Official NUC CCMAS syllabus
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Add GET 305 to my StudyOps — free →Descriptive statistics, frequency distribution, populations and sample, central tendency, variance data sampling, mean, median, mode, mean deviation, percentiles, etc. Probability. Binomial, Poisson hyper-geometric, normal distributions, etc. Statistical inference intervals, test hypothesis and significance. Regression and correlation. Introduction to big data analytics and cloud computing applications. Introduction to the R language; R as a calculator; Vectors, matrices, factors, data frames and other R collections. Iteration and looping control structures. Conditionals and other controls. Designing, using and extending functions. The Apply Family. Statistical modelling and inference in R. .GET 306: Renewable Energy Systems and Technology (3 Units C: LH 30; PH 45) Learning Outcomes At the end of the course, the students should be able to: 1. identify the types, uses and advantages of renewable energy in relation to climate change; 2. design for use the various renewable energy systems; 3. recognise and analyse the current energy systems in Nigeria, their impacts on development and the global energy demand and supply scenarios; 4. appreciate the environmental impact of energy exploitation and utilisation, and pursue the sustainable development of renewable energy for various applications; and 5. recognise the exploitation, excavation, production, and processing of fossil fuels
Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study GET 305.