Corso di Laurea Magistrale in Economia, management e innovazione (LM-77) - Programma degli insegnamenti a.a. 2020-2021 Percorso C Economy ...
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Corso di Laurea Magistrale in Economia, management e innovazione (LM-77) Programma degli insegnamenti a.a. 2020-2021 Percorso C Economy, Technology, Innovation
pag 2
Attività Ambiti
SSD Insegnamento CFU Docente
Formativa Disciplinari
I ANNO
C Economico SECS-P/02 Economics of innovation 9 IMBERT Enrica
FERRARI Annalisa (3
CFU)
IMBRIANI Cesare (3
CFU)
Corporate finance and financial
C Aziendale SECS-P/11 12 LOPES Antonio (3
innovation
CFU)
GIORDANO Luca (3
CFU)
Statistico- Artificial economics: simulation and
C SECS-S/06 6 CASTELLANO Rosella
matematico computational methods
Techonology, innovation and FALCONE
C Economico SECS-P/02 6
sustainability transition PASQUALE
Statistico- SARNACCHIARO
C SECS-S/01 Computational statistics 5
matematico Pasquale
Affine o
A ING-INF/05 Data mining 4 CIMITILE Marta
integrativo
ANSELMI Manuel (6
Affine o Sociology of innovation and CFU)
A SPS/09 12
integrativo international trade LENZI Francesca
Romana (6 CFU)
Totale I anno 54
II ANNO
C Economico SECS-P/01 Innovation in emerging countries 9 RINALDI Azzurra
SEPE Marco (5 CFU)
C Giuridico IUS/05 Corporate and financial law 9 SACCO GINEVRI
Andrea (4 CFU)
C Aziendale SECS-P/08 Management of innovation 12 LO PRESTI Letizia
Altre A scelta dello studente 12
Ulteriori attività Ulteriori conoscenze linguistiche, abilità informatiche
Altre formative (art.10, e telematiche, tirocini formativi, altre conoscenze utili 9
co 5, lettera c) per l’inserimento nel mondo del lavoro
Altre Per la prova finale 15
Totale II anno 66
TOTALE CFU 120
Complementary courses
Suggested for the curriculum C “Economy, Technology, Innovation” (12 CFU)
SECS-P/06 Enviromental, economics and circular bioeconomy (docente: Enrica IMBERT e
Fedra FRANCESCOTTI)
SECS-P/02 Economic, Ecological and Ethical Challenges for Making Transitions to Equitable
and Sustainable Societies (Donald HUISINGH)
Suggested for Master of Science in Economy, Management, Innovation (6 CFU)
SECS-S/04 Demografia in italian language (docente: Aurelio PANE)
M-GGR/02 Geografia Economica in italian language (docente: Annarita COLASANTE)pag 3
Course Economics of Innovation (SECS-P/02 – 9 CFU)
Teacher Enrica Imbert (enrica.imbert@unitelmasapienza.it)
Tutor Stefania Manfrellotti (stefania.manfrellotti@unitelmasapienza.it)
1 – Knowledge and skills to be achieved during the course
This course will focus thoroughly on the central aspects of the economics of innovation for
understanding those factors that influence the innovation patterns and how policies can
contribute to the processes of social and economic change.
Students have the opportunity to acquire:
1. Knowledge and understanding. The students will become familiar with classic as well
as contemporary views on the economics of innovation, with a particular focus on
themes on the frontier of research.
2. applying knowledge and understanding. The course covers the main issues related
to technological change and technical progress: definitions, sources of innovation,
indicators for measuring innovation, methodological issues. Moreover, it addresses
some specific issues closely related to the economics of innovation: entrepreneurship,
innovative start-ups, technology transfer, economic effects of innovations, and
measurements.
3. making judgements. The autonomy of judgment is developed through a critical study
of the scientific literature on the topic. This ability will be particularly refined through
interactive teaching, namely, the course will be organized as a combination of lectures,
reading and writing of exam essay and group discussions.
4. communication skills. The student will be able to explain clearly and comprehensively
the issues addressed using the acquired knowledge in an appropriate manner. In
particular, he/she will be able to deal with everyday working issues with appropriate
terminology that will allow him to show communication and interaction skills, also
useful for working relationships.
5. learning skills. The student will develop a critical ability to understand the main
results produced by modern economic literature addressed to technological
innovations having acquired the necessary tools to interpret policy choices.
2 – Program / Contents
The course aims at: i) providing a solid background in economics of innovation, and ii)
highlighting the main topics in the literature of economics of innovation.
CONTENTS:
Part I: Basics in the Economics of Innovation
Introduction to the course
What is economics of innovation about?
