Information Technology

• Apply basic methods, interactions, and effects related to the visualization of features, data, and their relationships.
• Select appropriate visualizations based on the target audience, the complexity, and the context.
• To critically evaluate the impact and validity of visualizations

• Big Data models, techniques, and tools for solving complex real-world problems
  • to select,
  • to adapt
  • and apply.

• Data Science – A Brief Overview
• Big Data frameworks
• Pipelines
• Summary case studies on current issues and trends in the field, with a special focus on big data.

• • Case Study 1 – Mining Twitter
  • Case Study 2 – Scientific Data Processing
  • Case Study 3 – Defining Software Architectures
  • Case Study 4 - Automotive - Material Cost Estimation
  • Case Study 5 – Healthcare Platform

• distinguish between a conceptual and a relational database model.
• Apply sorting algorithms (heap sort, merge sort, quick sort, etc.).
• Describe search algorithms (linear search, binary search, depth-first search, breadth-first search) and graphs (Kruskal's algorithm, Dijkstra's algorithm, ...).

• Design data warehousing and OLAP architectures.
• Perform data modeling, data governance, and data analysis.
• to use data mining techniques (classification, association analysis, clustering, numerical forecasting).

• Conceptual models in ME/R notation, analyses tailored to specific requirements, star and snowflake schemas for sales analysis
• Decision trees based on the 1-R and ID3 algorithms
• PRISM: A Method for Generating Decision Rules
• Differences between supervised and unsupervised learning
• k-Nearest Neighbors (kNN) Classification Method
• Determining the error rates of classification methods
• Finding association rules using the APRIORI algorithm
• Single-link, complete-link, and average-link dendrograms
• Numerical Forecasts and Classifications Using Regression Models

• to make use of concepts from advanced statistical analysis methods.
• Interpret the results of statistical analyses correctly.

• Apply basic methods, interactions, and effects related to the visualization of features, data, and their relationships.
• Select appropriate visualizations based on the target audience, the complexity, and the context.
• To critically evaluate the impact and validity of visualizations.

• Tools and applications for data extraction, storage, analysis, and visualization (Tableau)
• Self-service applications
• Integrated Applications

• to understand the fundamental concepts, principles, and techniques of computational intelligence and AI.
• classify various machine learning and deep learning techniques (neural networks, support vector machines, decision trees, etc.).
• evaluate existing AI models and solutions, identify their strengths and weaknesses, and suggest improvements or adjustments.

• Introduction to Computational Intelligence and AI
  • Fundamentals of Computational Intelligence and AI
  • Applications of AI
  • Ethics in AI
• Knowledge graphs
  • Fundamentals of Knowledge Graphs
  • Creating knowledge graphs
• Machine Learning and Deep Learning
  • Machine learning approaches
  • Differences Between Machine Learning and Deep Learning
  • Fundamentals of Neural Networks

• Various techniques for machine learning and deep learning
  • Dynamic Programming Beam Search
  • Support Vector Machines (SVM)
  • Decision Trees and Random Forests
  • Convolutional Neural Networks (CNNs) for Image Processing
  • Recurrent Neural Networks (RNNs) for Sequential Data
• Deep Reinforcement Learning and Algorithms
  • Fundamentals of Reinforcement Learning
  • Algorithms for Deep Reinforcement Learning
• Evaluation and Improvement of AI Models
  • Evaluation of Classification and Regression Models
  • Improvements and adjustments to AI models
  • Strengths and weaknesses of AI models

• To evaluate knowledge management tools and measures in terms of their suitability for practical applications.
• to plan the implementation of knowledge management within an organization.
• To analyze aspects related to the implementation of knowledge management.

