Online synchronous instruction. Three hours of lecture per week. Covers watershed hydrology and analysis of rainfall, evapotranspiration, infiltration, and runoff processes as well as hydraulic processes involved with pipe networks, open-channels with flow controls, and groundwater systems. Problem sets, modeling exercises and a research project report are required. Spring. Prerequisites: Fluid Mechanics. Note: Credit will not be granted for both ERE 340 and ERE 540.

Monday/Wednesday/Friday 9:30-10:25 AM

Online synchronous instruction. Three hours of lecture and three hours of laboratory and discussion per week. A qualitative and quantitative introduction to the fundamentals of acquiring, analyzing and utilizing remote sensing data. Introductory concepts and methods in digital image processing and photogrammetry. Prerequisite: ERE 371 Surveying for Engineers or permission of instructor. Note: Credit will not be granted for both ERE 365 and ERE 565.

Lecture: Tuesday/Thursday 12:30 - 1:50 PM; Lab: Tuesday or Thursday 2:00  - 4:50 PM

Blended instruction. Three hours of lecture per week. Covers fundamentals of thermodynamics and power needed for engineering systems analysis and applies methods such as life cycle analysis, sustainability analysis, and environmental impact analysis to non-renewable and renewable energy systems. A portion of the class is spent on open-ended problem solving and engineering design. Prerequisite: Physics II, Calculus II, ERE 275 Ecological Engineering. Note: Credit will not be granted for both ERE 380 and ERE 596 Section 1.

Monday/Wednesday 8:00 - 9:20 AM

Blended instruction. Three hours of lecture per week. Two laboratory exercises during three regular class meeting times, and an individual or group project. Design principles and practice of unit operations and processes for water and wastewater treatment. Study of the engineering concepts and design procedures for water and wastewater treatment. Prerequisite(s): General chemistry, microbiology, water quality, and fluid mechanics or hydraulics. Note: Credit will not be granted for both ERE 440 and ERE 640.

Monday/Wednesday 12:45-2:05 PM

Online synchronous instruction. Two hours of lecture, presentations and discussion per week. Introduction to technologies for recovery of bio-energy and nutrients from liquid wastes as well as the principles and applications of laboratory methods used in development and assessment of wastewater resource recovery processes. Presentation and discussion of experimental results for comprehensive analysis of anaerobic digesters. Prerequisites: One of ERE 480; FCH 510; and FCH515.

Tuesday/Thursday 8:25-9:20 AM

In-person instruction. Three hours of laboratory exercises per week on average. Conduct experiments for comprehensive analysis of anaerobic digesters, including feedstock and digestate characterization, biogas monitoring, analysis of anaerobic digestion kinetics, and recovery of ammonia and phosphate in digestate. Student groups prepare for presentations in ERE 520 class. Co-requisites: ERE 520.

Online synchronous instruction. Three hours of lecture/discussion per week. Drawing on a growing body of academic literature focused on better understanding the degree of uncertainty in future climate, this class provides the technical background to interpret and apply predictions of future climate changes (as primarily related to hydrology) in different locales and at different scales. Specific topics include: frequency analysis under non-stationary conditions, misconceptions in linkages between hydrology and climate, accessing and manipulating climate model files (netcdf), and strategies for decision making under uncertainty. Prerequisite: basic programming knowledge and prior hydrology/water resources class.

Tuesday/Thursday 12:30 - 1:50 PM

Online synchronous instruction. Two hours of lecture and three hours of lab per week. This course covers the basics of Synthetic Aperture RADAR (SAR) Remote Sensing and advanced Polarimetric SAR (PolSAR), both theory and applications for environmental monitoring. The course has both lecture and lab components. Fundamental concepts of SAR imaging systems such as target and sensor parameters, geometric correction, and scattering mechanisms, and advanced topics of Polarimetric SAR such as polarization descriptor and scattering operators, speckle noise filtering, Polarimetric decomposition, PolSAR image supervised and unsupervised classification will be deeply discussed in the lectures and practiced in the lab. Selected applications of PolSAR data for land cover mapping (e.g. agriculture, forest, wetlands, and water bodies), sea and ocean surface, and sea ice detection and discrimination will be covered both in lectures and in the lab with real-world application cases.

