CODE 80675 ACADEMIC YEAR 2018/2019 CREDITS 6 cfu anno 3 ECONOMIA E COMMERCIO 8699 (L-33) - GENOVA 6 cfu anno 3 STATISTICA MATEM. E TRATTAM. INFORMATICO DEI DATI 8766 (L-35) - GENOVA 6 cfu anno ECONOMIA E COMMERCIO 8699 (L-33) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR MAT/09 LANGUAGE Italian TEACHING LOCATION GENOVA SEMESTER 1° Semester PREREQUISITES Propedeuticità in ingresso Per sostenere l'esame di questo insegnamento è necessario aver sostenuto i seguenti esami: Economics 8699 (coorte 2016/2017) CALCULUS FOR UNDERGRADUATED STUDENTS. 41138 2016 TEACHING MATERIALS AULAWEB OVERVIEW The course introduces students to optimization models and decision support methods used for the solution of decision problems arising in economics. Some of the problems have been already studied from a teorethical view point in the 1° and 2° year thus the attention will be focused on the solutions search. AIMS AND CONTENT LEARNING OUTCOMES The course aims to provide students with adequate knowledge of the main quantitative methods to support to decision-making in the field of economics and to be able to use, with some mastery, the reference software environments. From a methodological point of view, specific situations of competitive, co-operative, gaming-related interaction situations, and convex programming algorithms will be illustrated to optimize certain objective functions such as maximizing profit and utility and minimizing the costs. AIMS AND LEARNING OUTCOMES Objective of the course is the presentation of both methodological aspects and applications in order to provide students with knowledge of the resolution methods and specific software to solve them. At the end of the course students should have acquired skills that will enable them to address the real problems, developing original resolution methods and using the required software environments to solve them. Expected learning outcomes Knowledge and understanding Students must acquire adequate knowledge and effective understanding and use of methodological tools to formalize individual decisions in the economic and social sphere. Ability to Apply Knowledge and Understanding Students must be able to apply acquired knowledge and understand and solve problems and related patterns of social and economic interaction in situations of application interest. Autonomy of judgment Students must be able to use both conceptual and operational knowledge acquired through autonomous assessment skills and skills in different application contexts. Communication Skills Students must acquire the technical language of the discipline to communicate clearly and without ambiguity with specialists and non-specialists. Learning Skills Students must develop adequate learning skills that will allow them to continue to deepen the core issues of discipline autonomously, especially in the contexts in which they will be operating. TEACHING METHODS Lectures, analysis of case studies, computer lab exercises and lessons using ad hoc software tools. SYLLABUS/CONTENT For each part of the course, the theoretical discussion, intended to provide basic content, will be complemented by the practical/laboratory part in the computer classroom through the use of appropriate software tools. Part I: - Introduction to decision-making and problem solving: from real problems to mathematical models. - Classification of decision models. - Functional study in multiple variables: maximum and minimum unbounded. - Constrained optimization, Lagrangian functions, and economical interpretation of Lagrange multipliers. Part II: - Introduction to non-linear, convex, linear, and mathematical mathematical programming models. - Consumer choice models and maximization of utility. - Business choice models: minimizing costs and maximizing profit. - Demand and Supply Models. - Models for selecting investment under risk. Part III: - Decision trees and decisions theory in uncertainty and risk. - Optimizing the expected economic value of the decisions. - Utility theory. - Introduction to Game Theory. - Studying and modeling situations of interaction between subjects, competitive and cooperative, pure and mixed strategies. Game theory and optimization. RECOMMENDED READING/BIBLIOGRAPHY The text books and other additional handouts for foreign students will be communicated at the beginning of the course and published on Aulaweb TEACHERS AND EXAM BOARD ELENA TANFANI Ricevimento: Wednesday h.13.30-14.30 Exam Board ELENA TANFANI (President) DANIELA AMBROSINO ANNA FRANCA SCIOMACHEN LESSONS LESSONS START Sem: I 17 sept 2018 - 14 dec 2018 Class schedule DECISION MAKING METHODS FOR ECONOMICS EXAMS EXAM DESCRIPTION Written test in English and a practical test in the computer room or the execution of a project work (individual or by groups). Repetition of exam: If the student does not pass the exam or returns less than his / her expectations, he / she may repeat the exam at most two times for each session. ASSESSMENT METHODS Method of assessment The written test is intended to assess the level of knowledge and learning of the topics discussed in the lesson. Critical content processing and applying acquired knowledge are evaluated through practical testing or project work Exam schedule Data appello Orario Luogo Degree type Note 10/01/2019 12:00 GENOVA Scritto 24/01/2019 12:00 GENOVA Scritto 08/02/2019 12:00 GENOVA Scritto 04/06/2019 12:00 GENOVA Scritto 25/06/2019 12:00 GENOVA Scritto 09/07/2019 12:00 GENOVA Scritto 03/09/2019 12:00 GENOVA Scritto FURTHER INFORMATION Attendance Not compulsory Recommended Prerequisites: General Mathematics
