Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||||||||||||||||||||
Subject | MATHEMATICS FOR CYBERSECURITY II - DATA, NETWORK AND INTERNET MATHEMATICS | Code | 01733113 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
6 | Optional | Second | First |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | MATEMATICAS |
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Coordinador |
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mcarv@unileon.es mttrom@unileon.es |
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Lecturers |
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Web | http://riasc.unileon.es | |||||||||||||||||||||||||||||||||||||||
General description | ||||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencies |
Type A | Code | Competences Specific |
A17082 | ||
A17095 | ||
Type B | Code | Competences Transversal |
B5220 | ||
B5221 | ||
B5222 | ||
B5223 | ||
B5224 | ||
B5225 | ||
Type C | Code | Competences Nuclear |
C1 | ||
C2 | ||
C3 | ||
C4 | ||
C5 |
Learning aims |
Competences | |||
C2 C3 |
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C1 C4 |
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C5 |
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A17082 A17095 |
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B5220 B5221 B5222 B5223 B5224 B5225 |
Contents |
Topic | Sub-topic |
Linear Algebra Data Analysis | Linear Algebra Data Analysis |
Spectral network theory | Spectral network theory |
Applications | Social Networks Cloud computing Critical Infrastructures Trustworthy user-controlled systems |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Portfolios/Learning folder | 5 | 30 | 35 | ||||||
PBL (Problem Based Learning) | 18 | 17 | 35 | ||||||
Lecture | 20 | 25 | 45 | ||||||
Extended-answer tests | 3 | 15 | 18 | ||||||
Oral tests | 2 | 15 | 17 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Portfolios/Learning folder | Technique for learning how to compile and organize evidence that encourages the student to reflect on his or her progress and demonstrates that he or she has achieved the professional competences which enable him or her to work professionally |
PBL (Problem Based Learning) | Strategy consisting of students resolving problems and reflecting on their learning experiences, normally working collaboratively |
Lecture | Description of the contents of the subject |
Personalized attention |
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Assessment |
Description | Qualification | ||
Portfolios/Learning folder | Continuous assessment | 30% | |
Oral tests | Oral tests, where applicable. Summative assessment | 20% | |
Extended-answer tests | Written tests, where applicable. Summative assessment | 20% | |
Others | Individual tests. Summative assessment | 50% | |
Other comments and second call | |||
<p>At any given time, an explanation / clarification of the documents submitted by the student may be required. <br />Students are supposed to know and accept the Regulations on Plagiarism of the University.</p><style type="text/css"> |
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
D.G. Zill, W.S. Wright, Advanced Engineering Mathematics, Jones and Bartlett Publishers Series in Matehmatics, 2011 o posterior E. Kreyszig, Advanced Engineering Mathematics, Wiley, 2011 o posterior R. Cohen, S. Havlin, Complex Networks, Structure, Robustness and Function, Cambridge University Press, 2010 Douglas B. West, Introduction to graph theory, Prentice Hall, 2001 o posterior Dan A Smovici, Linear Algebra Tools for Data Mining, World Scientific, 2012 o posterior |
Complementary | |
Recommendations |
Subjects that it is recommended to have taken before | ||
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