• derive process descriptions from brief task descriptions (requirements)
• Select and justify the appropriate tools and environments (online or local) for technical implementation (workflow)
• Designing and implementing modular workflows
• Define inputs, outputs, and intermediate steps, and document them in a traceable manner
• Systematically testing, debugging, and evaluating workflows for quality
• Properly handle data formats, interfaces, and dependencies
• to reflect on and take into account ethical, legal, and security-related aspects (e.g., data protection, fairness, copyright)
• Present the results of workflows and explain the technical approach that was chosen

• Introduction to Workflow Thinking: Key Concepts, Objectives, and Typical Architectures
• Analysis of brief task descriptions and development of process descriptions
• Specification of inputs, outputs, dependencies, data flows, and control flows
• Selection of appropriate environments and tools for local or online implementation, including an assessment of the pros and cons
• Implementation of executable workflows, from concept to production-ready pipeline
• Documentation (requirements, process diagrams, logs) and a clear rationale for decisions
• Ethical, legal, and security-related issues (data protection, copyright and licensing issues)
• Analysis, presentation, and critical discussion of the results

• Analyze requirements and translate them into 2–4 agent roles (role sheet: task, inputs, outputs, boundaries).
• derive a simple architecture and structure the flow/next-step logic, including stop criteria.
• Identify the required tools/actions (at least 2) and define their interfaces, inputs, and outputs (e.g., file reader, search/database, calculation/parsing tool).
• Structure outputs and intermediate steps (e.g., JSON/Markdown) and plan the documentation of the steps.
• Define test cases and briefly evaluate the quality of the results (e.g., completeness, correctness, traceability).
• Justify the choice of tools and architecture (explain why these roles/tools/sequence were selected—briefly).
• Assess and implement basic security measures.
• Implement the multi-agent workflow (executable/reproducible), including at least 2 tools/actions and clean data handovers.
• to improve the workflow iteratively (e.g., by adjusting roles, prompts, and stop criteria based on the tests).

• Agentic Foundations: Agents, Tool Use, Autonomy, Multi-Agent Cooperation
• Interfaces: Tool Calling/Function Calling, Files/Databases/APIs

• Operating models: Offline-first (local) vs. Cloud (scalability/managed tools)

• Quality: Tests, metrics (e.g., accuracy, completeness, cost)

• Security Issues (On-Premises and Cloud)

• Documentation: Charts, logs, rationale for decisions, lessons learned.

• Boolean algebra

• To understand discrete mathematics, graph theory, and algorithms.
• Applying metrics in data science.

• Number Theory and Its Applications in Cryptography, Combinatorics, and Relations
• Graph Theory and Algorithms
• Linear Algebra and Algorithms
• Logic
• Metrics in Data Science

• develop basic applications in Python.

• Develop applications for data analysis, extraction, and visualization in Python.

• Data analysis using relevant software packages in Python
• Basic concepts of data preparation, description, extraction, and visualization in Python
• Basic programming in the software package for the independent adaptation and creation of analysis methods

• Calculate key financial metrics.
• to calculate profitability and cost-effectiveness.

• understand and independently carry out relevant operational planning, budgeting, monitoring, and management processes.
• to understand the relationships between the individual planning steps as well as the planning and budgeting system as a whole.
• to prepare an integrated budget followed by a variance analysis and financial statement analysis in practice.

• Pricing Policy and Price-Volume Functions (PAF)
• Business Valuation Using Value Driver Models

• Systematics of the Subplans
• Planning variable and fixed overhead costs
• Income Statement by Cost Center
• Break-even analysis
• short-term price floor
• Integrated budget

• Direct cost variance
• Variance in variable and fixed overhead costs

• Balance Sheet
• Statement of Income
• Appendix

• Key Figures

Students are already able to,

• distinguish between the phases of the risk management process.
• To analyze IT security aspects within an information security management system.

Upon completion of the courses, students will be able to,

• to develop key strategies for business continuity planning and disaster recovery.
• use leading manuals and guides.
• to design a protection system for a specific infrastructure using the substance.

This course will illustrate concepts of business continuity planning and disaster recovery. Following an introduction to the fundamentals of business continuity and disaster recovery, key manuals and guidelines will be discussed, such as the relevant sections from the Austrian Security Manual, the BSI Basic Protection Compendium, the Bank of Japan’s guidelines, and the Business Continuity Institute (BCI) guidelines. The course focuses on preparation for and response to technical incidents and natural disasters.

• Classify computer systems and identify their basic components (…)
• Define the types, components, and requirements of various operating systems (Microsoft, Linux, etc.)
• Execute UNIX/DOS command-line commands
• Managing users in an operating system
• to list various transmission methods (wired/wireless), network topologies, and communication models (ISO/OSI)
• Terms such as confidentiality, integrity, availability, authenticity, non-repudiation, accountability, privacy, authentication, authorization, vulnerability, threat, risk, security, safety, and types of attacks (man-in-the-middle (MitM), spoofing, ...).

