Lecturer: Manfred Grafinger
Syllabus outline:
Independent development of a project work related to the virtual development of a product.
Objectives and competences:
The goal of the integration project is the acquisition of skills in the application of special IT-based methods during the product development process.
Intended learning outcomes:
Knowledge and understanding:
The students are in a position to decisively shape product development activities and understand the functioning of corresponding IT systems. Using appropriate IT tools, the students acquire the practical skills to operate the corresponding IT systems and the ability to adapt the systems to company-specific circumstances.
Lecturer: Burkhard Kittl, Bleicher Friedrich, Mertz, R.
Syllabus outline:
• Introduction to machine tools (operating area, component tool and workpiece handling)
• Requirements on machine tools (quality, efficiency, flexibility, integration, costs)
• Machine tool concepts
• Automated machine tools
• Manufacturing Systems (machining center, manufacturing cell, manufacturing system, transfer line)
• Integration of machine tools
• Manufacturing Execution Systems
Objectives and competences:
In this course, an introduction to the manufacturing process is given. This includes the coordination of human, machine, material, and information with the goal to optimize the finishing accuracy, the production time, the production costs, the flexibility, the overall organization, the technology, and the ergonomic aspects.
Intended learning outcomes:
Knowledge and understanding:
The aim of the course is to provide the students with a comprehensive overview over the machine tools, the requirements on machine tools, the machine tool concepts according to technology, and the variety of automated machine tools. The students become aware of modern manufacturing systems and the integration of machine tools in manufacturing execution systems.
Lecturer: Redlein, A.
Syllabus outline:
• Introduction to Industrial Information Systems
• Definitions Business processes oriented aspects
• Technical foundations (database technology, web technologies, architectures etc..)
• Basic concepts for operational information management
• Operational standard software systems (ERP systems, PLM/PDM systems, Groupware, CSCW etc.)
• Enterprise Application integration
• Enterprise-wide information systems
Objectives and competences:
In this course, a comprehensive introduction to the main IT systems of an enterprise from the technical perspective is given. This includes an overview of operational information systems and over the methods and tools utilized to build such IT systems.
Intended learning outcomes:
Knowledge and understanding:
The aim of the course is to provide the students with a comprehensive overview of operational information systems. The students are aware of the tasks and functions, such those systems fulfil. Further, the students become acquainted with the methods for project and change management in the context of introductory projects.
Lecturer: Walter Schwaiger
Syllabus outline:
In this lecture the focus lies on the design of Management Control Systems (MCS) and Decision Support Systems (DSS) surrounded by an uncertain business environment predominantly by 1) considering Double Closed-Loop Management Control Systems (e.g. Balanced Scorecard), 2) using predictive analytics methods in the corporate planning, forecasting and budgeting domain (e.g. ROC-based forecasting) and in the risk management (e.g. scorecard modeling in predictive maintenance domain), and 3) applying optimization procedure in the decision supporting systems e.g. Minimum Exceedance Probability (MEP) approach in the investment decision domain and the stochastic dynamic control theory in the Sales & Operations Planning (S&OP) domain.
Objectives and competences:
In this course, students develop a deep understanding of the topics described in the syllabus. In addition, students are enabled to use this newly gained knowledge in practice. More detailed information can be found in the sections "syllabus outline" and "intended learning outcomes".
Intended learning outcomes:
After successful completion of the course, students are able to …
· … design double-closed loop management control systems in the PDCA modelling language that is adequate for capturing uncertainty in the business environment
· … discuss advantages and disadvantages of Traditional Budgeting, Beyond Budgeting, Activity-Based Budgeting and Continuous Budgeting within a solid foundation
· … calculate Enterprise Business Cycles and corresponding Growth Cycles with the Rate-Of-Change (ROC)-forecasting approach
· … calculate accurate predictions by using the scorecard modelling approach
· … analyse more difficult systemic relationships with structural equations models
· … determine optimal investment decisions by using the Minimum Exceedance Probability-optimization
… determine optimal Sales & Operations Planning (S&OP) decisions by using the stochastic control theoryLecturer: Sebastian Schlund, Mayrhofer, W.
Syllabus outline:
• Projects & Project Management
• Project Planning (Development of a Project)
• Sequencing & Scheduling
• Capacity and Ressource Planning
• Cost Planning
• Risk Planning
• Project Controlling
• Project Organization
• Basics of Process Management
• Qualitative and Quantitative Analysis of Process Management
• Process Modeling
Objectives and competences:
In this course, students develop a deep understanding of the topics described in the syllabus. In addition, students are enabled to use this newly gained knowledge in practice. More detailed information can be found in the sections "syllabus outline" and "intended learning outcomes".
Intended learning outcomes:
After successful completion of the course, students are able to …
• … understand the differences, need and basics of projects and processes in companies
• … understand and apply the methods of project planning (sequencing, scheduling, capacity and cost planning, risk planning), project controlling, project management and organization
• … perform project planning and management using a software tool (MS-Project)
• … name and explain basic theories, concepts, methodologies and tools for business process management
• … analyse business processes qualitatively and quantitatively
• … model and visualize business processes with a state-of-the-art modelling language and software tool
Lecturer: Michael Filzmoser
Syllabus outline:
• Fundamentals of Innovation
• Innovation systems and processes
• Innovation strategies
• Diffusion and limitations of innovations
• Critical factors for successful innovations and innovation management.
Objectives and competences:
In this course, a comprehensive introduction to innovation processes on the enterprise level, innovation strategies, diffusion of innovation, critical factors for successful innovations and innovation management is given. The course aims to establish a basic understanding of innovation management. Based on lectures of theoretical approaches and case studies, the instruments of innovation management are demonstrated. Further, this knowledge is applied and depend in individual and group exercises.
Intended learning outcomes:
Knowledge and understanding:
After completing this course, the students are understanding the concepts of innovation and can work with innovation systems and processes. Further, the students are aware of innovation strategies, the diffusions and limitations of innovations, and critical factors for successful innovations and innovation management.
Lecturer: Manfred Grafinger
Syllabus outline:
Implementation of a project work in the area of virtual product development. Connection with content from other specialization modules. Coordination of own work.
Objectives and competences:
In this course, students develop a deep understanding of the topics described in the syllabus. In addition, students are enabled to use this newly gained knowledge in practice. More detailed information can be found in the sections "syllabus outline" and "intended learning outcomes".
Intended learning outcomes:
After successful completion of the course, students are able to …
• … students are able to apply product development methods.
• … students can use selected CAx methods.
• … students are able to incorporate product requirements into product development.
• … students are enabled to practically implement the theoretical content of virtual product development.
• … are able to handle interdisciplinary tasks.
• … are the students, depending on the specific task, able to work better in a team and respond to the specifics of a practical solution