Relevant bibliographies by topics / Excel

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Excel'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Excel"

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Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 2 (February 2015): 14–25. http://dx.doi.org/10.1080/01998595.2015.11090950.

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Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 3 (March 2015): 22–32. http://dx.doi.org/10.1080/01998595.2015.11414490.

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Ayer, Ganesh. "Excel in Excel®!*." Energy Engineering 112, no. 4 (April 2015): 50–61. http://dx.doi.org/10.1080/01998595.2015.11435394.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 1 (November 23, 2015): 53–65. http://dx.doi.org/10.1080/01998595.2016.11657082.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 2 (December 29, 2015): 63–74. http://dx.doi.org/10.1080/01998595.2016.11668653.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 4 (April 22, 2016): 26–40. http://dx.doi.org/10.1080/01998595.2016.11728655.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 113, no. 5 (July 2016): 18–28. http://dx.doi.org/10.1080/01998595.2016.11744689.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 1 (November 11, 2016): 19–38. http://dx.doi.org/10.1080/01998595.2017.11810159.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 2 (January 17, 2017): 56–65. http://dx.doi.org/10.1080/01998595.2017.11833485.

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Ayer, Ganesh. "Excel in Excel®!" Energy Engineering 114, no. 5 (May 2017): 8–17. http://dx.doi.org/10.1080/01998595.2017.11882306.

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Dissertations / Theses on the topic "Excel"

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Richter, Peter, and Staffan Nilsson. "Matematik med Excel för gymnasiet." Thesis, Karlstad University, Division for Engineering Sciences, Physics and Mathematics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-487.

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Syftet med denna uppsats är att konstruera ett antal undervisningsexempel i Excel för lärare och elever i gymnasieskolan.

I dagens näringsliv så vill man ha kort utvecklingstid av nya produkter. För detta så används exempelvis Excel och modeller av verkliga scenarion. Det blir därför viktigt/nödvändigt för dagens gymnasieelever att vara väl förtrogen med dessa utvecklingsverktyg.

Enligt skolverket, (2002) så skall mål i kursplanen i ämnet matematik i gymnasieskolan sträva mot:

Skolan skall i sin undervisning i matematik sträva efter att eleverna utvecklar sina kunskaper om hur matematiken används inom informationsteknik, samt hur informationsteknik kan användas vid problemlösning för att åskådliggöra matematiska samband och för att undersöka matematiska modeller.

Vi menar att datorstödd undervisning kan vara behjälplig för att främja inlärningen och höja elevernas motivation. I våra exempel har vi utgått ifrån att lärare skall kunna använda sig av dessa exempel utan någon större förberedelsetid. Läraren kan välja om han vill använda exemplen så som de är eller förändra exemplen. Det är också meningen att exemplen skall kunna fungera så att läraren ger i uppgift till eleverna att de skall bygga upp exemplen från grunden.

De framtagna exemplen anser vi vara en värdefull tillgång inom den laborativa matematiken i gymnasieskolan.


The aim of this essay is to construct a number of pedagogical examples in Excel to be used by teachers and students in Upper Secondary school.

In today’s trade and industry the wish is to reach as short developmental phases as possible for new products. To make this possible, Excel for example, and real scenarios can be used. Therefore it is important/necessary for today’s students at Upper Secondary school to be familiar with these developmental tools.

According to the National Swedish Agency for Education, the goal to strive for in the syllabus for Mathematics at Upper Secondary school is:

”The school should in its teaching in Mathematics, strive for helping the students develop their knowledge about how Mathematics is used within information technology, and also how information technology can be used while working with solution of a problem to illustrate mathematical connections and to examine mathematical models.”

We mean that computer-aided education could assist in the student’s education to support learning and motivation. Our examples assume that teachers should be able to use these examples without any further preparation. The teacher can choose if he/she prefers to use the examples as made up, or if they want to change them. The purpose is also to make it possible for teachers to give students as an assignment to construct the examples from scratch.

