Engineering Data Analysis with MATLAB®

Dr. Tanvir Mustafy is a distinguished figure in the field of structural engineering, renowned for his expertise in complex finite element modeling at the micro level of structures, injury biomechanics, machine learning, and analytic mechanics. With a rich academic and research background, Dr. Mustafy has made significant contributions to the advancement of structural engineering. He holds a master of science (MSc) degree in structural engineering from the University of Alberta, Canada, and a bachelor of science (BSc) degree from the Bangladesh University of Engineering and Technology (BUET) in Dhaka, Bangladesh. Throughout his career, Dr. Tanvir Mustafy has consistently demonstrated a passion for research and a commitment to pushing the boundaries of structural engineering. His work continues to inspire and shape the future of the field, making him a respected authority in the academic and scientific community. Dr. Tauhid Rahman earned his PhD in environmental engineering from Tohoku University, Japan, in 2009. He did his MSc in environmental engineering, land, and water engineering from KTH, Sweden, and his BSc in civil engineering from Bangladesh University of Engineering and Technology, Bangladesh. He is currently a professor in the CE Department of MIST. His research interests are water quality modeling, land use change detection, climate change, water insecurity, micro-climate effects, etc. Nafisa Siddiqui is an accomplished educator with a bachelor of science in mathematics from the University of Texas at Austin, USA. She has served as a mathematics teaching assistant at Texas A&M University Kingsville and the University of Texas at Tyler, demonstrating her dedication to facilitating mathematical learning. Nafisa’s commitment to education and her strong academic background make her a valuable asset in the field of mathematics.

1. Getting Started. 2. Data Types and Visualization. 3. Random Variable and Probability Distribution. 4. Discrete Probability Distribution. 5. Continuous Probability Distribution. 6. Descriptive Statistics. 7. Inferential Statistics. 8. Parametric Tests. 9. Non-Parametric Testing. 10. Correlation. 11. Regression.