Universidad Carlos III de Madrid Departamento de Ingeniería Telemática

Research Tools in Telematics Engineering

Curso 2012-2013

Course information
Studies Master in Telematics Engineering
Course 1st
Semester 1st
Credits 3
Teaching Staff Raquel M. Crespo García (coordinator)
Jesús Arias Fisteus
Pedro J. Muñoz Merino

Course Description

Contents

News

Objectives

The competencies that are reinforced in this course are:

After finishing the course, students will be able to:

Syllabus

The contents of the course are divided into two separated parts:

  1. Introduction to graphs in telematic systems
    • Definition of graph, properties, paths, loops, connectivity, types of graphs
    • Shortest path algorithms
  2. Applied statistics
    • Design of experiments: Research objectives, data gathering, methodology.
    • Descriptive statistics
    • Confidence intervals
    • Normality test, Levene test
    • Statistical hypothesis testing
    • Parametric tests such as t-test or ANOVA
    • Non-parametric tests such as Kruskal-Wallis or Mann-Whitney.
    • Correlation
    • Regression

Course planning (tentative)
Session Date Classroom Teacher Content
1 25/sep 4.0.E01 jaf Introduction to graph theory
2 2/oct 4.0.E01 jaf The shortest path problem
3 9/oct 4.S.D02 jaf Graph algorithms laboratory (1)
4 16/oct 4.S.D02 jaf Graph algorithms laboratory (2)
5 23/oct 4.S.D02 pmm Experimental design
6 30/oct 4.S.D02 pmm Descriptive statistics, confidence intervals, normality and Levene tests
7 6/nov 4.S.D02 pmm t-test
8 13/nov 4.S.D02 pmm ANOVA
9 20/nov 4.S.D02 pmm ANOVA
10 27/nov 4.S.D02 pmm Non-parametric tests
11 4/dec 4.S.D02 rcg Correlation & regression (1)
12 11/dec 4.S.D02 rcg Correlation & regression (2)
13 18/dec 4.S.D02 rcg Correlation & regression (3)
14 8/jan 4.S.D02 all Lab exam

Evaluación

AssessmentWeight
Resolution of practical cases about statistical analysis, and practical assignment about programming graph algorithms
Submissions
Lab exam
30%
20 %
Final exam50 %