305 LABORATORY OF APPLIED INFORMATICS
| Category: Mandatory-Elective Class Hours: 0 Laboratory Hours: 3 ECTS: 3 |
Course Type: Skills Development Prerequisite Courses: Language of Teaching and Exams: Greek Is the course offered to ERASMUS students: Yes (in English) |
Course Curriculum:
- Introduction to the R language. Basic concepts. Installing R and Rstudio.
- Data Objects. Vectors, Arrays, Arrays, Lists, Data Frames, Quantitative and qualitative variables.
- Mathematical Calculations. Mathematical operations. Reasonable Actions. Solving Linear Systems of Equations.
- Simple Graphs. Graphical Features. Types and Lines of Graphic Representation.
- Complex Graphs. Inserting data into Composite Charts.
- Simple Programming in R. Logical and Comparison Operators. Check and repeat commands. Reading and storing data structures and graphs.
- Advanced Programming in R. Building Functions. Functions with many results. Recursion using functions. Special orders.
- Time Series Analysis. Time Series Graphical Representations
Literature:
1. D. Ioannidis, I. Athanassiasis, Statistics and Machine Learning with R: Theory and Applications, Tziola Publications, 2017, Eudoxus Code: 59384938
2. J. Verzani, Introduction to Statistics with R, Kleidaritmos Publications, 2016, Eudoxus Code: 50656357
3. M.J Crawley, Statistical Analysis with R, Broken Hills Publishers, 2013, Eudoxus Code: 32997808
4. V. Verykios, V. Kaglis, H. Stavropoulos, “The science of data in from the R language“ , 2016, Eudoxus Code: 320151
5. D. Karlis, I. Dzoufras, “Introduction to Programming and Statistical Analysis with R”, 2016, Eudoxus Code: 320222