Innovation in the history of economic thought
Part II: Aspects of Innovation
Fundamental concepts in innovations
Process innovation
Product innovation
Innovative pricing
Network effects and standards
Intellectual propertypag 4
Part III: How firms achieve innovations
Invention and creativity
The entrepreneur and innovation
Organization for innovation
Vision and innovations
Clusters and networks
Division of labour
Part IV: The innovation and the consumer
The passive consumer and the active consumer
The diffusion of innovation
Part V: The effect of innovation
Innovation and trade
Innovation and market structure
Innovation and wealth creation
Innovation and competitiveness
Innovation and sustainability
Innovation and employment
Part VI: Innovation and government
Market failure
Innovation and policy
3 – Text books
Textbook: Swann, G. M. P. (2009). The economics of innovation: an introduction. Cheltenham:
Edward Elgar. Price £ 24.87
Scientific literature: Articles, essays and reports concerned with the above topics will be
provided. The readings are not compulsory, but are recommended to improve your
preparation and extend of your knowledge of the topics.
4 – Educational method and tools
The course will require a total of 225 (i.e. 9 * 25) working hours organized in the following way:
● 171 hours for individual study.
● 54 hours of teaching.
The teaching is based upon:
● 23 hours of asynchronous training (i.e. classical web-based teaching)
● 31 hours of synchronous training (i.e. interactive teaching)
Interactive teaching (e-tivity) is all about instructing the students in a way they are actively
involved with their own learning process by means of:
- further explanations addressed by the teacher/tutor to the entire class (or a subgroup),
typically in the form of demonstrations (e.g. how to solve a problem, exercise and
similar) or case studies;
- brief interventions carried out by the students (for example in discussion or
collaboration environments: web forums, blogs, etc.);pag 5
- structured e-tivity (individual or collaborative), typically in the form of reports,
exercises, case studies, problem solving, projects, carried out by students, with relative
feedback;
- typical forms of formative evaluation, with the character of questionnaires or tests in
progress.
For Economics of Innovation course, the e-tivity will be organized as follow:
- a forum “question/answer” on two topics addressed during the course followed by a
discussion Webinar. Students are asked to briefly illustrate (10 lines) the topics
assigned. During the webinars the above topics will be discussed among students,
teacher and tutor.
- essay test. Please contact the teacher for the assignment of an essay question.
The factual participation to these interactive activities will be evaluated and it will integrate
the final mark up to 5 points.
5 – Self-assessment procedures
A self-assessment test is published on the course web page (didactic path) to optimize the
preparation of the exam. This test will allow students to ascertain the degree and the actual
understanding of the acquired knowledge
6 – Evaluation methods (final exam)
The exam evaluation will be carried out by an oral examination. An adequate knowledge of
the topics included in the self-assessment test is a valid basis for evaluating yours preparation.
Participation in the interactive activities (possible reading and writing of essays, group
discussions and webinars) will be taken into consideration during the exam session.
7 – Areas of application of acquired knowledge
The course aims to respond to the emerging training needs in the sectors driven innovation
with particular reference to managerial roles.
8 – Notes
None.pag 6
Title Corporate Finance & Financial Innovation (SECS-P/11 – CFU 12)
Teacher Prof. CESARE IMBRIANI
cesare.imbriani@unitelmasapienza.it
Prof. ANTONIO LOPES
antonio.lopes@unitelmasapienza.it
Prof. LUCA GIORDANO
luca.giordano@unitelmasapienza.it
Prof.ssa ANNALISA FERRARI
annalisa.ferrari@unitelmasapienza.it
Tutor Dott.ssa Stefania Mele
(stefania.mele@unitelmasapienza.it)
1 – Goals, Knowledge and Skills
Goals:
• The course offers an analysis of theoretical and practical aspects of business
management and financial decisions.
• The structure of the course is based on corporate objectives, present value and
financial valuation, capital budgeting and financing decisions, dividend policy and
financial structure, risk and risk management.
Knowledge and skills:
Knowledge and understanding
Students will be able to identify and understand the main framework of business
management and financial decisions.
Applying knowledge and understanding
Students will be able to identify and critically analyse benchmarks for the comparison of
alternative investments/funding.
Making judgements
Students will be able to decline and comment on the main risk management activities of the
company.
Communication skills
Students will be able to formulate and communicate their own specific opinions with
reference to strategic investment decisions according to company characteristics and
strategic objectives.