• understand the importance of secure web application development
• List and prevent the 10 most common web application attacks according to OWASP and their consequences
• Identify attack vectors and vulnerabilities and develop strategies to protect against them
• Integrating security components into a security strategy
• to understand that many attempted attacks exploit people’s willingness to help, ignorance, or carelessness, and to know what social engineering is and how to protect yourself from it
• Recognizing social engineering and developing strategies to protect against it.
• Graduates are able to reflect on ethical issues,
• to be able to identify the gray areas between what is legal and what is ethically correct.

• Web Application Security
• Attack scenarios
• OWASP Top 10
• Web Application Firewalls
• Social Engineering
• Fundamentals of Ethics, Ethics in the Context of Hacking

• to understand the security principles and architecture of cloud computing.
• You are familiar with the threats and potential security controls at the various levels of abstraction in the cloud.

• Fundamentals and Architecture of Cloud Computing,
• Security issues related to the various factors that come into play when using cloud services,
• Private & Public Cloud Security,
• Security recommendations for cloud systems,
• Virtualization Security: Chroot, Sandboxes, Containers, Hypervisors

• to understand the security principles and architecture of cloud computing.
• You are familiar with the threats and potential security controls at the various levels of abstraction in the cloud.

• Fundamentals and Architecture of Cloud Computing,
• Security issues related to the various factors that come into play when using cloud services,
• Private & Public Cloud Security,
• Security recommendations for cloud systems,
• Virtualization Security: Chroot, Sandboxes, Containers, Hypervisors

• Upon completion of the courses, students will be able to,
• apply fundamental cybersecurity principles that enable networks to be defended against all types of hackers.
• Using the latest technologies to prevent hackers from breaching a network.

• Risk Analysis and Threat Analysis
• Endpoint security
• Network Security
• Summary of the protocol and correlation

• Understanding organizational models and types.
• to reflect on management and organizational methods and tools.
• Classify roles and areas of responsibility within a complex organizational structure.

• Organization – what is it? Conditions in the history of humanity and the individual
• The Evolution of Hierarchy: What Will the Modern Hierarchy of the Future Look Like?
• Sociocracy as an Example of a Future-Oriented Organization; Pros and Cons, Plus Perspectives for Your Own Organization
• Management Strategies, ...from a Different Perspective: What Mistakes Should You Avoid?
• The Fair Boss; The Three Forms of Justice in Conflict with One Another
• Men and Women in Organizations: The Background of a Controversial Issue and Potential Solutions
• Organizational models, bureaucratic approach, staff-line model, matrix, process-oriented structure, etc.
• Stages of Organizational Development; Four Different Forms and Their Interrelationships
• Types of Organizations, Expeditionary Structure, and Their Predecessors
• The Delegation Continuum – A Decision-Making and Leadership Model

• describe the key models, concepts, and standards for industrial and IoT security.
• understand potential threats, vulnerabilities, and exploits in industrial and IoT environments.
• To assess IT security with regard to its implications and interfaces in industrial and IoT environments.
• to design technical industrial cybersecurity measures.

• Digitalization, Industry 4.0, and the IoT
• Secure Edge Computing
• Industrial Cyber Hygiene and Awareness
• Industrial Cyber Security Threats
• Best Practices for Industrial Asset Owners
• Standard IEC 62443

• to list the various tasks of IT management.
• to examine the integration of IT into the company, as well as its structure and organizational framework.
• distinguish between the different roles and organizational structures of IT departments.
• to describe key IT management systems.

• derive an IT strategy from the corporate strategy.
• to illustrate how IT interacts with and supports the core business.
• Choose from various sourcing models.
• Understanding and applying corporate social response models.
• To establish ethically sound practices and standards of conduct.

