Coursebooks 2017-2018

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Caution, these contents corresponds to the coursebooks of last year


Spatial statistics and analysis

ENG-440

Lecturer(s) :

Berne Alexis
Golay François

Language:

English

Summary

The main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of different concepts and techniques devoted to spatial data.

Content

 

Learning Prerequisites

Recommended courses

Basics of Statistics
Basics of GIS

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Ex-cathedra + exercises + project

Assessment methods

30 % Two spot written checks during the semester (one for each teacher)
70 % One written exam (in two parts of 90 min each) during the exam session

In the programs

  • Energy Management and Sustainability, 2017-2018, Master semester 1
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
  • Energy Management and Sustainability, 2017-2018, Master semester 3
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks
    • Semester
       Fall
    • Exam form
       Written
    • Credits
      5
    • Subject examined
      Spatial statistics and analysis
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      1 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14 GRB001   
14-15GRB001
GRB330
    
15-16    
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Lecture
      Exercise, TP
      Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German