Guías-E

1. General information

Course:

SCIENTIFIC RESEARCH IN CRIMINOLOGY I

Code:

51601

Type:

BASIC

ECTS credits:

6

Degree:

397 - DEGREE IN CRIMILOLOGY

Academic year:

2023-24

Center:

3 - FACULTY OF LAW OF ALBACETE

Group(s):

10

Year:

1

Duration:

First semester

Main language:

Spanish

Second language:

English

Use of additional languages:

English Friendly:

N

Web site:

Bilingual:

N

Lecturer: MATIAS GAMEZ MARTINEZ - Group(s): 10

Building/Office

Department

Phone number

Email

Office hours

Facultad de Ciencias Económicas y Empresariales. Despacho 3.13

ECONOMÍA APLICADA I

926053495

matias.gamez@uclm.es

2. Pre-Requisites

Not established

3. Justification in the curriculum, relation to other subjects and to the profession

Not established

4. Degree competences achieved in this course

Course competences
Code	Description
CB02	Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area.
CB03	Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues.
CB04	Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences.
CE07	To identify sources of crime information and interpret crime-related data.
CE08	To design an empirical research project, apply quantitative and qualitative research techniques, and analyse data appropriately.
CG01	To develop creative and entrepreneurial skills to formulate, design and manage projects in the field of criminology.
CT02	Knowledge of Information and Communication Technologies.
CT04	Ethical commitment and professional ethics.

5. Objectives or Learning Outcomes

Course learning outcomes
Description
To know the basic statistical sources in Criminology.
To know the basic statistical inference techniques in Criminology.
To master the basic statistical concepts to carry out quantitative data analysis. To identify and know how to apply these concepts in criminological research projects.
To interpret and carry out basic multivariate statistical methods to model the relationship between the variables and their application in Criminology.
To operate basic statistical software for the analysis of quantitative data and its application in Criminology.
To enable critical reasoning and the ability to evaluate quantitative information in the Criminology field.
To enable critical reasoning and the ability to evaluate quantitative information obtained using the usual statistical techniques in Criminology.
Additional outcomes
Not established.

6. Units / Contents

Unit 1:
- Unit 1.1:
- Unit 1.3:
Unit 2:
- Unit 2.2:
- Unit 2.3:
Unit 3:
- Unit 3.1:
- Unit 3.2:
- Unit 3.3:

7. Activities, Units/Modules and Methodology

Training Activity	Methodology	Related Competences (only degrees before RD 822/2021)	ECTS	Hours	As	Com	Description
Class Attendance (practical) [ON-SITE]	Problem solving and exercises	CB02 CB03 CE08 CT02	1.12	28	N	N
Class Attendance (theory) [ON-SITE]	Lectures	CB03 CB04 CE07 CT02	1.12	28	N	N
Progress test [ON-SITE]	Assessment tests	CB02 CB04 CE08	0.08	2	Y	Y
Individual tutoring sessions [ON-SITE]	Other Methodologies	CB04 CE08 CG01 CT04	0.08	2	N	N
Writing of reports or projects [OFF-SITE]	Self-study	CB02 CB03 CB04 CE07 CE08 CG01	2.6	65	Y	N
Study and Exam Preparation [OFF-SITE]	Self-study	CB04 CT02	1	25	N	N
Total:			6	150
Total credits of in-class work: 2.4			Total class time hours: 60
Total credits of out of class work: 3.6			Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System

Evaluation System	Continuous assessment	Non-continuous evaluation *	Description
Progress Tests	70.00%	70.00%
Assessment of problem solving and/or case studies	20.00%	30.00%
Assessment of active participation	10.00%	0.00%
Total:	100.00%	100.00%

According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:

Continuous assessment:

Evaluation criteria not defined
Non-continuous evaluation:

Evaluation criteria not defined

Specifications for the resit/retake exam:

Evaluation criteria not defined

Specifications for the second resit / retake exam:

Evaluation criteria not defined

9. Assignments, course calendar and important dates

Not related to the syllabus/contents
Hours	hours
Progress test [PRESENCIAL][Assessment tests]	2

Unit 1 (de 3):
Activities	Hours
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises]	8
Class Attendance (theory) [PRESENCIAL][Lectures]	8
Individual tutoring sessions [PRESENCIAL][Other Methodologies]	.5
Writing of reports or projects [AUTÓNOMA][Self-study]	15
Study and Exam Preparation [AUTÓNOMA][Self-study]	7

Unit 2 (de 3):
Activities	Hours
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises]	10
Class Attendance (theory) [PRESENCIAL][Lectures]	10
Individual tutoring sessions [PRESENCIAL][Other Methodologies]	.75
Writing of reports or projects [AUTÓNOMA][Self-study]	20
Study and Exam Preparation [AUTÓNOMA][Self-study]	10

Unit 3 (de 3):
Activities	Hours
Class Attendance (practical) [PRESENCIAL][Problem solving and exercises]	10
Class Attendance (theory) [PRESENCIAL][Lectures]	10
Individual tutoring sessions [PRESENCIAL][Other Methodologies]	.75
Writing of reports or projects [AUTÓNOMA][Self-study]	30
Study and Exam Preparation [AUTÓNOMA][Self-study]	8

Global activity
Activities	hours

10. Bibliography and Sources

Author(s)	Title	Citv	Publishing house	ISBN	Year	Link
	Página web: Instituto Nacional de Estadística					www.ine.es
Bachman, R. & Paternoster, R.	Statistics for criminology and criminal justice /		,SAGE,	978-1-5443-7570-0	2021
Berihuete Macías, Ángel	Estadística descriptiva y probabilidad para criminólogos /		Editorial UCA,	978-84-9828-704-2	2018
Peña, D. y Roma, J.	Estadística para Ciencias Sociales	Nueva York	McGraw-Hill	9788448116170	1997
Piquero, A.R. &Weiburd, D.	Handbook of quantitative criminology /		Springer,	978-1-4614-1388-2	2013
Siegel, S. y Castellón, N. J.	Estadística no paramétrica aplicadas a las Ciencias de la Conducta	Méjico	Trilla	9789682451019	1995