This course focuses on the rock mechanics aspects of Engineering Geology. The theme is characterization of the geologic environment for engineering and environmental investigations. Covered are the various exploration tools and methods, including: Collection and analysis of existing engineering data; Interpretation of remotely sensed imagery; Field and laboratory measurements of material properties; Measurement and characterization of rock discontinuities; Rock slope stability analysis; Stress, strain and failure of rocks and the importance of scale; Rock core logging; Rock mass rating; Rock support and reinforcement; Rock excavation, blasting and blast monitoring and control.

Mechanical properties of solid and fluid earth materials, stress and strain, earth pressures in soil and rock, tunnels, piles, and piers; flow through gates, wiers, spillways and culverts, hydraulics, seepage and Darcy's law as applied to the hydrologic sciences.

Introcudction to the basic principles of the hydrologic cycle and water budgets, precipitation and infiltration, evaporation and transpiration, stream flow, hydrograph analysis (floods), subsurface and groundwater flow, well hydraulics, water quality, and frequency analysis.

Study of the genesis and properties of earth materials (minerals,rocks,soil, water); consideration of volcanic,erosional, glacial, and earthquake processes along with the characterization of the earth's deep interior crustal and near-surface structure.Classroom study of minerals, crystals, fossils, and rocks as time permits.

Study of the genesis and properties of earth materials (minerals,rocks,soil, water); consideration of volcanic,erosional, glacial, and earthquake processes along with the characterization of the earth's deep interior crustal and near-surface structure.Classroom study of minerals, crystals, fossils, and rocks as time permits.

Review and applications of selected methods from differential equations, advanced engineering mathematics and geostatistics to problems encountered in geology, engineering geology, geophysics and hydrology.

Univariate and multivariate approaches to the analysis of spatial correlation and variability. Many disciplines, including geology, ecology and the environmental sciences regularly need to analyze and make predictions from data that is spatially autocorrelated. Mine reserve estimation, pollutant dispersal and the use of randomization tests in ecology are examples of where spatial statistics may be applied.

This course will introduce students to the fundamentals of a research project. Instruction will guide the students through the following stages of a research project: framing of a research problem, developing a hypothesis, collection and analysis of data and interpretation of results. Students will be introduced to the basics of qualitative and quantitative research methodologies. We will also review examples of lab and field oriented research projects. Emphasis will be placed on learning how to prepare a research proposal and a capstone project for the MSAG program.

This course will introduce numerical techniques for analyzing data and formulating models in Earth Science. Students will first be introduced to Octave, a high level computer programming language (equivalent to Matlab, but free of cost) that allows data analysis and manipulation, sophisticated plotting and numerical modeling from the same interface. Data analysis will focus on time series, pattern recognition, image/topography analysis, and correlation statistics; modeling will include groundwater and surface water flow, random processes, diffusion, and erosion and deposition. This will be a seminar-style course where discussion will be encouraged, and additional topicsmay be covered depending on student interest. Through project-based learning exercises students will gain proficiency in Octave which will be useful for allaspects of Earth science.