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School of Chemical and Environmental Engineering

Now offering two distinct diplomas: Chemical Engineering and Environmental Engineering

Project Management


SchoolEnvironmental Engineering
Course LevelUndergraduate
Course IDENVE 4358Semester7th
Course CategoryRequired
Course ModulesInstruction Hours per WeekECTS

Lectures and Laboratory assignments

T=3, E=0, L=1

Course TypeGeneral background
Instruction/Exam LanguageGreek
The course is offered to Erasmus studentsNo
Course URLhttps//  (in Greek)



Learning Outcomes

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 have acquired theory and will be comfortable with algorithms and mathematical models as well as generic and specialized software so that to make thoughtful and sound decisions and they can efficiently manage a large spectrum of problems related with project management. They will be capable to document, to quantify, and to evaluate alternatives for decision analysis, and also to undertake project and investment appraisal as well as to optimize business operations.  

General Competencies/Skills
  • Decision making
  • Work autonomously
  • Work in an international frame
  • Capacity to criticize and self-knowledge
  • Advance free, creative  and causative thinking


  • Introduction : project characteristics, responsibilities of project managers, activities and life cycle of projects, conditions of success 
  • Project economics – quantitative techniques  for decision making
  • Maths of financial transactions – Time value of money
  • Financial maths – annuities – loans
  • Project appraisal : investment appraisal, sensitivity analysis, break even, expected value, utility theory
  • Life-cycle costing : Cost items and analysis, uncertainty, life-cycle cost model
  • Evaluation and project selection : cost-benefit and cost-effectiveness analysis, decision making under uncertainty – decision trees
  • Probabilities and risk. Subjective probability distributions. Expected value criterion. Bayes theorem and information value
  • Activity based approach : management, objective, time, cost, quality, human resources, risk, inputs, innovation
  • Organizational model, work breakdown structure
  • Mathematical programming for project management: metwork and transport problems.
  • Project scheduling : GANTT graph, Critical Path Method, Crashing
  • Program Evaluation and Review Technique (PERT) – simulation
  • Software hands-on: examples: new product development, construction projects, R&D
  • Resources management : classification, smoothing and resource allocation, priority rules, critical chain
  • Budgeting and project monitoring: Design, management techniques, cash flow, cost monitoring and time scheduling


Lecture MethodDirect (face to face)
Use of Information and Communication TechnologyPower point presentations; E-class support
Instruction OrganisationActivityWorkload per Semester
- Lectures36
- Tutorials30
- Lab assignments24
- Autonomous study35
Course Total125

Assessment Method

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

ΙΙ. Laboratory exercises – mid-term examination (30%).

III. Group and autonomous assignments (%).


- Recommended Book Resources:

- Recommended Article/Paper Resources:

  • T. Klastorin, Project Management: Tools and Trade offs, Pearson Learning Solutions, 2nd Edition, 2011.
  • Rory Burke, FUNDAMENTALS of PROJECT MANAGEMENT - Tools and Techniques, Burke Publishing 2014
  • Schoemaker, P. J.H., “The Expected Utility Model: Its Variants, Purposes, Evidence, and Limitations,” Journal of Economic Literature, June, 1982, 20(2), 529-563.


Course Instructor:Associate Professor S. Rozakis (Faculty- EnvEng)
Lectures:Associate Professor S. Rozakis (Faculty- EnvEng)
Tutorial exercises: 
Laboratory Exercises:Associate Professor S. Rozakis (Faculty- EnvEng)