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  • GER 601: Independent Study

    1.00 - 6.00 Credits
    University of New England

    No description available at this time.
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  • GER 627: Pharmacology:Drugs & Behavior

    3.00 Credits
    University of New England

    Examination of the concepts in psychopharmacology, neurophysiology, psychoactive drug classification. Physiological, and psychological aspects of psychopharmacological agents used in the treatment of psychiatric disorder are presented. Psychopharmacology with the elderly population are explored including use and abuse of prescription and non prescription medications. (Cross- listed with SSW 627 and ACP 520)
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  • GER 640: Narrative Therapy with Elders

    3.00 Credits
    University of New England

    This advance practice course builds on the introduction to narrative therapy provided in Individual, Family, and Group Practice I. The course provides students the opportunity to further develop their knowledge and skills and narrative therapy through work with elders in the context of a unique practice experience. The course will be provided in partnership with an assisted-living facility in the area. Students will work one-on-one and in groups with elders at the facility while learning narrative therapy theory and practice. A closing ceremony will provide further narrative therapy opportunities. Topics to be covered in course include an overview of theories of aging, aging in sociocultural context, review of narrative therapy, ideas and theories, narrative practice techniques as applied to elders, ethical issues and practice with elders, and narrative approaches to issues of loss, aging, and dying.
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  • GER 670: Loss,Grief,Death & Dying in SW

    3.00 Credits
    University of New England

    This course takes an interdisciplinary approach to the study of grief, loss, dying and death. Through lecture, class discussion, case studies, video, and interface with community speakers students will explore theories, perspectives, and practice approaches related to losses, grief, and mourning throughout the life course and with both death and non-death experiences such as suicide, chronic illness/disability, immigrant and refugee experience, child sexual abuse and unexpected transitions in the life course. We will examine how the assumptive world is affected by trauma, tragedy, death and loss, and analyze the ethical and practice dilemmas inherent in working with individuals and families facing long-term caregiving and end of life decisions. Particular attention will be devoted to approaches that embrace compassionate and culturally sensitive practice and we will discuss communication skills, self-awareness and techniques/interventions that are used in a variety of settings with dying and bereaved clients. Students will also reflect on cultural, and spiritual beliefs and values that influence how personal meaning is constructed in relation to loss, grief and death and how these assumptions shape our work as caring professionals. Finally, students will examine the effect of death, dying, and loss on professional caregivers who encounter frequent and recurring experiences with tragedy and loss. Crosslisted with SSW 670.
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  • GIS 160: Intro Geographic Info Systems

    4.00 Credits
    University of New England

    Geographic Information Systems (GIS) are software packages with the tools to capture, store, retrieve, analyze, and display spatial data. GIS links data representing the spatial relationship of features in the world around us ( map information) to a database containing descriptive information about those objects. It can be used to aid in decision making and planning in a wide array of application disciplines from city planning to natural resource management. This course is an introductory course that covers the basics of GIS, including database design and development, spatial analysis, and the creation of cartographic output.
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  • GIS 160L: Intro Geo Info Systems Lab

    0.00 Credits
    University of New England

    No course description available.
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  • GIS 224: Remote Sensing

    4.00 Credits
    University of New England

    Remote sensing is a group of techniques for collecting information about an object and its surroundings without physical contact. Remote sensing technologies may be applied to a variety of disciplines and problems including environmental monitoring, oceanography, agriculture, resource management, and archaeology. This course will concentrate on the collection and analysis of spatial data using aerial photography and satellite imagery and explore the relationship between remote sensing and GIS. The classroom and laboratory times are combined and used for presentation of theory, followed by hands-on application of the technologies.
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  • GIS 224L: Remote Sensing Lab

    0.00 Credits
    University of New England

    No course description available.
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  • GIS 265: Global Positioning Systems

    2.00 Credits
    University of New England

    Global Positioning Systems (GPS) are satellite based navigational systems. A network of satellites orbiting the earth transmit highly accurate radio signals to earth bound receivers. These receivers use data transmitted by multiple satellites to triangulate the position of the receiver. This technology may be used for navigation, measuring terrain features, or mapping natural resources. When integrated with GIS, GPS becomes a powerful tool for capturing and ground truthing spatially referenced data. This course is an introduction to GPS, including an in depth look at the conceptual foundations of GPS, operational considerations in the use of GPS for navigation and mapping, and the application of GPS to the capture of spatially referenced data for use with GIS. Class time will be divided between lecture, fieldwork, and computer applications.
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  • GIS 364: Spatial Analysis

    3.00 Credits
    University of New England

    GIS can be used to answer complex questions about space using the logical connection between attribute data and map features and the analytical tools incorporated in GIS software. Applications include attribute and spatial queries on single and multiple layers, analysis of spatial point patterns, network analysis, surface and raster based analyses, and the construction of explanatory and predictive models. This class will cover the basics of spatial analysis including defining the problem in spatial terms, selecting appropriate data structures, understanding and utilizing spatial tools, conceptualizing and implementing models, interfacing with related technologies, and conveying model results through cartographic output and report generation.
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