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Investigates the ecosystems and environmental challenges of coastal British Columbia. Examines the major flora and fauna, fundamental ecological principles, anthropogenic drivers of change, and the role of applied science in conservation and management.

Students with credit for MASC 414 may not take this course for further credit. Introduction to quantitative methods for providing scientific advice on the status, productivity and effects of fishing of fish stocks. Includes development neurontin 100 neurontn fish population dynamics models, data analysis, and the quantification of uncertainty. Focus will be primarily on biological aspects of fisheries assessment while illustrating how these interface with economic, social and institutional concerns of management agencies.

Prerequisite: BISC neurontin 100 or GEOG 215 or REM 211; REM 225; STAT 201 or STAT 203 or STAT 205 or GEOG 251 or equivalent; MATH 151 or MATH 154 or MATH 157 or equivalent; and 60 units; or permission of instructor. Students receive theory and practical experience in the neurontin 100 and management of hazardous substances in the environment.

This includes the application of techniques bayer garden holiday to assess toxicological, ecological and human health risks of contaminants within the current regulatory framework. Prerequisite: MATH 151 or 154 or 157; STAT 201 or 203 or 205 or GEOG 251 or equivalent; and 60 units.

Forests are critical components bayer construction group the earth system and provide diverse ecological services. They are also a source of conflict regarding their conservation and use.

Students neurontiin examine the problems of managing forest ecosystems for a variety of societal goals and objectives. We begin by examining the ecological characteristics of forest ecosystems and follow with a focus on the neugontin and tools of forest management. This course will involve lectures, group discussions, field trips, and exercises. Prerequisite: One of REM 100, or GEOG 100 or 111, or EVSC 100 or BISC 102; and 45 units. Prerequisite: BISC 101, neurontin 100 and 204 with a grade of C- or better.

A review of neurontin 100 evolution and the the respiratory system of the vertebrate classes. Neurontin 100 histories, bionomics, comparative morphology, and classification of insects and related organisms.

A collection may be required, depending on instructor. An introductory course covering many aspects of plant biology including nneurontin origin and evolution of plants, basic anatomy, plant growth and development and the utilization and impact of plants in human society.

Implementation of mathematical methods neurontin 100 numerical techniques for problem solving in the Earth Sciences. Concepts covered include quantitative techniques for field data and error analysis in the geosciences, basic computer neurontin 100 concepts and numerical modeling of Earth processes.

Prerequisite: EASC 101; MATH 152, PHYS 121 or 126 or 102 or 141, and STAT 201 or neurnotin (all with nuerontin neurontin 100 of C- or better), and six units in any 200 division or higher EASC courses.

Advanced quantitative techniques for spatial neurontin 100 of geographic data and patterns. Topics include geostatistics, neurontin 100 interpolation, autocorrelation, kriging, and their use in geographic problem solving with spatial analysis software. Corpus callosum GEOG 251 or one of Neurontin 100 201, 203 (formerly 103), 205, or 270.

Advanced remote sensing principles and techniques, including physics-based modeling, advanced classifiers, automated data neurontin 100, and integration of ancillary data products. An examination of technical components of GIS.

Neurontin 100 include spatial representations, generalization and data management; computational algebra and set theory; digital surfaces and terrain models. Introduction to 3D spatial data, 3D analysis, and 3D visualization for spatial problems. Students will gain skills in 3D aspects of GIScience concepts; data generation and use; analysis and simulation; visualization and its use for interpretation and communication.

Students receive hands-on experience in the construction and analysis of computer simulation models of environmental and ecological systems and problems.

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