Course Title

- IT support for project management processes
- Course description
- Chapter 1 - Introduction to project management
  - Objective
  - 1.1 Project management
  - 1.2 Limitations
  - 1.3 Task
  - 1.4 Project planning
  - 1.5 V-model
  - 1.6 Summary
  - 1.7 Questionnaire
  - 1.8 Bibliography
- Chapter 2 - Introduction to PRINCE2
  - Objective
  - 2.1 Introduction
  - 2.2 Principles
  - 2.3 Themes
  - 2.4 Processes
  - 2.5 Tool demo example
  - 2.6 Summary
  - 2.7 Questionnaire
  - 2.8 Bibliography
- Chapter 3 - Introduction to PMBOK
  - Objective
  - 3.1 Description
  - 3.2 PMBOK's methodology
  - 3.3 PMBOK Core Areas
  - 3.4 PMBOK Facilitating Areas
  - 3.5 PMBOK Integration Management
  - 3.6 Summary
  - 3.7 Questionnaire
  - 3.8 Bibliography
- Chapter 4 - Introduction to Agile
  - Objective
  - 4.1 Description
  - 4.2 Sprints
  - 4.3 Roles
  - 4.4 Communication
  - 4.5 Requirements management
  - 4.6 Measurement
  - 4.7 Summary – pros and cons of Agile
  - 4.8 Questionnaire
  - 4.9 Bibliography
- Chapter 5 - Advanced Agile
  - Objective
  - 5.1 Description
  - 5.2 Kanban Development – Just-In-Time logistics
  - 5.3 Extreme Programming – Simplicity with a scent of quality assurance
  - 5.4 Crystal methodology – According to project size & criticality
  - 5.5 Dynamic Systems Development Method – Business value
  - 5.6 Feature-Driven Development – Business model
  - 5.7 Summary
  - 5.8 Questionnaire
  - 5.9 Bibliography
- Chapter 6 - Introduction to Lean
  - Objective
  - 6.1 Introduction
  - 6.2 History
  - 6.3 Lean basic concepts
  - 6.4 Further Principles
  - 6.5 Lean tools
  - 6.6 Basic overview of concepts and tools
  - 6.7 Lean improvement cycle
  - 6.8 Tool demo
  - 6.9 Summary
  - 6.10 Questionnaire
  - 6.11 Bibliography
- Chapter 7 - Advanced Lean
  - Objective
  - 7.1 Introduction
  - 7.2 Lean Principles
  - 7.3 Lean Software Development
  - 7.4 Summary
  - 7.5 Questionnaire
  - 7.6 Bibliography
- Chapter 8 - Discussion
  - Objective
  - 8.1 Introduction
  - 8.2 Modelling a project
  - 8.3 Other methodologies
  - 8.4 Related fields
  - 8.5 Groupwork, homework
  - 8.6 Summary
  - 8.7 Questionnaire
  - 8.8 Bibliography
- Chapter 9 - Comparison
  - Objective
  - 9.1 Introduction
  - 9.2 Principles – processes – tools
  - 9.3 Modelling the project
  - 9.4 Classifications of project management methodologies
  - 9.5 Proposed method
  - 9.6 Groupwork, homework
  - 9.7 Summary
  - 9.8 Questionnaire
  - 9.9 Bibliography
- Chapter 10 - Project management tools basics
  - Objective
  - 10.1 Description
  - 10.2 Desktop tools
  - 10.3 Cloud based tools
  - 10.4 Summary
  - 10.5 Questionnaire
  - 10.6 Bibliography
- Chapter 11 - Project management tools advanced
  - Objective
  - 11.1 Description
  - 11.2 Demonstration
  - 11.3 A walkthrough on Redmine
  - 11.4 Redmine deficiencies
  - 11.5 Summary
  - 11.6 Questionnaire
  - 11.7 Bibliography
- Chapter 12 - Summary, conclusion
  - Objective
  - 12.1 Project management methodologies and software solutions
    - 12.1.1 PRINCE2
    - 12.1.2 PMBOK
    - 12.1.3 AGILE
    - 12.1.4 Lean
    - 12.1.5 Discussion and comparison of the methods
    - 12.1.6 Various project management tools
    - 12.1.7 Redmine
  - 12.2 Groupwork, homework
  - 12.3 Questionnaire
  - 12.4 Bibliography

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# 1.4 Project planning

Methodologies apply common techniques and tools in this phase, e.g. dividing the project into small and manageable parts, i.e. increments. One good example for this is the Work Breakdown Structure (WBS):

- decomposition driven by the unique result (i.e. scope, expected outcome)
- deliverable oriented hierarchy (report, document, working software, hardware, equipment, i.e. tangible result)
- usually it has 3 levels, with an intuitive coding scheme (e.g. 1.1.2)
- leaf nodes of the hierarchy are the work packages (important parts of the unique result, scope)
- WBS is not and does not deal with: low level tasks, planning, schedule
- BSc degree example: the WBS is (strictly) defined by the syllabus for the degree
  - first level: the degree itself
  - second level: semesters (i.e. 6 semester in Hungary)
  - third level: courses in semesters
- Data analysis application (1st level)
  - Modeling subsystem (2nd level): how to model data to be analysed
    - General data modelling (3rd level)
    - Domain specific data modelin (3rd level)
  - Computing subsystem: data analysis performed in this subsystemVisualization subsystemetc…
    - Correlation module
    - Statistical module

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