GEOINFORMATION II

Course Information
TitleΓΕΩΠΛΗΡΟΦΟΡΙΚΗ II / GEOINFORMATION II
CodeΥ33
FacultyEngineering
SchoolRural and Surveying Engineering
Cycle / Level1st / Undergraduate
Teaching PeriodSpring
CoordinatorVasileios Tsioukas
CommonNo
StatusActive
Course ID20001028

Programme of Study: UPS of School of Rural and Surveing Engineering

Registered students: 207
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Courses215
Class Information
Academic Year2018 – 2019
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
600128789
Course Type 2016-2020
  • Background
  • Skills Development
Course Type 2011-2015
General Foundation
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Prerequisites
Required Courses
  • Υ05 GEOINFORMATION I
Learning Outcomes
Develop programs in Python and Visual Basic for solving basic surveying engineering problems.
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
  • Generate new research ideas
  • Design and manage projects
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to Python programming. Command line interpreter and IDE. Data types and complicate data structures. Operators and expressions. Control flow. User defined functions. Lists and object-oriented programming. Input/output. Simple programming exercises in Visual Basic and Python for solving surveying engineering problems.
Educational Material Types
  • Notes
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
  • Use of ICT in Student Assessment
Description
Use videoprojectors in class and PC lab (TopoLab). Use of PCs and appropriate software for exercises . Communication of the students with the instructors' team through the e-learning platform and e-mail .
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures13✓✓
Laboratory Work12✓✓
Interactive Teaching in Information Center12✓✓
Total37
Student Assessment
Description
Exams take place in the computers laboratory where students are asked to develop a program in Python and Visual Basic.
Student Assessment methods
  • Oral Exams (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
http://dide.flo.sch.gr/Plinet/Meetings/Meeting23/A_Byte_of_Python-el.pdf
Last Update
30-05-2018