D-TEA is composed of four courses delivered across two semesters in a sequential (non-parallel) format. This structure is designed to ensure a clear and coherent learning pathway. The linear organization serves two main purposes: • Focus and consolidation: Students from diverse disciplinary backgrounds can concentrate on one course at a time, promoting deeper understanding. • Progressive development of competencies: The minor follows a deliberate progression—from measurement and process understanding, to digital analysis, and finally to interdisciplinary application—ensuring curricular coherence and enabling students to effectively integrate their heterogeneous skills. In this framework, the present course—the second in the minor—introduces the second pillar, understanding of environmental processes, by equipping students with the fundamental concepts needed to estimate the order of magnitude of environmental variability in space and time, and to translate this understanding into measurement-system requirements (e.g., appropriate spatial/temporal resolution, accuracy, and sampling strategy). In this second course, the student cohort will collaborate more deeply through information exchange, via discipline-focused laboratories that include hands-on exercises using real data. This course introduces the dynamic behavior of environmental and infrastructure systems, with a focus on how key quantities vary in space and time. It covers how we measure these quantities, how we model them, and how we turn data into models, understanding, and decisions. Students will study an introduction of physical, chemical, and biological processes governing air pollution, hydrology, urban hydraulics, and sanitary engineering—then connect those processes to modern monitoring strategies and data interpretation workflows. The course covers air quality dynamics, including pollutant sources, atmospheric transport and dispersion, chemical/photochemical transformations, deposition, and the implications for exposure and control, as well as urban pollution and urban heat island effect. It then addresses hydrological dynamics—rainfall generation and variability, runoff formation, infiltration, evapotranspiration, soil moisture evolution, and the links between catchment properties and hydrologic response. Building on these foundations, the course examines hydraulic dynamics in engineered systems such as water distribution networks (demand fluctuations, transient behavior, leakage and losses) and urban drainage (flood generation, sewer–surface interactions, and performance under extreme events). Finally, the course explores sanitary engineering, focusing on civil and industrial wastewater characteristics, core treatment processes, and monitoring of pollutants and pathogens along collection and treatment chains. A central theme is measurement strategy and data quality: designing field campaigns and monitoring networks, selecting spatio-temporal resolution consistent with the target processes, quantifying uncertainty, and optimizing sensor placement to maximize information content and decision value. Students will learn data interpretation methods that relate observations to underlying mechanisms (e.g., dispersion vs. chemistry, rainfall forcing vs. runoff generation, demand patterns vs. hydraulic states, treatment performance vs. influent variability) and that scale point measurements to network and regional domains using process-aware modeling and appropriate aggregation/inference techniques. The course includes lab and field-oriented sessions where students implement and explore simplified to intermediate models of selected processes—such as atmospheric dispersion, rainfall–runoff transformation, groundwater flow, and hydraulic network behavior—using real or realistic datasets. By the end of the course, students will be able to design defensible monitoring plans, interpret heterogeneous environmental data in the context of governing processes, and build modeling workflows that support analysis, prediction, and operational decision-making in environmental and sanitary engineering.