tepat mulai dari penyusunan proposal penelitian, persiapan penelitian, pengumpulan dan pengolahan data, analisis dan sintesis data, penyajian dan pembahasan hasil, hingga penarikan kesimpulan, saran, dan rekomendasi penelitian.
- Mampu menanggapi, menilai, dan mengelola data penelitian secara baik dan benar terutama yang bersumber dari data primer hasil wawancara, kuesioner, maupun survei lapangan.
- Mampu merancang penelitian secara tepat sehingga dapat menghasilkan karya imliah Tesis yang baik, benar, bermanfaat, dan dapat dipertanggungjawabkan.
- Pemelajar memahami konsep dan sistem digital, transformasi digital, model dan
strategi untuk berkomunikasi, berkolaborasi, melakukan penelusuran,
mengkonsumsi, membuat, dan mendistribusikan informasi dalam dunia digital
secara efektif dan positif.
- Pemelajar dapat memanfaatkan digital tools secara efektif dan positif.
- Pemelajar memahami prinsip-prinsip literasi data, artificial intellegence (AI),
machine learning, dan deep learning
- Pemelajar memahami dan dapat memanfaatkan AI untuk riset dan penulisan karya
ilmiah secara efektif dan beretika.
- Pemelajar menghayati, menghormati, dan menegakkan integritas dan etika
akademik.
- Pemelajar menghayati, menghormati, dan menegakkan integritas dan etika dalam
melakukan riset, proyek, dan publikasi ilmiah.
| - Capable to understand landscape issues and problems as a background for conducting landscape architecture research.
- Capable to understand natural and cultural systems as the basis for analysis-synthesis in responding to issues and problems of landscape planning, design, and management.
- Capable to analyze landscape issues and problems and their solutions as the basis for determining the appropriate theory, approach, and research method.
- Capable to apply research methods appropriately starting from the preparation of research proposal, research preparation, data collection and processing, data analysis and synthesis, presentation and discussion of results, to drawing research conclusions, suggestions, and recommendations.
- Capable to respond, assess, and manage research data properly and correctly, especially those sourced from primary data such as results of interviews, questionnaires, and field surveys.
- Capable to design research appropriately to produce a thesis work that is good, correct, useful, and accountable.
- Understanding digital concepts and systems, digital transformation, and models and strategies for communicating, collaborating, browsing, consuming, creating, and distributing information in the digital world effectively and positively.
- Utilizing digital tools effectively and positively.
- Understanding the principles of data literacy, artificial intelligence (AI), machine learning, and deep learning.
- Understanding and utilizing AI for research and scientific writing effectively and ethically.
- Internalizing, respecting, and upholding academic integrity and ethics.
- Internalizing, respecting, and upholding academic integrity and ethics in conducting research, projects, and scientific publications.
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