Enterprise and IT Security (ENITS)

Do you aspire to a leadership position in the field of IT security? The advanced, comprehensive Master’s degree program Enterprise and IT Security (ENITS) of Offenburg University will open the doors for you and help you to achieve your goal.
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Data Analysis for Risk and Security Management

Prerequisite

Recommended knowledge and courses:

  • Statistics and Mathematics (Statistik und Mathematik)
  • Risk Management (Risikomanagement)
  • BCDR, Excel
  • Business Economics (Betriebswirtschaftslehre)
Teaching methods Lecture/Seminar
Learning target / Competences

After successful participation in the course students shall be able to:

  • work out and apply autonomously selected issues of international risk and security management
  • work out and apply chosen methods of quantitative risk management under guidance
  • develop an independent risk and security awareness and its application in current problem areas of enterprise security
Duration 1
SWS 4.0
Overview
Classes 60
Individual / Group work: 120
Workload 180
ECTS 6.0
Requirements for awarding credit points

Data Analysis for Risk and Security Management: Written exam K90 (1/2)
Global Risk and Security Management: Presentation RE + Oral exam M (20 min) (1/2)
Credits and grades

presentation (RE+M) + written exam (K90)
Responsible person

Prof. Dr. Dirk Drechsler
Recommended semester 2
Frequency Every 2nd sem.
Usability

Risk and security management in terms of quality and quantity is becoming more important with increasing digitalization on the one hand and acute threats to the global security situation on the other hand.
Lectures

Data Analysis for Risk and Security Management

Type Vorlesung
Nr. M+I812
SWS 2.0
Content
  1. Digital Business Ecosystems, Threat Landscape and Anomaly Detection
  2. A Refresher in Statistics
  3. Regression Analysis and Time Series Regression
  4. Markov Processes
  5. Time Series Forecasting (without Regression)
Literature
  • Anderson, David R. et al.: An Introduction to Management Science; Cengage; most recent edition.
  • Anderson. David R. et al.: Quantitative Methods for Business; Cengage; most recent edition.
  • Camm, Jeffrey D. et al.: Essentials of Business Analytics; Cengage; most recent edition.
  • Evans, James: Business Analytics; Pearson; most recent edition.
  • Selected scientific papers.

Global Risk and Security Management

Type Seminar
Nr. M+I813
SWS 2.0
Content

Actual topics related to the current risk and security situation.
Literature
  • Carrascosa, I.P. et al. (Eds.); Data Analytics and Decision Support for Cybersecurity; Springer; 2017.
  • Magnus, J.R.; Neudecker, H.; Matrix Differential Calculus; Third Edition; Wiley; 2019.
  • Maras, M.-H.; Cybercriminology; Oxford University Press; 2017.
  • Mehrotra, K.G. et al.; Anomaly Detection Principles and Alorithms; Springer; 2017.
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