The course "Programming I" aims to provide students with the fundamental skills required to develop structured programs using the R language, with a focus on data manipulation, storage, and visualization. Upon successful completion of the course, students will be able to: - Understand the basics of programming and the role of programming in data analysis and computational thinking. - Recognize and use fundamental data structures in R, such as vectors, matrices, lists, and data frames, adapting them to different types of data problems. - Apply control structures (conditional statements and loops) to create logical, structured, and efficient programs. - Define and use functions in R to improve modularity, readability, and reusability of code. - Manage input and output operations, including reading from and writing to local files, as well as storing and retrieving data for further processing.

1. Introduction to Programming 2. Data Structures in R Language 3. Programming Structures in R Language 4. Functions in R Language 5. Data Input, Output, and Storage in R Language 6. Graphics in R Language

The course will be delivered through in-person sessions that combine the explanation of key concepts with hands-on exercises. The so-called lecture sessions will have a highly practical approach: core programming knowledge will be introduced through guided examples and in-class exercises, encouraging active engagement with the material. The practical sessions will take place in a tutored environment, where students will progressively apply what they have learned to develop skills in the analysis, design, implementation, testing, and documentation of programs in R. These sessions will support personalized learning and help consolidate the practical application of course content.