Course Overview

Introduction to basics in statistics and data analysis in
environmental and geophysical sciences. Practical work is conducted
using  the R environment.

Learning Achievement

Competence

Course prerequisites

- Correct written and oral competences in English.
- Knowledge of basic software (e.g. word, Excel).
- Bachelor degree level knowledge in Earth and/or Life Sciences, or
Physics, or Chemistry.

Grading Philosophy

> First Session:

- 1 practical exam of 1.5 h (50% of overall mark).
- 1 written exam of 1.5 h (50% of the overall mark).

> Second Session:

- 1 written exam of 1.5 hour, or,
- 1 oral exam (50% of the overall mark).

The student needs a mark of 100/200 to validate this module.

Course schedule

> PROGRAM:

_1.INTRODUCTION_

- Generalities and Definitions
- Research Stages in Environmental and Geological Sciences

_2.RANDOM VARIABLE_

- Discrete Random Variable
- Binomial Distribution
- Continuous Random Variable
- Normal Distribution
- Chi-Square, Student, and Fisher Distribution

_3.SAMPLE AND POPULATION: STATISTICAL INFERENCE_

- Statistical Inference
- Method of Maximum Likelihood
- Confidence Intervals
- Tests of Hypotheses fora Normal Population
- Analysis of Variance (Anova)

_4.BIVARIATE ANALYSIS_

- Bivariate Analysis and Correlation

- Bivariate Normal or Two Dimensional Normal Distribution
- Tests of Correlations

_5.REGRESSION ANALYSIS_

- Multiple Linear Regression
- Statistical Tests in Multiple Regression

_6. MULTIVARIATE ANALYSIS_

- Factor Analysis
- Empirical Orthogonal Function
- Cluster Analysis

_7.TIME-SERIES ANALYSIS _

Course type

> 46 hours face-to-face teaching: - 24 hours of lectures, - 22 hours practical work. > 92 hours self-study: - 48 hours preparing written exams (50% of final mark). - 44 hours preparing practical exams (50% of final mark).

Online Course Requirement

Instructor

Other information

* Please note that the maximum capacity has been reached for the year
2021/2022Duration: 12 weeks (Fall Semester)

Language of instruction: English
Mode of delivery: Face-to-face teaching; Self-study hours

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