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Record Nr. |
UNINA9910786496103321 |
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Autore |
Kubota Ryuko |
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Titolo |
Demystifying Career Paths after Graduate School [[electronic resource] ] : A Guide for Second Language Professionals in Higher Education |
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Pubbl/distr/stampa |
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Charlotte, : IAP - Information Age Publishing, Inc., 2014 |
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ISBN |
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Descrizione fisica |
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1 online resource (238 p.) |
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Collana |
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Contemporary Language Education |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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English teachers - Employment |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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""Cover""; ""Series page""; ""Demystifying Career Paths after Graduate School""; ""Library of Congress Cataloging-in-Publication Data""; ""Contents""; ""Acknowledgements""; ""Preface""; ""Foreword""; ""Chapter 1: Introduction""; ""Chapter 2: Seeking a Faculty Position""; ""Chapter 3: The Research-Intensive University""; ""Chapter 4: Teaching-Focused University""; ""Chapter 5: Community College""; ""Chapter 6: Writing Center""; ""Chapter 7: Moving from North America to Overseas""; ""Chapter 8: Working in Canada""; ""Chapter 9: Working in the United Kingdom"" |
""Chapter 10: Working in Hong Kong""""Chapter 11: Getting Tenure""; ""Chapter 12: Getting Grants""; ""Chapter 13: Getting Published and Doing Research""; ""Chapter 14: Involvement in Leadership Roles in Professional Organizations""; ""Chapter 15: Working as a Journal Editor""; ""Chapter 16: Assuming Administrative Duties""; ""Chapter 17: Balancing Professional and Personal Life""; ""Author Biographies"" |
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2. |
Record Nr. |
UNISANNIOMIL0086804 |
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Autore |
Cesarini Sforza, Widar |
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Titolo |
1: Filosofia e teoria generale / Widar Cesarini Sforza |
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Pubbl/distr/stampa |
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Milano, : A. Giuffre, 1967 |
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Descrizione fisica |
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Collana |
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Pubblicazioni della Facoltà di giurisprudenza dell'Università di Roma ; 26 |
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Disciplina |
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Soggetti |
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Diritto |
Filosofia del diritto |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910149377103321 |
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Autore |
Dalmaijer Edwin S. <1990-> |
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Titolo |
Python for experimental psychologists / / Edwin S. Dalmaijer |
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Pubbl/distr/stampa |
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London ; ; New York, N.Y. : , : Routledge, , 2017 |
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ISBN |
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9781315616933 |
1315616939 |
9781317206439 |
1317206436 |
9781317206446 |
1317206444 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (232 pages) : illustrations, tables |
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Disciplina |
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Soggetti |
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Psychology, Experimental - Data processing |
Psychology, Experimental - Research - Computer programs |
Python (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Python -- 2. Variable types -- 3. Creating and presenting stimuli -- 4. Processing responses -- 5. Scripting an experiment -- 6. Analysing behavioural data -- 7. Analysing traces -- 8. Eye tracking -- 9. Getting help. |
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Sommario/riassunto |
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Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced |
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techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python. |
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