The constructed examples should, according to us, be used as a valuable supply within the laboratory mathematics in Upper Secondary school.

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Dandolu, Rajesekhar R. "Excel Sheet Based Semantic Email." TopSCHOLAR®, 2004. http://digitalcommons.wku.edu/theses/1101.

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EXCEL SHEET BASED SEMANTIC EMAIL Rajesekhar R, Dandolu December 10, 2004. 47 Pages Directed by: Dr. Guangming Xing Department of Computer Science Western Kentucky University The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. The Semantic Web envisions a portion of the World-Wide Web in which the underlying data is machine understandable and can thus be exploited for improved querying, aggregation, and interaction. Excel Sheet Based Semantic Email is a type of Semantic Web application, which deals with the understanding of emails received and performing corresponding actions according to the schema specified in the email. The user can compose an email structure and specify all the semantic actions and necessary information related to a particular schema. The emails received are processed according to the schema format to which they belong and corresponding semantic actions are taken. In this project, Semantic Email is implemented by encoding the information in Excel Sheets. It could be reengineered to support heterogeneous semantic actions based on the particular application. The project can be enhanced providing a web interface, apart from the email system that is currently used as the way of communication. The clients can directly use the web page,
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Emmons, Nelson L. "Mathematical modeling using Microsoft Excel." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/26053.

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Approved for public release; distribution is unlimited
The entry into higher mathematics begins with calculus. Rarely, however, does the calculus student recognize the full power and applications for the mathematical concepts and tools that are taught. Frank R. Giordano, Maurice D. Weir, and William P. Fox produced A First Course in Mathematical Modeling a unique text designed to address this shortcoming and teach the student how to identify, formulate, and interpret the real world in mathematical terms. Mathematical modeling is the application of mathematics to explain or predict real world behavior. Often real world data are collected and used to veriiy or validate (and sometimes formulate) a hypothetical model or scenario. Inevitably, in such situations, it is desirable and necessary to have computational support available to analyze the large amounts of data. Certainly this eliminates the tedious and inefficient hand calculations necessary to validate and apply the model (assuming the calculations can even be reasonably done by hand). The primary purpose of Mathematical Modeling Using Microsoft Excel is to provide instructions and examples for using the spreadsheet program Microsoft Excel to support a wide range of mathematical modeling applications. Microsoft Excel is a powerful spreadsheet program which allows the user to organize numerical data into an easy to follow on-screen grid of columns and rows. Our version of Excel is based on Microsoft Windows. In this text, it is not the intent to teach mathematical modeling, but rather to provide computer support for most of the modeling topics covered in A First Course in Mathematical Modeling. The examples given here are support that text as well
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Mohd, Shivan. "Queueing simulation using Excel 2000." Thesis, Stellenbosch : Stellenbosch University, 1999. http://hdl.handle.net/10019.1/85177.

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Thesis (MBA)--Stellenbosch University, 1999.
ENGLISH ABSTRACT: A mini-study project presented on the use of Microsoft Excel 2000 in the field of simulation. The mini-study project covers the principles of queuing and it’s outputs. The simulation model will test various scenario’s of queuing theory. Inputs can be changed to suit the users requirements. Results may be analysed to determine an optimal queuing environment.
AFRIKAANSE OPSOMMING: Hierdie mini-werkstuk illustreer die gebruik van Excel 2000 in die veld van simulasie. Die beginsels van toustaan modelle word gedek, asook die tipiese resultate. Die simulasiemodel modelleer en toets verskillende toustaan scenarios. Toevoere kan verander word na gelang van die gebruiker se keuse. Die resultate kan ontleed word om die optimale toustaan omgewing te bepaal.
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Kelly, Bryan. "USING EXCEL MACROS FOR CHARTING." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604487.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada
This paper introduces a set of macros that automate the importing of antenna data into Excel and charting that data. These macros (as discussed here) import data from a ViaSat ACUs (Antenna Control Unit) and a TCS ACU (Telemetry & Communications Systems Inc). After the import is complete, the macros can build a set of charts, all formatted and labeled in a predetermined and standard manner. A task that may take half a day or more can be completed in minutes. The concept and layout of the macros lend them to quick adaptation to your data. In scenarios of “test and collect” followed by “import and chart”, the data can be imported and charted within the minute.
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Бєлявцева, Т. В., and Ю. А. Біла. "Економічний аналіз засобами Microsoft Excel." Thesis, Видавництво СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/25233.

