Coding Lesson

In this blog, I would like to reflect on my future lesson plan, what does look like, which components must be added, etc. This lesson plan assumes that the students have no prior experience with coding. I will adjust time allocation and content based on the skills and experience of the students. part 1-coding I start my lesson by welcoming my students, and the importance of coding in today's world. Then I will highlight the advantages of learning coding skills,  explaining how learning coding will help them to prepare for their post-secondary school, and for their future career. After having reviewed the learning goals, success criteria, and lesson sequence:    overview of programming concepts:  I will be covering these basic concepts:  Explain basic programming concepts such as variables, data types, operators, and control structures.  I use examples and visual aids to help students understand the concepts. Hands-on coding exercise: Students work individually to work with a couple of coding exercises, This is an individual task, students need to think independently for approaching the solution. For those who are looking for more challenges, I provide a coding challenging project to work on. Provide assistance and guidance to students as needed.Review and feedback Consolidation :In the consolidation, I will be asking students to share their work with the class.Provide feedback on their coding skills and offer suggestions for improvement.Conclusion Summarize the key points covered in the class, and encourage students to continue learning and practicing coding some resources will be introduced for further extension.  I will answer any remaining questions. part 2- R -programming Setting up the environment (5 minutes) • Explain how to download and install R and R Studio. • Show how to create a new R script and run the first program. Data types and variables (10 minutes) o Discuss the different data types in R, including numeric, character, and logical data types. o Show how to assign values to variables and perform basic arithmetic operations. Vectors and operations (10 minutes) o Explain how to create and manipulate vectors in R. o Discuss basic vector operations, such as addition, multiplication, and indexing. Data frames (15 minutes) • Discuss the concept of data frames in R and its importance in data analysis. • Show how to create and manipulate data frames, including how to add and remove columns, filter rows, and perform basic aggregations. Plotting with ggplot2 (15 minutes) • Introduce the ggplot2 library for data visualization in R. • Show how to create basic plots, such as bar charts, histograms, and scatter plots. Practice and review (10 minutes) • Provide a brief exercise for the students to practice what they have learned. • Review the key concepts covered in the session. Conclusion (10 minutes) • Summarize the key points covered in the session. • Encourage students to continue learning and practicing R programming on their own. Second session : In the second session, students will learn some basic functions to Statistical Quantitative index and functions, such as mean, mode, and standard deviation, normal distribution, regression line,