• Definition and Scope of IT Governance
• Impact on IT Strategy
• Business Alignment and IT Processes
• IT Controlling & IT Governance
• Outsourcing of IT Services
• IT Service Management & IT Governance
• IT Audit
• Challenges in Practice

• classify current cryptographic techniques and access control methods
• apply cryptographic techniques and methods to secure IT systems in practice
• to present selected communication protocols relevant to practice
• to respond to identified risks and vulnerabilities.
• learn from past mistakes in the use of cryptography.

• To provide comprehensive theoretical details on selected topics related to technical safety aspects.
• Identify recognized information security organizations and institutions.
• Use the documents provided by recognized organizations and institutions.

• Selected current topics in technical safety
• Safety measures and safety requirements
• Details on selected topics related to technical safety aspects
• A-SIT – Center for Secure Information Technologies – Austria
• BSI – Federal Office for Information Security
• ENISA - European Union Agency for Network and Information Security
• CERT – Computer Emergency Response Team Language of instruction: German (literature and materials may be in English)

• Developing web applications in PHP.
• Using MySQL or another relational database management system in PHP.
• Install and configure web servers.
• understand important configuration files and parameters, including virtual host configuration.
• Understand the concepts of load balancing techniques and methods, including reverse proxy servers and content delivery networks (CDNs).
• Understanding high-availability solutions and failover strategies.

• Apply and evaluate advanced concepts for developing scalable and high-performance web application architectures.
• to use version control systems.
• Implement DevOps practices.
• Implement strategies for testing and performance optimization.

• Architectural Design for Web Applications:
  • Advanced concepts for developing scalable and high-performance web application architectures.
  • Microservices architectures, serverless computing, and their applications in e-commerce systems.
  • Evaluation and selection of appropriate architectural patterns and approaches.
• Version Control and Collaboration:
  • Use of distributed and centralized version control systems such as Git and Subversion.
  • Collaborative development and teamwork in PHP projects.
• DevOps and Continuous Integration/Continuous Deployment (CI/CD):
  • Implementation of DevOps practices to automate deployment processes.
  • Setting up CI/CD pipelines for web applications.
  • Using containerization and orchestration for efficient development and deployment.
• Testing and Quality Assurance:
  • Advanced testing strategies, including unit tests, integration tests, and end-to-end tests.
  • Test automation and quality assurance tools.
  • Continuous Testing and Test Data Management.
• Performance Optimization:
  • Strategies for improving web application performance.
  • Load and performance testing, scaling optimization, and troubleshooting.

Students are already able to,

• Classify computer systems and identify their basic components (…)
• Define the types, components, and requirements of various operating systems (Microsoft, Linux, etc.)
• Execute UNIX/DOS command-line commands
• Managing users in an operating system
• to list various transmission methods (wired/wireless), network topologies, and communication models (ISO/OSI)
• Terms such as confidentiality, integrity, availability, authenticity, non-repudiation, accountability, privacy, authentication, authorization, vulnerability, threat, risk, security, safety, and types of attacks (man-in-the-middle (MitM), spoofing, ...).

Upon completion of this course, students will be able to

• understand the importance of secure web application development
• List and prevent the 10 most common web application attacks according to OWASP and their consequences
• Identify attack vectors and vulnerabilities and develop strategies to protect against them
• Integrating security components into a security strategy
• to understand that many attempted attacks exploit people’s willingness to help, ignorance, or carelessness, and to know what social engineering is and how to protect yourself from it
• Recognizing social engineering and developing strategies to protect against it.
• Graduates are able to reflect on ethical issues,
• to be able to identify the gray areas between what is legal and what is ethically correct.

• Web Application Security
• Attack scenarios
• OWASP Top 10
• Web Application Firewalls
• Social Engineering
• Fundamentals of Ethics, Ethics in the Context of Hacking

• Understand the terms "e-business" and "e-commerce."

• Understand the fundamentals of successfully building, operating, and further developing e-commerce systems.
• Developing concepts for new online store systems.
• to evaluate the technical and organizational requirements and strategic considerations of international e-commerce systems.

• Fundamentals and Goals of E-Commerce
• Special Features and Requirements for E-Commerce Systems
• Strategic Considerations in the Design of E-Commerce Systems
• Electronic Payments, Pricing, and Taxes
• Internationalization of E-Commerce Projects
• Legal Framework
• Overview of Sales Promotion Activities
• Security Considerations for Online Stores and Payment Systems
• Defining Requirements for an E-Commerce System
• An Overview of the Development and Implementation of an E-Commerce System

• Apply basic web development technologies, such as HTML and CSS.
• Apply basic algorithms and data structures.

