Syllabus query

Academic Year/course: 2017/18

423 - Bachelor's Degree in Civil Engineering

28711 - Statistics

Syllabus Information

Academic Year:
28711 - Statistics
Faculty / School:
175 - Escuela Universitaria Politécnica de La Almunia
423 - Bachelor's Degree in Civil Engineering
Second semester
Subject Type:
Basic Education

5.1. Methodological overview

The learning process designed for this subject is based on the following:


Strong interaction between the teacher/student. This interaction is brought into being through a division of work and responsibilities between the students and the teacher. Nevertheless, it must be taken into account that, to a certain degree, students can set their learning pace based on their own needs and availability, following the guidelines set by the teacher.


The current subject, Statistics, is conceived as a stand-alone combination of contents, yet organized into three fundamental and complementary forms, which are: the theoretical concepts of each teaching unit, the solving of problems or resolution of questions, at the same time supported by other activities.


The organization of teaching will be carried out using the following steps:

Theory Classes:
Theoretical activities carried out mainly through exposition by the teacher, where the theoretical supports of the subject are displayed, highlighting the fundamental, structuring them in topics and or sections, interrelating them.
Practical Classes:
The teacher resolves practical problems or cases for demonstrative purposes. This type of teaching complements the theory shown in the lectures with practical aspects.
Individual Tutorials:
Those carried out giving individual, personalized attention with a teacher from the department. Said tutorials may be in person or online.

5.2. Learning tasks

The programme offered to the student to help them achieve their target results is made up of the following activities…


Involves the active participation of the student, in a way that the results achieved in the learning process are developed, not taking away from those already set out, the activities are the following:

  • Face-to-face generic activities:
    • Theory Classes: The theoretical concepts of the subject are explained and illustrative examples are developed as support to the theory when necessary.
    • Practical Classes: Problems and practical cases are carried out, complementary to the theoretical concepts studied.
  • Generic non-class activities:
    • Study and understanding of the theory taught in the lectures.
    • Understanding and assimilation of the problems and practical cases solved in the practical classes.
    • Preparation of seminars, solutions to proposed problems, etc.
    • Preparation of the written tests for continuous assessment and final exams.

The subject has 6 ECTS credits, which represents 150 hours of student work in the subject during the trimester, in other words, 10 hours per week for 15 weeks of class.

5.3. Syllabus

Statistics program:

  1. Introduction to the Statistics Programming Language R
  2. Descriptive Statistics
  3. Probability Theory
  4. Random Variables
  5. Useful Distributions
  6. Multidimensional Random Variables
  7. Reliability Theory
  8. Linear Programming
  9. Point Estimates and Confidence Intervals
  10. Hypothesis test
  11. Multivariate Linear Regression

5.4. Course planning and calendar

The dates of the final exams will be those that are officially published at


1 1 R Introduction      
2 2 Descriptive Statistics 1st test 5 Descriptive St.
3 3 Probability 2nd test 5 Probability
4 4 Random Variables      
5 5 Distributions      
6     3rd control 5 Distributions
7 6 Multidimensional RV      
8 7 Reliability Theory 1st exam 35 Probability
9 8 Linear Programming 4th test 5 Linear Programming
10 9 Statistical Inference      
11   Confidence Intervals 5th test 5 Estimation
12 10 Hypothesis Tests      
14     6th test 5 Hyp. Tests
15 11 Linear Regression 2nd exam 35 Inference

5.5. Bibliography and recommended resources

Main resources


  • BB Canavos, George C.. Probabilidad y estadística : aplicaciones y métodos / George C. Canavos Mexico[etc.] : McGraw-Hill, cop. 1987
  • BB Introducción a la estadística y sus aplicaciones / Ricardo Cao Abad … [et al.] Madrid : Pirámide, D.L. 2001
  • BB Peña Sánchez de Rivera, Daniel. Fundamentos de estadística / Daniel Peña . - 1ª ed., 1ª reimp. Madrid : Alianza, 2005
  • BC Ardanuy Albajar, Ramon. Estadística para ingenieros / Ramon Ardanuy Albajar, Quintín Martín Martín . - 2a. ed. Salamanca : Hespérides, 1998
  • BC García Pérez, Alfonso. Estadística aplicada : Conceptos básicos/Alfonso García Pérez.. - 1ª edición Madrid : Universidad Nacional de Educación a Distancia, 1997

You can also view an updated reference list through the webpage of the UNIZAR Library: