WFM 5201: Data Management and Statistical Analysis

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WFM 5201 Data Management and Statistical Analysis
Syllabus

• Akm Saiful Islam

Institute of Water and Flood Management
(IWFM) Bangladesh University of Engineering and
Technology (BUET)
April, 2008
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Semester April 2008 Semester Instructor A.K.M.
Saiful Islam, Ph.D. Contact Room No. 306
Tel. [phone], Ext. 7923 (Off.)
Email akmsaifulislam_at_iwfm.buet.ac.bd
Web http//teacher.buet.ac.bd/akmsa
ifulislam Course Web page
http//teacher.buet.ac.bd/akmsaifulislam/datacours
e2008.htm
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Goals

• This course will provide an introduction to
  various sources and types of data used in
  hydrology.
• It will also help to understand common database
  management systems.
• The level of understanding should, upon
  completion of the course, be sufficient to
  understand and appreciate the important issues on
  hydrology where statistical methods are used in
  prediction and interpretation of hydrologic
  processes. 

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Topics in Course Content

• Descriptive statistics
• Exploratory data analysis
• Frequency analysis
• Correlation and regression
• Analysis of variance
• Database management

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Contd..

• Data requirement for water resources development
• Types and sources of data
• Time series data
• Homogeneity and stationarity of data
• Statistical interval, inference and hypothesis
  testing
• Statistical sampling
• Statistical software

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Grading

• Class Attendance 5
• Class Quiz 10Homework 10
• Midterm Exam 25 Final Exam
  40

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Reference Books

• Haan C.T. (1977) Statistical Methods in
  Hydrology, The Iowa State University Press, Ames.
• Warren Viessman and Gary Lewis (2003)
  Introduction to Hydrology, Prentice Hall.
• Lecture Notes on Statistics and Probability for
  Master in Risk Analysis and Management, Prepared
  by- Dr. M. Shahjahan Mondal
• In addition, papers in different relevant
  journals (e.g. Water Resources Research, Journal
  of Hydrologic Engineering, Hydrological Science
  Journal etc.) would be required.

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Thank you

• Dont forget to bring your calculator
• in the class