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Charvát, Karel. "Diskrétní simulace v MS Excel." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-11730.

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The topic of this thesis is discrete event simulation. The thesis introduces basic principles of discrete event simulation and Add-in SIMULANT for MS EXCEL 2007, which was created as a part of this thesis. Description of algorithms used in SIMULANT add-in and user guide are included in this thesis.
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Ekman, Harald. "Effektiv dimensionering av stånginfästningar i Excel." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154924.

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Byggbranschen anses ofta som långsam, dyr och ineffektiv, vilket skapar möjligheter till förbättring. Denna uppsats angriper projekteringsskedet då konstruktionsritningar skapas. Dimensionering av stålanslutningar kan upplevas som en komplicerad och lång process, speciellt vid handberäkning Det lämnar utrymme för effektivisering som på så sätt sparar både tid och pengar. Uppsatsen avgränsas till stålanslutningen stånginfästning som är vanligt förekommande i fackverkskonstruktioner av olika slag. Exempel på sådana konstruktioner är fackverkstakstolar, fackverksbroar samt vid stagning av andra konstruktioner med hänsyn till vippning och knäckning. En genomgång av dimensioneringsgången har gjorts och exempeluppgifter har skapats för att kunna tillämpa kunskaperna. Därefter programmerades samma dimensioneringsgång i Excel för att undersöka vilka möjligheter till effektivisering som finns med programvaran. En avgörande faktor till knutpunktens kapacitet uppmärksammades. Knutpunktens kapacitet beror till stor del av stängernas utformning i förhållande till varandra. Vidare observerades goda dimensioneringsmöjligheter i Excel där kontroller och dimensionering av alla möjliga stålprofiler utförs på ett ögonblick. Dessutom ges en visuell överblick av möjliga alternativ hållfasthetsmässigt men också ur ett ekonomiskt perspektiv. Stålprofilerna ställs mot varandra i grafer för att på så sätt förenkla valet av profil. Då fråga om tillgänglighet eller behov av anpassad redovisning av dimensioneringsberäkningar är aktuellt rekommenderas Excel.
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Кунцев, С. В., and Т. С. Філатова. "Використання VBA в діаграмах MS Excel." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/43863.

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Діаграми MS Excel мають широке поширення в діловій графіці Їх застосовують для швидкого визначення тенденцій зміни даних, оцінки проміжних або підсумкових даних. Використовуючи VBA, можна ефективно модифікувати діаграми [1,2,3], виконувати з ними різні операції. У даній роботі розглянуто типові приклади використання VBA в діаграмах. Всі приклади протестовані в MS Excel 2010.
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Andrade, Pinelo Antonio Miguel. "El análisis de sensibilidad en Excel." Gaceta Jurídica, 2013. http://hdl.handle.net/10757/605928.

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El presente informe tiene por finalidad presentar al lector, de manera práctica, los principales puntos a tomar en cuenta en la realización de un análisis de sensibilidad sobre la evaluación de un proyecto, para poder incorporar una estimación de su nivel de riesgo.
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Books on the topic "Excel"

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Jelen, Bill, and Joseph Rubin. Mr Excel ON EXCEL: Excel 97, 2000, 2002. Uniontown, OH: Holy Macro! Books, 2003.

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Jelen, Bill. Learn Excel 97 Through Excel 2007 from Mr. Excel. Chicago: Holy Macro! Books, 2008.

