This handbook explains the rationale behind supervised practice, and addresses design, supervision, and ethical components that are relevant to both faculty teaching supervised practice courses and supervisors overseeing students on-site.
Styled as a complete update to the 1991 book "Administration and Leadership in Student Affairs", this work addresses issues of importance to student affairs professionals. Grounded in human development, learning, leadership, group dynamics, management theories, and social science research and evaluation methods, this book articulates the means for college student affairs administrators to function in the forefront of student learning and personal development initiatives. The book focuses on the three essential roles played by student affairs administrators: as educators who play a significant role in addressing the academic goals of their institutions, as leaders who help to shape the vision of their institution's student affairs practice and education mission, and as managers who are responsible for co-ordinating programs and services, supervising staff, and overseeing university facilities and budgets.
Developed for use by graduate students preparing for careers in higher education administration who are enrolled in practicum and internship courses in higher education administration or student affairs programs.
This series of six core module texts and five new optional unit texts provides comprehensive coverage of Vocational AS and A Level Business Studies. Each book focuses on vocational aspects of business, rather than theoretical models, allowing the reader to understand how businesses operate.
Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.
This is a facsimile reprint of the 1964 edition published in New York by Russell & Russell, Inc., which was itself an enlarged version of the original produced in 1867 by the Narragansett Club Publications, Providence, RI.
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