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Quantitative Analysis for Data Communication and Networking Wednesday – Scientific method in problem solving, quantitative analysis procedure, decision making procedure, type of decision, quantitative analysis techniques.

Students should: Understand statistical methods and quantitative analysis technique Be able to apply quantitative analysis technique to make statistical decision Be able to use statistics tools and software appropriately Demonstrate the use of statistics in case studies You can read the Thai version but the PowerPoint slides in this course will all be in English.

WeekTopic / Detail 1 19August Course introduction : Basic statistics concept 2 26 August Lecturer’s not available 3 2 Sept Data collection : Population and sampling 4 9 Sept Data collection : Data collection and tools, Data preparation and presentation 5 16 Sept Descriptive Statistics : Frequency distribution, Measures of central tendency, Percentile, Dispersion, Kurtosis and Skewness, Correlation, Regression 6 23 Sept Self-study 7 30 Sept Student presentation 8 7 Oct Inferential Statistics : Parameter estimation Midterm examination October 2015

WeekTopic / Detail 9 21 Oct Inferential Statistics - Forming hypothesis - Hypothesis testing procedure - Test of Means Oct Inferential Statistics : Test of Means (cont.) 11 4 Nov Inferential Statistics : Proportion Test / Test for categorical data Nov Inferential Statistics : Test of Variance / Analysis of Variance (ANOVA) Nov Lecturer’s not available Nov Statistics tool - SPSS Student presentation and course summary Final examination 30 Nov – 3 Dec 2015 Lecturer will be travelling to conference after 4 Dec

Midterm25% Final30% Descriptive Statistics Assignment 20% Assignment15% Presentation5% Inferential Statistics Assignment25% Assignment 20% Presentation5%

Sucha Smanchat, PhD PhD in Information Technology, 2012 Monash University, Australia Master of Science in Information Technology (International Program), 2006 King Mongkut’s University of Technology North Bangkok Master of Information Technology (Minor Thesis), 2005 Monash University, Australia Bachelor of Engineering (Computer Engineering), 2002 King Mongkut’s Institute of Technology Ladkrabang

PhD Topic: Scheduling Parameter Sweep Workflow in the Grid Read posters outside my room Cloud computing Cloud workflow Workflow scheduling Data mining-as-a-service MapReduce

Counseling Hour Sucha: 3A05 (third floor), Monday afternoon

N. Lee and L. Lings, Doing Business Research: A Guide to Theory and Practice, SAGE, Or other books on statistics