# STATISTICAL COMPUTING

 Title ΣΤΑΤΙΣΤΙΚΗ ΥΠΟΛΟΓΙΣΤΙΚΗ / STATISTICAL COMPUTING Code NNA-08-06 Faculty Sciences School Informatics Cycle / Level 1st / Undergraduate Teaching Period Spring Coordinator Eleftherios Angelis Common No Status Active Course ID 600018370

### Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)

Registered students: 19
OrientationAttendance TypeSemesterYearECTS
GENIKĪ KATEUTHYNSĪYPOCΗREŌTIKO KATA EPILOGĪ845

 Academic Year 2019 – 2020 Class Period Spring Faculty Instructors Eleftherios Angelis 39hrs Weekly Hours 3 Class ID 600155597
Course Type 2016-2020
• Scientific Area
• Skills Development
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
• Face to face
Digital Course Content
Language of Instruction
• Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Basics in probabilities and statistics
Learning Outcomes
Cognitive: Programming techniques in statistical programming language (R) in combination with advanced statistical methodologies. Particular emphasis on the construction of appropriate statistical models to describe complex relationships. Skills: The student learns to use an advanced statistical language in order to be able to interpret data analysis results but also to construct models that explain relationships and are used in predictions.
General Competences
• Apply knowledge in practice
• Retrieve, analyse and synthesise data and information, with the use of necessary technologies
• Make decisions
• Work autonomously
• Generate new research ideas
Course Content (Syllabus)
Statistical programming techniques with R. Data structures for statistical analysis. Description and visualization of multivariate data. Hypotheses tests and multivariate methodologies focusing on algorithmic techniques for distribution estimation, random number generation, confidence intervals and hypothesis tests with resampling, non parametric regression, etc.
Keywords
Statistics, Statistical Programming, R language
Educational Material Types
• Slide presentations
• Book
Course Organization
Lectures39
Project10
Exams3
Total150
Student Assessment
Description
Mid-term and final exams, project
Student Assessment methods
• Written Assignment (Formative, Summative)
• Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Εισαγωγή στη Στατιστική Ανάλυση με το R, Michael J. Crawley, 2014, Εκδόσεις : Broken Hill, Π. Χ. Πασχαλίδης
Last Update
09-10-2020