Project Planning and Management

Electronics and Computer Engineering
5 ECTS; 1º Ano, 2º Semestre, 28,0 T + 28,0 PL + 5,0 OT

- Pedro Manuel Granchinho de Matos

Not applicable.

The objective of the course is to formalize Linear Programming problems, to introduce classical optimization problems and some resolution strategies. Develop capacities to apply the systemic approach to complex problems, formulate them, recognize the appropriate methodologies for their resolution and implement them. This introductory UC familiarizes students with concepts, models, and techniques that allow for efficient resource management, profit maximization, and / or cost minimization.

1. Linear Programming
1.1 Optimization concept;
1.2 Motivation examples in business context;
1.3 Optimization without restrictions and with restrictions;
1.4 Decision variables;
1.5 Formulation of the problem;
1.6 Graphical Resolution of Linear Programming Problems;
1.7 Simplex Algorithm;
1.8 Duality and sensitivity analysis;

2. Evaluation of Investment Projects
2.1 Fundamental concepts;
2.2 Basic studies for the preparation of an investment project;
2.3 The extra aspects - financial projects;
2.4 Plans of investment, operation and financing;
2.5 Analysis of cash flows of the projects;
2.6 The cost of capital;
2.7 Profitability measures;
2.8 Decision to invest towards risk;

3. Project Management
3.1 The importance of project Management;
3.2 The planning and project scheduling;
3.3 Gantt Chart;
3.4 Network PERT / CPM;
3.5 Deterministic and probabilistic analysis of critical path;
3.6 Computerized Project Management;

Evaluation Methodology
Written test in any of the assessment seasons and a project. Both worth 50% of the final mark.

- Winston, W. (1993). Operations Research. USA: Duxbury Press
- Jacobs, R. e Aquilano, N. e Chase, R. (2001). Operations Management for Competitive Advantage. (Vol. 1). USA: McGraw-Hill
- Cebola, A. (2005). Elaboração e análise de projectos de investimento. (Vol. 1). Portugal: Edições Silabo

Method of interaction
Lectures and case study analysis.

Software used in class
Microsoft Excel