The quest for artificial intelligence has captured humanity’s interest for many decades and has been an active research area since the 1960s. This course will give a detailed overview of the historical developments, successes, and set-backs in AI, as well as the development and use of expert systems in early AI systems.

In order to understand cognitive processes, the course will give a brief overview of the biological brain and (human) cognitive processes and then focus on the development of modern AI systems fueled by recent developments in hard- and software. Particular focus will be given to discussion of the development of “narrow AI” systems for specific use cases vs. the creation of general artificial intelligence.

The course will give an overview of a wide range of potential application areas in artificial intelligence, including industry sectors such as autonomous driving and mobility, medicine, finance, retail, and manufacturing.

1. History of AI
   1. Historical Developments
   2. AI Winter
   3. Notable Advances in AI
2. Expert Systems
   1. Overview Over Expert Systems
   2. Introduction to Prolog
3. Neuroscience
   1. The (Human) Brain
   2. Cognitive Processes
4. Modern AI Systems
   1. Recent Developments in Hard- and Software
   2. Narrow vs General AI
   3. NLP and Computer Vision
5. AI Application Areas
   1. Autonomous Vehicles & Mobility
   2. Personalized Medicine
   3. FinTech
   4. Retail & Industry

The purpose of this course is to introduce students to the concepts involved in IT project management. This is achieved through the development of an understanding of the fundamental tenets of project management enhancing the students’ ability to apply their knowledge, skills and competencies in analyzing and solving IT project management problems. A special focus is put on the specifics of IT project organization, cost management and the human factor within IT projects.

1. Introduction: Characteristics of IT Projects
   1. Defining IT Projects
   2. Overview on Typical Roles and Phases of IT Projects
   3. Risks and Challenges of IT Projects
   4. Role of an IT Project Manager
2. Organizing the Work
   1. Project Breakdown Structure, Work Packages
   2. Prioritization
   3. Time Planning, Milestones, Gantt-Diagram
   4. Definition of Done
3. Cost Estimation and Controlling
   1. Challenges of Cost Estimation in IT Projects
   2. Estimation Techniques: 3-Point Estimation, Double Blind Expert Estimation, Function Points
   3. Cost Controlling Using Earned Value Analysis
   4. Risk Management
4. The Human Factor
   1. Vision Keeping
   2. Stakeholder Management
   3. Conflict Management
5. Organizing Small and Medium Projects
   1. Rational Unified Process (RUP)
   2. Agile Software Processes
   3. Scrum
   4. Plan-driven Project Management in Small Projects
6. Organizing Large Projects
   1. PMBOK Guide
   2. Prince2
   3. Multi Project Management
   4. Agile Software Processes in Large Projects
   5. Selection of the Appropriate Project Management Method

The focus of this course is to apply the project management knowledge gained previously in a practical portfolio project and reflect on the results. Students engage in this portfolio project and document the results, reflecting on the project management concepts they apply and the influence of these concepts on the success of the project.

• In this course, students perform and document a portfolio project in which they apply the project management topics covered in previous modules.

In the current decade, impressive advances have been achieved in the field of artificial intelligence. Several cognitive tasks like object recognition in images and video, natural language processing, game strategy, and autonomous driving and robotics are now being performed by machines at unprecedented levels of ability. This course will examine some of societal, economic, and political implications of these developments.

• The seminar covers current topics concerning the societal impact of artificial intelligence. Each participant must create a seminar paper on a topic assigned to him/her. A current list of topics is given in the Learning Management System.