Lecture: Monday/Wednesday 8:25-9:20 AM; Lab: Fridays 12:45-3:35 PM

Online synchronous instruction. Two hours of lecture and three hours of lab per week. This course provides an introduction to Unmanned Aerial Vehicle (UAV) also known as Unmanned Aerial Systems, Drones, or Remotely Piloted Aircraft System (RPAS) from the geospatial perspective with focus on data processing and photogrammetric analysis. The course starts with an introduction to UAV systems including UAV types and classification, regulatory issues, and sensors and platforms. It then continues to data collection and processing including mission planning, photogrammetric triangulations and bundle adjustment, sensor positioning and orientation, 3D surface reconstruction and image matching, robotic mapping and ortho generation. Finally, it provides an introduction to emerging UAV trends and technologies such as batteries, power, and payload issues as well as outlooks and challenges (societal, technological, regulatory and market) of using UAV. The course concludes with student presentations on various UAV applications in forestry and agriculture, environmental monitoring, surveying and construction, mapping (including 3D mapping) and geomatics, and disaster management. The course has three components including lectures, labs (using Pix4D and PCI Geomatics), and student projects and presentations.

Lecture: Monday/Wednesday 9:30-10:25 AM; Lab: Fridays 8:25-11:30 AM

Online synchronous instruction. Three hours of lecture and discussion per week. This class will take a deep dive into the global carbon cycling, examining the natural world from the leaves of the trees to the microbes in the soil, applying principles of science and mathematics to look at the leading contemporary methodologies for measuring and predicting carbon fluxes. We will examine a wide host of ecosystems including terrestrial (e.g. forests, wetlands, grasslands) and marine ecosystems, looking at published data to analyze and interpret the way the natural world interacts with atmospheric carbon dioxide. We will also study anthropogenic effects on the carbon cycle, including historic and present day carbon emissions (i.e. energy and transportation grid emissions, hydrofracking fugitive emissions, etc.) as well as innovative technological and economic ideas that seek to address climate change (i.e. carbon trading, carbon capture and storage). We will study the impact of related engineering technologies on the global climate carbon cycle. Pre-requisites: ecology, chemistry, differential equations.

Monday/Wednesday 3:45 - 5:05 PM

Blended instruction. Two hours of lecture and three hours of lab per week. This course aims to introduce state-of-the-art techniques and computational methods commonly used for probing dynamic microbial systems. We will study lab techniques for biomolecules (i.e., DNA, RNA, protein), cells, and communities, and survey computational methods and public databases applicable to different types of data. This course will also examine applications of the variety of techniques and methods to microbes in diverse natural and engineered environments (e.g., human body, soil/sediment, wastewater treatment plant). We will use examples from recent literature to illustrate microbial systems at the cellular, population, and community level, with an emphasis on synthetic biology (e.g., genetic engineering), population evolution (e.g., horizontal gene transfer under selective pressure), and community functionality (e.g., disturbance, resistance, recovery). Pre-requisites Chemistry I & II, microbiology, numerical and computing methods, or permission of instructor.

Lecture: Monday/Friday 11:40 AM - 12:35 PM; Lab Thursday 3:30-6:20 PM

Online synchronous instruction. Three hours of lecture per week. An exploration of deterministic and stochastic hydrologic models, model development, and the use of computer programming to construct, calibrate, manipulate, and interpret hydrologic models. Theoretical and analytical approaches to describing hydrologic processes, including precipitation, evapotranspiration, infiltration, surface runoff, percolation, and groundwater discharge. Stochastic techniques include frequency, trend, and regression analyses. Spring. Prerequisite(s): Introductory computer programming, Probability and Statistics, 1 year of Calculus. Note: Credit will not be granted for both ERE 445 and ERE 645.

Monday/Wednesday 2:15-3:35 PM

Online synchronous instruction. Three hours of lecture and discussion per week. Elements of digital image processing and analysis systems: Digital image representation, visual perception, sampling and quantization, pixel connectivity, Fourier transforms, image enhancement, filtering, image segmentation, edge detection, thresholding, representation schemes, descriptors, morphology, recognition and interpretation. Prerequisite(s): APM 391, ERE 335 or permission of instructor.

Tuesday/Thursday 9:30-10:50 AM