VIS 2351 - AI and Computer Simulation in Landscape Practice Learning Course

[VIS 2351 - AI and Computer Simulation in Landscape Practice Learning Course] VIS 2351 explores the integration of artificial intelligence (AI) and computer simulation techniques in landscape architecture and environmental design practice. This course investigates AI algorithms, machine learning models, and simulation software used for analyzing complex environmental systems, predicting landscape dynamics, and optimizing design outcomes. Students learn to apply computational tools for generating design alternatives, evaluating ecological impacts, and enhancing sustainability in landscape projects. Emphasis is placed on data-driven design strategies, parametric modeling, and the ethical implications of AI in environmental decision-making. Through computational workshops and case studies, participants gain practical skills in using AI and simulation technologies to innovate in landscape design, urban planning, and ecological restoration. VIS 2351 prepares students for roles as computational designers, environmental analysts, and sustainability consultants where expertise in AI and computer simulation enhances design creativity, environmental stewardship, and resilience in landscape practice. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.