1. Introducing students to the nature of statistics in meteorology, climate data, and statistical measurements, and teaching them how to use and apply statistical methods in describing and analyzing weather and climate data.2. Providing the student with the skills of collecting, presenting and analyzing data with the aim of extracting and drawing conclusions about the various weather phenomena under study.3. Enlightening students with the foundations of the quantitative approach and the scientific method, highlighting the special importance of statistical and mathematical methods in measurement, clarifying the role of theories, laws and models in enriching climate knowledge, and introducing students to the sources of statistical data in the various fields of meteorology.4. Using and applying statistical methods and analyzes (regression analysis, correlation analysis, time series analysis, etc.) in solving different types of meteorological problems.
Intended learning outcomes
a. Knowledge and understanding:A.1 The student should familiarize himself with the methods of collecting, presenting and analyzing data.A.2 The student should remember the basic concepts and terms in statistics.A.3 The student describes the data using statistical measures while realizing their implications.A.4 The student should familiarize himself with statistical data in the field of meteorology and draw conclusions and recommendations.B. Mental skills:B.1 The student analyzes statistical charts and tables.B.2 The student should distinguish the outputs and calculations of the statistical methods used in the field of meteorology.B.3 The student proposes the appropriate probability distribution for each type of climate data.B.4 That the student employs the different climatic forms to determine the climate of a particular area. c. Practical and professional skills:C.1 The student should distinguish between the types of statistical data, the characteristics of each of them, and the fields of their uses, while providing the student with the skill of knowing the relationships between the phenomena under study.C.2 The student should be able to analyze and make decisions using statistical tools and concepts.C.3 The student should store the information and data in order to summarize or abbreviate them and display them in appropriate images, whether from the sample or the community, and draw conclusions and recommendations.C.4 The student should determine which statistical distributions are appropriate for the distribution of meteorological data.Dr.. General and transferable skills:D.1 The student should be able to present information and deduce equations and laws related to the service of weather and climate science.D.2 The student should be able to use appropriate audio and visual means in presenting the results obtained from his statistical analyzes of weather phenomena in the subject of his study.D.3 The student should be able to work in a group to learn climate statistical analysis using computer programs for statistical meteorology.D.4 The student should be able to relate weather variables and climate variables through the use of multiple statistical correlation coefficients.