• Write JavaScript functions to handle events and manipulate the DOM.
• Integrate AJAX (Asynchronous JavaScript and XML) to dynamically update content and communicate with the server in web applications.
• use common front-end frameworks and libraries such as React, Angular, or Vue.js.
• to design appealing user interfaces that work well on various devices and screen sizes (responsive web design).

• Review of Web Development Technologies:
  • HTML and HTML5 for structuring websites.
  • CSS and CSS3 for styling websites.

• Basics of JavaScript Programming:
  • JavaScript syntax, variables, data types, and operators.
  • Control structures (conditional statements, loops) in JavaScript.
  • Functions and their use in JavaScript.
• Document Object Model (DOM):
  • An understanding of the DOM and how it is used to dynamically manipulate web pages.
  • Event handling and the processing of user interactions.
• JavaScript frameworks and libraries:
  • An introduction to popular front-end frameworks and libraries such as React, Angular, and Vue.js.
  • Development of components and the use of framework-specific concepts.
• Asynchronous programming and data transmission:
  • Using Promises and async/await for asynchronous tasks.
  • Integration of AJAX (Asynchronous JavaScript and XML) for communicating with servers and retrieving data.
• Responsive Web Design and Accessibility:
  • Designing user interfaces that work well on various devices and screen sizes.
  • Media queries and the use of CSS frameworks to support responsive design.
  • Designing accessible user interfaces.
• Performance Optimization:
  • Optimization of loading times and resource consumption.
  • Lazy loading and code splitting to improve front-end performance.

• Classify legal issues into specific areas of law.
• To identify the legal provisions relevant to resolving specific legal issues.
• To provide an overview of the key legal aspects of computer science and to identify legally relevant issues in IT projects.

• Be able to identify and legally classify contractual and copyright issues related to web and e-commerce applications.
• The legal framework for the use of AI systems in software products.
• Identify legal risks associated with AI-generated content and propose appropriate measures to mitigate those risks.

• E-commerce applications (including sanctions, terms and conditions, and legal notice requirements)
• Data Protection Law
• Other relevant legal areas

• Types of Contracts in the Software Industry (e.g., Contract for Work and Materials, Service Contract, SaaS Contracts)
• Liability Issues and Warranty Provisions

• Overview (Definitions, Key Provisions of the Copyright Act)
• Protection of Software as a Work Protected by Copyright
• Rights of Use
• Consequences of Copyright Infringement

• Fundamentals (Definitions, Legal Framework for AI)
• AI-as-a-Service Contracts
• Legal Risks Associated with the Use of AI
• Copyright Issues Related to AI-Generated Content
• AI Act: Enforcement Measures and Penalties
• Liability Issues

• classify current cryptographic techniques and access control methods
• apply cryptographic techniques and methods to secure IT systems in practice
• to present selected communication protocols relevant to practice
• to respond to identified risks and vulnerabilities.
• learn from past mistakes in the use of cryptography.

• understand the structure of a marketing plan and be able to develop one.
• to understand the criteria used by companies to segment markets.

• to develop an analytical, structured marketing concept.
• develop sales-driven, creative solutions.
• Prepare estimates for customer acquisition and retention.
• Apply relevant tools of the marketing process.

• Fundamentals of Marketing
• The Marketing Process
• The Marketing Strategy
• The Marketing Mix as an Operational System

• Apply basic algorithms and data structures.
• Be familiar with basic software development methods.

• Developing web applications in PHP.
• Using MySQL or another relational database management system in PHP.
•  to develop applications for e-commerce platforms.

• Introduction to PHP and Web Development:
  • Basics of PHP Programming: Variables, Data Types, Operators.
  • Syntax and Object-Oriented Programming (OOP) in PHP
  • An understanding of HTTP protocols and the concept of web applications.
• Database integration:
  • MySQL or another relational database management system.
  • CRUD operations (Create, Read, Update, Delete) in PHP.
• Developments in e-commerce platforms:
  • User management and authentication.
  • Shopping cart management and order processing.
  • Integration of payment gateways and billing systems.

