RDP3121: Scientific Research Methods

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"Scientific Research Methods" is a 15 credits module and is designed for students in Year III Rural Development in the Department of Rural Development and Agricultural Economics. The module is composed of two learning units: Research Methodology I and Biometrics.

Aim

(i) To make the student able to design, to implement  & organize, to carry out and to write various research tasks.

(ii) To make student familiar with basic knowledge of Data Management; Data collection and Analysis and application of software in problems solving

(iii) To make the student familiar with basic concepts in planning and analysis of Agricultural experiment.

Learning Outcomes 

  Having successfully completed the module, students should be able to:

_to improve the mathematical tools in economics and more particularly in development economics

-to Manipulate Data using various software

-Analyze problems with help of appropriate tools and define and evaluate relations between all aspects

-Write a research report and present the results

Lecturers' contacts 

1. Dr Celestin Bigirimana, 0788764361, celbigirimana@gmail.com

2. 

Indicative Resources:

The following textbooks are recommended for reading:

Eric L. Einspruch (2005). An introductory guide to SPSS for Windows, 2^nd ed. Sage Publications, Inc. ISBN 1-4129-0415-3

Gilat A. MATLAB. An Introduction with Applications. Fourth edition. Ohio.USA

 Joaquim P. Marques de Sá (2007). Applied Statistics Using SPSS, STATISTICA,MATLAB and R. Springer Berlin Heidelberg New York. ISBN 978-3-540-71971-7

Peter Dalgaard (2008). Introductory Statistics with R, 2^nd ed. Springer Science+Business Media, LLC. e-ISBN: 978-0-387-79054-1

Prabhanjan Narayanachar Tattar, Suresh Ramaiah & B.G. Manjunath (2016). A course in statistics with R. John Wiley & Sons, Ltd. ISBN: 9781119152729

Sabine Landau and Brian S. Everitt (2004). A handbook of statistical analyses using SPSS. Chapman & Hall/CRC Press LLC. ISBN 1-58488-369-3

Sally A. Lesik (2010). Applied Statistical Inference with MINITAB. CRC Press, Taylor & Francis Group. ISBN-13: 978-1-4200-6584-8 (eBook - PDF)

Trevor Wegner (2013). Applied Business Statistics Methods and Excel-based Applications, 3^rd Ed. Juta and Company Ltd.  ISBN: 978 0 7021 9709 3 (Web PDF).

Wim Buysse, Roger Stern and Ric Coe (2004). GenStat Discovery Edition for everyday use. World Agroforestry Centre. ISBN 92 9059 158 7