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Cao, Qing. Excel: Illustrated Excel for accounting. Hong Kong: Wan Li, 2000.

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Panas, Jerold. Excel! Chicago, Ill: Precept Press, 1997.

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Frye, Curtis. Excel. Madrid: Anaya Multimedia, 2006.

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Troubleshooting Microsoft Excel spreadsheets: Covers Excel 97 and Excel 2000. Redmond, Wash: Microsoft Press, 2001.

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Hargrove, Royce. Excel in mathematics: Excel in division. Cleveland, OH: Modern Curriculum Press, 1989.

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Weisskopf, Gene. Excel 2000 = Excel 2000: Bazovyi kurs. Kiev: Vek, 2000.

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Bill, Jelen, ed. Learn Excel 97 through 2007 from Mr Excel: 377 Excel mysteries solved. 2nd ed. Uniontown, OH: Holy Macro! Books, 2008.

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L, Spence Robert, and Modern Curriculum Press, eds. Excel in mathematics: Excel in advanced mathematics. Cleveland, OH: Modern Curriculum Press, 1989.

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Book chapters on the topic "Excel"

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Stephens, Rod. "Excel." In Microsoft Office Programming: A Guide for Experienced Developers, 343–410. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0795-5_8.

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Antonovich, Michael P. "Publishing Excel with Excel Services." In Office and SharePoint 2010 User’s Guide, 383–432. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-2761-8_8.

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Strey, Michael. "Power-Excel-Tools — SRD für Excel." In Power Tools, 315–24. Wiesbaden: Gabler Verlag, 2001. http://dx.doi.org/10.1007/978-3-322-84461-3_26.

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Burberg, Jürgen, and Peter Schneiderlöchner. "Excel aufrufen." In Microsoft® Excel 3. 0, 12–14. Wiesbaden: Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-663-14025-2_2.

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Zhou, Hong. "After Excel." In Learn Data Mining Through Excel, 211–13. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5982-5_13.

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Etheridge, Denise. "Customizing Excel." In Excel® Data Analysis, 324–35. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118983935.ch17.

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Kretschmer, Bernd, and Uwe Grigoleit. "Excel Diagramme." In Vieweg Software-Trainer Excel 4.0, 249–83. Wiesbaden: Vieweg+Teubner Verlag, 1992. http://dx.doi.org/10.1007/978-3-322-89724-4_7.

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Malik, Sahil, Srini Sistla, and Steve Wright. "Excel Services." In Pro SharePoint 2010 Business Intelligence Solutions, 245–305. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-3286-5_5.

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Wild, Hartlieb. "EXCEL — Startparameter." In 100 Rezepte für Excel 5.0, 9. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-663-11950-0_1.

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Singh, Manpreet, Sha Kanjoor Anandan, Sahil Malik, Srini Sistla, and Steve Wright. "Excel Services." In Pro SharePoint 2013 Business Intelligence Solutions, 247–303. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5894-0_5.

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Conference papers on the topic "Excel"

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Pan, Denise, and Gabrielle Wiersma. "Excelling with Excel: Advanced Excel Functions for Collection Analysis." In Charleston Conference. Against the Grain, 2014. http://dx.doi.org/10.5703/1288284315327.

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Hart, Mary. "Autism/excel study." In the 7th international ACM SIGACCESS conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1090785.1090811.

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Abu Doush, Iyad, Enrico Pontelli, Dominic Simon, Tran Cao Son, and Ou Ma. "Making Microsoft Excel™." In Proceeding of the eleventh international ACM SIGACCESS conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1639642.1639669.

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Henzl, Ctibor. "Electromagnetic field versus EXCEL." In SPIE Proceedings, edited by Jaromir Pistora, Kamil Postava, Miroslav Hrabovsky, and Banmali S. Rawat. SPIE, 2004. http://dx.doi.org/10.1117/12.560162.