• Developing web applications in PHP.
• to use version control systems.
• Implement DevOps practices.
• Implement testing strategies.

• Develop test plans and test strategies.
• Prepare reports on test execution and software quality.
• Use tools for test automation and quality assurance of web software.

• Test Planning and Test Strategy
  • Development of a test plan and a test strategy
  • Identification of test objectives and criteria
  • Resource and Time Management in the Testing Process
•  Test design and test cases
  • Creation of test cases
  • Selection and Prioritization of Test Cases
  • Test Data Management
• Test automation
  • Benefits of Test Automation
  • Selection and Implementation of Test Automation Tools
  • Test script creation and maintenance
• Test Procedure and Reporting
  • Execution of test cases
  • Error Detection and Reporting
  • Reviews and metrics
  • Continuous Integration and Continuous Testing
  • Performance Testing and Scalability
• Tools for Web Software Quality Assurance
  • Overview of Test Management and Defect Tracking Tools
  • Tools for continuous integration and test automation
  • Security testing tools and frameworks

• Designing architectures and protocols for distributed systems
• list various networking devices used to connect different networks and understand how addressing works on the Internet
• to understand how the Internet works from a technical standpoint (protocols, packets, addressing, etc.)

• Install and configure web servers
• understand important configuration files and parameters, including virtual host configuration
• Understand the concepts of load-balancing techniques and methods, including reverse proxy servers and content delivery networks (CDNs)
• Understanding high-availability solutions and failover strategies

• Web Server Basics:
  • Installation and configuration of web servers.
  • Management of configuration files and options.
  • Secure deployment of web servers, taking SSL/TLS certificates into account.
• Load balancing and scalability:
  • Concepts and strategies for load balancing.
  • Use of reverse proxies and content delivery networks (CDNs) to improve performance and availability.
  • Basics of Docker and Kubernetes for scaling and managing web servers in containers.
• Performance Optimization:
  • Caching Strategies for Web Content.
  • Compressing resources and minimizing HTTP requests.
  • Optimizing load times and responsiveness.
• High availability and reliability:
  • Implementation of high-availability solutions and failover strategies.
  • Monitoring and automation for rapid service recovery.

• understand basic microeconomic concepts (household theory, production theory, price theory, market failure, etc.) and how they relate to one another.
• understand basic macroeconomic concepts (GDP, unemployment rate, inflation rate, etc.) and how they are related.
• Skill development
• Upon completion of the course, students will be able to
• describe key macroeconomic relationships for closed and open economies.
• analyze the effects of various economic policy measures independently and using the theoretical models they have learned.
• recognize macroeconomic relationships in a different context (e.g., economic news, business planning) and draw appropriate conclusions.
• describe complex relationships using simple models and use these models to derive recommendations for action.

• Advantages and Disadvantages of Free Trade and Trade Policy Measures
• Commodity and financial markets in closed and open economies, and the 2008 global financial crisis
• Various interest rates, exchange rates, and exchange rate regimes

• Calculate key financial metrics.
• to calculate profitability and cost-effectiveness.

• Implementing financing and investment models in practice.
• To justify financing and investment decisions based on sound theory.
• Assess the risks associated with investments.

• Introduction to Financial Mathematics
  • Interest paid year-round
  • Interest accrued during the year
• Types of financing
  • Distinction Between Equity and Debt
  • Equity financing
  • Internal financing
  • Debt financing
  • Mezzanine capital
  • Innovative financing methods
  • Application of the Shareholder Value Approach
  • Value driver models

• Investment Decisions and Their Evaluation
  • Dynamic investment calculation methods
• Taking into account risks associated with investments
  • Sensitivity analyses
  • Analytical Risk Analysis
  • Practical application
• The Relationship Between Long-Term and Short-Term Corporate Financial Statements
  • One company, multiple business invoices
  • Different corporate financial statements – different accounting metrics
  • The Preinreich–Lücke Theorem

• Determining the enterprise value
  • Economic Value Added
  • Market Value Added

Upon completion of the course, students will be able to

• Understanding organizational models and types.
• to reflect on management and organizational methods and tools.
• Classify roles and areas of responsibility within a complex organizational structure.

