Fundamentals of statistics applied to the water treatment process

Hello everyone, I extend a warm and friendly welcome to the MOOC: “Fundamentals of statistics applied to water treatment process”, which will give you a new perspective for the use of descriptive and inferential statistics in water treatment processes.

This MOOC will allow you to strengthen capacities for experiment design, sampling and data collection, analysis of wastewater plant performance and process control from statistical techniques.

In order to achieve the proposed objectives, the MOOC is developed in 4 Units, one per week, which lead the student to explore the following topics:

Week 1: Introduction to descriptive statistical concepts and graphic interpretation

Week 2: Estimation of data variability: concepts and applications

Week 3: Statistical analysis: Inference for process control, confidence intervals.

Week 4: Statistical analysis: ANOVA, complete randomized designs and complete randomized block design.

Welcome!

Learning Objectives

At the end of the course the student will be able to interpret datasets from water and wastewater treatment processes regarding descriptive statistics and inference.

Description

The application of statistics in several fields of engineering has been gaining relevance with respect to data systematization and process control utilizing statistical tools and fundamentals. In the drinking water and wastewater sector, the optimal control over the physicochemical and microbiological parameters play an important role in the successful performance of the treatment process. In this course, we will apply descriptive and inference statistics to identify and compare control variables through the implementation of practical activities related to wastewater and drinking water processes.

Welcome to the course

Students with basic knowledge on statistics and design who want to deepen in application to wastewater treatment systems.

Orientations and Tips

COMMITMENT: An essential aspect for the learner is commitment, it means that participants need to feel committed to practice online learning. This commitment means responsibility, motivation, discipline, planning, timing and participation.

EXPLORING THE PLATFORM: Before starting the development of the MOOC, it is recommended that students take a tour for each section of the course in order to identify the location of the various educational support resources, the information of the MOOC: the structure of the units or topics (content) and the learning path.

TECHNOLOGICAL RESOURCES: To develop a course it is recommended to have technological resources (computer, bandwidth, webcam, headsets)

Teacher Profile

Yeison Alberto Garcés Gómez: Electronic Engineer with a Master’s degree and a PhD degree in Engineering, with experience in statistics applied to engineering, in the appropriation of ICT for educational environments, in research the development of technologies applied to engineering, education and medicine. Peer reviewer for the Ministry of Science. Currently coordinator of the Line of Research in Didactics of Science. Juan Sebastián Arcila: Chemical Engineer, Master in Engineering from UN Colombia and PhD in Engineering, Environmental Engineering from UNAM México, with experience in biological and chemical wastewater treatment technologies. Currently a researcher of the GIDTA research group endorsed by the Colombia Ministry of Science.