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Dybdahl, Arne, Erkki Sutinen, and Jorma Tarhio. "On animation features of Excel." In the 6th annual conference on the teaching of computing and the 3rd annual conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/282991.283034.

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Pownall, Matthew. "Cameo Excel Importing Tool Options." In SAE WCX Digital Summit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-01-0833.

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Wang, Peng, Hong Luo, and Jie Liu. "Format-preserving encryption for Excel." In 2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2016. http://dx.doi.org/10.1109/icce-tw.2016.7520934.

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Ali, Akbar, Haider Ali, and Muhammad Ali Yousuf. "Simple Image Processing in Excel." In 2019 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2019. http://dx.doi.org/10.1109/isecon.2019.8882083.

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Fisk, Bob. "Using Excel for scientific calculations." In the 19th annual ACM SIGUCCS conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/122898.122899.

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Fujima, Jun, Shohei Yoshihara, and Yuzuru Tanaka. "Web Application Orchestration Using Excel." In IEEE/WIC/ACM International Conference on Web Intelligence (WI'07). IEEE, 2007. http://dx.doi.org/10.1109/wi.2007.136.

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Reports on the topic "Excel"

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Robayo Botiva, Diana María. Medidas de dispersión con Microsoft Excel. Ediciones Universidad Cooperativa de Colombia, December 2021. http://dx.doi.org/10.16925/gcgp.35.

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En esta guía se resolverá un ejercicio de contexto con algunas medidas de dispersión como la varianza, la desviación estándar y el coeficiente de variación para datos desagrupados. Las ecuaciones que se relacionarán son válidas tanto para variables cuantitativas continuas como discretas. Adicionalmente, el procedimiento hecho paso a paso en el ejercicio propuesto se validará con el desarrollo realizado a través de la herramienta ofimática Microsoft Excel. De esta manera, el estudiante tendrá una aplicación de apoyo para la verificación de los ejercicios propuestos para datos desagrupados en la última sección de la guía. La utilización de Microsoft Excel en estadística descriptiva tiene como fin introducir a los estudiantes —en especial, a los del área de ciencias económicas— en hojas de cálculo electrónicas, debido a su versatilidad en la realización de cálculos y tratamiento de datos. Asimismo, toda vez que manejar este tipo de herramientas informáticas se ha vuelto fundamental en prácticamente cualquier trabajo (Eclass, 2020), se considera importante su conocimiento por parte de los estudiantes. Es pertinente destacar que la aplicabilidad de Microsoft Excel incluye distintos sectores del mercado laboral; por ende, es una herramienta útil en diversas áreas de trabajo, como economía, administración, recursos humanos, entre otras, tanto en pequeñas como medianas empresas.
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McKee, G. Z Machine SF6 Usage Report (Excel Spreadsheet). Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1762064.

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None, None. Matrix-Based Process Modeling in Microsoft Excel. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1762712.

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Burnett, Tim. Using self-guided data exploration in Excel. Bristol, UK: The Economics Network, June 2020. http://dx.doi.org/10.53593/n3311a.

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Thomas, James P., and M. A. Qidwai. Excel Computational Design Tool: Multifunctional Structure-Battery Materials. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada413821.

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Ramsden, Andy. Low cost, low-tech online simulations with Excel. Bristol, UK: The Economics Network, October 2005. http://dx.doi.org/10.53593/n606a.

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Woods, Sara. Scripting Through Excel: TAAT as a Proof of Concept. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1338171.

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Whigham, David, and John Houston. On-line delivery and marking of Excel based assessments. Bristol, UK: The Economics Network, November 2002. http://dx.doi.org/10.53593/n592a.

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Barile, Lory. Using Excel to design an online statistics/ econometrics assessment. Bristol, UK: The Economics Network, July 2020. http://dx.doi.org/10.53593/n3313a.

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Sanguinito, Sean, Angela Goodman, and Foad Haeri. CO₂ Storage prospeCtive Resource Estimation Excel aNalysis (CO₂-SCREEN) User’s Manual. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1617640.

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