• Organization – what is it? Conditions in the history of humanity and the individual
• The Evolution of Hierarchy: What Will the Modern Hierarchy of the Future Look Like?
• Sociocracy as an Example of a Future-Oriented Organization; Pros and Cons, Plus Perspectives for Your Own Organization
• Management Strategies, ...from a Different Perspective: What Mistakes Should You Avoid?
• The Fair Boss; The Three Forms of Justice in Conflict with One Another
• Men and Women in Organizations: The Background of a Controversial Issue and Potential Solutions
• Organizational models, bureaucratic approach, staff-line model, matrix, process-oriented structure, etc.
• Stages of Organizational Development; Four Different Forms and Their Interrelationships
• Types of Organizations, Expeditionary Structure, and Their Predecessors
• The Delegation Continuum – A Decision-Making and Leadership Model

• Identify different leadership styles and their distinguishing characteristics.

• to understand the various responsibilities of IT management.
• to examine the integration of IT into the company, as well as its structure and organizational framework.
• to map the various roles and organizational structures of IT departments.
• outline key IT management systems.

• Lesson 1: IT Management
• Lesson 2: Organizational Structure
• Lesson 3: Integrating IT into the Company
• Lesson 4: Roles and Responsibilities in the IT Field
• Lesson 5: Process Organization
• Lesson 6: Management Systems
• Lesson 7: Managing IT Departments

• to define the term "project."
• Apply project management methods.

• Identify the specific characteristics and requirements of managing international IT projects.
• Assess the characteristics of international IT projects, as well as the specific requirements and unique features of such projects, across the various phases of project management.
• to develop a project proposal that takes into account the characteristics of international IT projects.

• to list the various tasks of IT management.
• to examine the integration of IT into the company, as well as its structure and organizational framework.
• distinguish between the different roles and organizational structures of IT departments.
• to describe key IT management systems.

• to summarize a previously selected framework or method.
• identify relevant aspects of a framework or method.
• Correctly classify aspects of a framework or a method.

• to list the various tasks of IT management.
• to examine the integration of IT into the company, as well as its structure and organizational framework.
• distinguish between the different roles and organizational structures of IT departments.
• to describe key IT management systems.

• derive an IT strategy from the corporate strategy.
• to illustrate how IT interacts with and supports the core business.
• Choose from various sourcing models.
• Understanding and applying corporate social response models.
• To establish ethically sound practices and standards of conduct.

• Definition and Scope of IT Governance
• Impact on IT Strategy
• Business Alignment and IT Processes
• IT Controlling & IT Governance
• Outsourcing of IT Services
• IT Service Management & IT Governance
• IT Audit
• Challenges in Practice

• to distinguish between strategic and operational IT management.
• to describe the structures of IT management (cost management, service management, key performance indicator systems, cost allocation, IT organization, policies, communication, human resources management, ...).

• Identify the key processes for IT organizations and compare them from different perspectives.
• Identify interface issues and conflicting priorities that arise in IT organizations.

• understand the structure of a marketing plan and be able to develop one.
• to understand the criteria used by companies to segment markets.

• to develop an analytical, structured marketing concept.
• to develop creative solutions that drive sales.
• Prepare estimates for customer acquisition and retention.
• Apply relevant tools of the marketing process.

• Fundamentals of Marketing
• The Marketing Process
• The Marketing Strategy
• The Marketing Mix as an Operational System

• Calculate key financial metrics.
• to calculate profitability and cost-effectiveness.

• understand and independently carry out relevant operational planning, budgeting, monitoring, and management processes.
• to understand the relationships between the individual planning steps as well as the planning and budgeting system as a whole.
• an integrated budget followed by variance analysis and financial statement analysis in the

• Pricing Policy and Price-Volume Functions (PAF)
• Business Valuation Using Value Driver Models

• Systematics of the Subplans
• Planning variable and fixed overhead costs
• Income Statement by Cost Center
• Break-even analysis
• short-term price floor
• Integrated budget

• Direct cost variance
• Variance in variable and fixed overhead costs

• Balance Sheet
• Statement of Income
• Appendix

• Key Figures