The course aims at rendering students familiar to the project management and programming by using modern methods and techniques. At the completion of the course we expect that students:

• will be comfortable with algorithms and mathematical models as well as generic and specialized software so that to make thoughtful and sound decisions
• recall critical characteristics of projects, their relationship to generic economic and business targets and the principles of project life cycle analysis
• will have acquired operational knowledge of financial mathematics and investment appraisal basic concepts
• can support decision making under uncertainty
• they can efficiently manage methodologies for project management determining critical path, task sequences and realistic timetable  
• analyse and assess basic cost items and their impact to the project timetable

• Work autonomously
• Decision making
• Design and project management

1. Introduction : project characteristics, responsibilities of project managers, activities and life cycle of projects, conditions of success 
2. Activity based approach : management, objective, time, cost, quality, human resources, risk, inputs, innovation
3. Organizational model, work breakdown structure
4. Project appraisal : financial transactions, investment appraisal, sensitivity analysis, break even, expected value, utility theory
5. Mathematical programming for project management: network and transport problems.
6. Project scheduling : GANTT graph, Critical Path Method, Crashing, Program Evaluation and Review Technique (PERT)
7.  Life-cycle costing and budgeting : Costing, management techniques, cash flow
8. Evaluation and project selection : cost-benefit and cost-effectiveness analysis
9. Decision making under uncertainty
10. Decision trees
11. Software hands-on: examples: new product development
12. Software hands-on: examples: construction projects
13. Software hands-on: examples: R&D innovative projects

Assessment Method

Ι. Written final examination (70%).
- Questions of theoretical knowledge.
- Theoretical problems to be resolved.
- Comparative assessment of theoretical issues

II. Autonomous assignments (30%).

• Shtub, J.F. Bard, S. Globerson, Διαχείριση έργων, Διεργασίες, Μεθοδολογία και Τεχνικο-οικονομική, Επίκεντρο, 2009
• R. Burke, Διαχείριση έργου - Αρχές και Τεχνικές, ΚΡΙΤΙΚΗ, 2014