Management of technologies, innovation and sustainability

COMPANY AND PROJECT: Industrial organization and Project Management – Project manager and project team – Planning in Project Management: project plan and decision process – Available information and its use in the decision process – Start up, planning and management of the project activities – Targets: cost, time and results [6 hours]. DECISION MAKERS AND PROCESS: Company, project team and stakeholders – Collaboration and negotiation – Critical discussion of problems and complex situations, system analysis, organization and planning of the project – Presentation of goals and results [6 hours]. METHODS AND TECHNIQUES: Formal models for decision aid – Mathematical Programming – Graphs and networks – Strategic decision problems – Problems on networks [18 hours]. PROBLEMS AND MODELS: Classes of models for real-life applications – Production Models and optimal allocation of resources – Portfolio selection models, capital budgeting, asset management and project financing models – Scheduling and planning of the project’s activities [18 hours]. APPLICATIONS ,CASE STUDIES AND SOFTWARE: EXCEL, as a tool for processing data, for calculus and spreadsheet development; Solver tool of Excel for Mathematical Programming – AMPL, optimization software for Mathematical Programs – MATLAB: Basics of calculus with matrices – basic statistics with Matlab – optimization tools [24 hours].

MATHEMATICS AND STATISTICS: Basic algebra – Sets – Equations and inequations – Systems of linear equations – Basic Statistics. COMPANY: Demand, Supply, Market – Business plan – Marketing and Strategic Marketing – Balance sheet – Profit and loss account.

A. Bove, Project management: la metodologia dei 12 step, HOEPLI, 2008 L. Bianco, M. Caramia, Metodi quantitativi per il Project management, HOEPLI, 2006 F. Ricca. Modelli Matematici per il Supporto alle Decisioni: le Basi Formali della Scelta Strategica, Aracne 2008. Teacher's handouts

Theoretical lessons, exercises and applications, software application, work in group, seminars.

Attendance in this course is highly recommended, both for a good and complete comprehension of the theoretical subjects, and for developing practical abilities towards problem formulation and solving through the application of the specific software. Attendance and active participation to lessons, applications, and practical classes in laboratory enhances students’ abilities of critical reasoning and learning. Group work develops critical discussion capacities, brainstorming skills, and inclination to problem solution in a context where many actors with different viewpoints participate to the decision.

FOR STUDENTS ATTENDING THE LESSONS: The final evaluation is based on a series of tests: 1) assignments during the course (individual); 2) final test on the formulation of the decision models and their solution through the use of the specific software. FOR STUDENTS WHO DO NOT FOLLOW THE COURSE'S LESSONS: The final evaluation is an interview on both the theoretical subjects of the course and the aplications. To pass the exam, the student must reach a score equal to 18/30. The student must demonstrate a sufficient knowledge of the theoretical subjects of the course, as well as the acquired ability in the analysis, formulation and resolution of the practical decision problems through the application of the specific software presented in the course.

H. Kerzner, Project management. Pianificazione, scheduling e controllo dei progetti, HOEPLI, 2005

Theoretical lessons, exercises and applications, software application, work in group, seminars.