2 units · TCH department course · Nigerian universities
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What you'll be able to do (official learning outcomes)
construct appropriate graphical displays of data and understand the role of such displays in data analysis
perform statistical inference tasks using software and understand the calculations involved in such tasks and be aware of assumptions necessary for the validity of results
use and interpret statistical software package such as MINITAB, Design Expert to summarise and analyse industry data
make appropriate conclusions based on experimental results
plan and execute an experimental program to determine the performance of a chemical engineering system
evaluate the accuracy of the measurements taken;
communicate the results of the investigation in a number of ways.
Course contents
Chemical engineers must have an appreciation of the accuracy and reliability of measurements. This course provides a broad introductory knowledge of statistical techniques used in data analysis. It also seeks to link the measurement of various quantities with statistics to enable the analysis of the accuracy of the measurements. Statistical inference intervals, tests hypothesis and significance. Regression and correlation. Introduction to big data analytics and cloud computing applications. Students to have weekly or fortnightly computer laboratory-based assignments. 300 Level
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study TCH 206.