Educational guide
IDENTIFYING DATA							2023_24
Subject	SOFTWARE ANALYSIS I					Code	01747007
Study programme	1747 - Máster Universitario de Investigación en Ciberseguridad
Descriptors	Credit.	Type	Year	Period
	4	Compulsory	First	First
Language	Castellano
Prerequisites
Department	ING.MECANICA,INFORMAT.AEROESP.
Coordinador	FERNÁNDEZ LLAMAS , CAMINO				E-mail	cferll@unileon.es fjrodl@unileon.es rrodf@unileon.es
Lecturers	FERNÁNDEZ LLAMAS , CAMINO RODRÍGUEZ LERA , FRANCISCO JAVIER RODRIGUEZ FERNANDEZ , RICARDO JULIO
Web	http://
General description
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. MATELLAN OLIVERA , VICENTE Secretario ING.MECANICA,INFORMAT.AEROESP. SANCHEZ GONZALEZ , LIDIA Vocal ING.MECANICA,INFORMAT.AEROESP. CASTEJON LIMAS , MANUEL Tribunal suplente Cargo Departamento Profesor Presidente CONDE GONZALEZ , MIGUEL ANGEL Secretario ING.MECANICA,INFORMAT.AEROESP. PEREZ GARCIA , HILDE Vocal ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS

Competencies

Type A	Code	Competences Specific
	A18797
Type B	Code	Competences Transversal
	B5729
	B5730
	B5731
	B5732
	B5733
	B5734
	B5735
	B5736
	B5737
	B5738
	B5739
	B5740
Type C	Code	Competences Nuclear
	C1
	C2
	C3
	C4
	C5

Learning aims

	Competences
Get technical skills for using the main tools for detecting and classifying malware. Perform simple reverse engineering exercises in the context of cybersecurity	A18797	B5733 B5734 B5736 B5738 B5739 B5740	C1 C2 C4 C5
Learn to communicate conclusions		B5729 B5730 B5731 B5732 B5735 B5737	C3

Contents

Topic	Sub-topic
	Basic knowledge of computer systems
	Introduction to binary code analysis
	Static binary code analysis techniques
	Software vulnerabilities and defenses

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
Personal tuition	1	0	1
Laboratory practicals	16	32	48
Assignments	0	15	15
Lecture	14	14	28
Objective short-answer tests	2	2	4
Practical tests	2	2	4
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies   ::  

	Description
Personal tuition	Monitoring student activity and progression. Advising, correcting and proposing improvement activities.
Laboratory practicals	Programming exercises based on lectures under the supervision of the teacher.
Assignments	Individual programming tasks that will be corrected by the teacher and defended by the student.
Lecture	Explanation of theoretical knowledge with the active participation of students.

Personalized attention

Personal tuition

Description The web page at agora.unileon.es includes the office hours for every teacher involved in the course.

Assessment

	Description	Qualification
Assignments	Coding and individual defense of the code.	30%-50%
Objective short-answer tests	Individual assessment of theoretical contents.	20%-40%
Practical tests	Evaluation of experience obtained by performing the practical assignments of the course.	10%-30%
Others	Part of the final mark assigned by the teacher depending on students active participation in the course.	10%
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic
Complementary

Recommendations