STATISTICS AND COMPUTER APPLICATIONS

Course Information
TitleΣΤΑΤΙΣΤΙΚΗ ΚΑΙ ΠΡΟΓΡΑΜΜΑΤΙΣΤΙΚΕΣ ΕΦΑΡΜΟΓΕΣ / STATISTICS AND COMPUTER APPLICATIONS
CodeΣΧ0233
FacultyEngineering
SchoolRural and Surveying Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorVasileios Tsioukas
CommonNo
StatusActive
Course ID600016318
Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Weekly Hours4
Class ID
600131934
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
  • Face to face
Digital Course Content
Learning Outcomes
Use of statistical methods for the analysis and evaluation of data using programming techniques.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in an interdisciplinary team
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Sampling techniques. Nonparametric Tests. Simple & Multivariate Regression.Principal Components Analysis. Factor Analysis and Cluster Analysis. Applications of all the above mentioned statistical problems in a programmable environment (python) focusing on big data analysis.
Keywords
statistics, programming
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures52✓
Laboratory Work83✓
Reading Assigment90✓
Total225
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative, Summative)
  • Written Exam with Problem Solving (Formative, Summative)
Last Update
12-10-2018