2 – Programme
Programme:
• Corporate finance and corporate objectives
• Financial analysis
• Risk and earning
• How to calculate Present value and Net present value
• Valuating bonds
• Modern Portfolio Theory and CAPM
• Risk managementpag 7 3 – Book Brealey R., Myers S., Allen F., Sandri S., Corporate Finance, 8° edizione, McGraw Hill, 2020. 4 – Methodology The course is structured in video lessons in which the contents of the course are described and analyzed through the use of the didactic supports composed of descriptive slides containing conceptual maps and key word patterns. The modulation of the course allows the student to face the programme according to a cognitive scheme that is as favourable as possible to his/her specific needs. To support the cognitive path, both webinar and artifact launches (in which we address in a simple and immediate way contingent issues, specific phenomena and testimonies of operators in the sector) are active. Always for this purpose, one-to-one communication channels are active (telephone, skype or in presence by appointment via whatsapp or e-mail) on specific parts of the programme. 5 – Tests Launches of artifacts are active to support students' cognitive path addressing relevant and specific themes of the program. The launch is realized with an email to students containing the information and the documentation (if necessary) to realize the artifact. Artifacts returned on time are commented on during special webinars in order to bring out any critical issues on skills acquisition. Within the dasch board there is a self-evaluation test composed of 40 questions (maximum execution time 40 minutes). Each quiz has 3 answers of which only a correct one. Tips for how to use correctly are provided. 6 – Learning Evaluation The assessment is carried out by oral examination. The first question will be a theme of candidates’ choice and the following three/four questions will be defined by the teacher in order to verify the mastery of the theoretical foundations of the programme, the knowledge of the discipline and the ability to link up the issues under consideration. 7 – Placement The course aims to provide the necessary skills to carry out the financial management activities. The main identifiable professionals with reference to skills are: Financial Managers Specialists in financial activities
pag 8 Insegnamento: Artificial economics: simulation and computational methods SECS-S/06 – 6 CFU (SE Docente: Rosella Castellano (rosella.castellano@unitelmasapienza.it) Tutor: da definire ( @unitelmasapienza.it) 1 – Knowledge and skills to be acquired Knowledge and understanding: to carry out calculations with matrices and vectors; to plot basic mathematical functions, to know how to look for the zeroes of a function; to know how to draw an histogram and to implement Monte Carlo simulations; to represent a network through a matrix, to compute the paths on the network; to compute the most common centrality measures; to create random networks; to identify clusters. Applying knowledge and understanding: to apply random network to economics and social complex problems. Making judgements: to have a comprehensive and critical view of real world networks. Communication skills: to know how to give a proper interpretation of the results and to communicate and represent them to a target audience. Learning skills: the student is supposed to have passed the basic university exam of calculus to participate in a profitable way to the course; at the end of the course the student is supposed to have acquired and to be able to manage the main tools and issues treated in the course. 2 – Contents The goal of this course is to provide the students with a base set of methodological tools useful to face the study of social network. In this respect, we will enters in the details of the complex network analysis, starting from the very beginning and going on step by step toward the most used methods characterizing complex network analysis. In the following, a more detailed list of the topics is provided: 1) Introduction to complex networks: an introduction; historical traits and useful softwares; representation of network and clustering coefficients; the Erdös Bacon number, visit of a network; small world and connected components; minimum spanning tree and some centrality measures; centrality measures and structure of networks (2 CFU) 2) Networks with specific topologies: network topology; Erdös-Rényi and Wattts-Strogatz networks; replicating properties of real world networks, the Barabasi and Albert model; assortativity and beyond; diffusion of networks (2 CFU). 3) Communities and advanced topics: epidemic spreading, immunization and forecast; K-core and k-shells, community detections, advanced topics, case studies (2 CFU); 3 – Reading Material - Teaching notes available on the moodle page 4 – Methods, strategies and didactic tools - Video lessons; - Reading material; - Summary questions and Auto evaluation tests. 5 – Tests to verify the acquired knowledge and/or self-assessment
pag 9 Summary questions and Self Evaluation tests. Development and analysis of a case study. 6 – Final Exam Oral discussion of a case study whose topic must be agreed with the teacher. The case study must be presented in the form of a short dissertation which must be sent to the teacher at least fifteen days before the exam. The final evaluation will result from the grade of the written test, possibly added to the points obtained through the oral presentation and a maximum of two points for participation in webinars and e-tivities. 7 – Methods and contexts of professional application of the acquired knowledge Social networks, innovation network, economics and finance.
pag 10
Course Technology, Innovation and Sustainability Transition (SECS-P/02 –
CFU: 6)
Teacher Enrica Imbert (enrica.imbert@unitelmasapienza.it)
Tutor Stefania Manfrellotti (stefania.manfrellotti@unitelmasapienza.it)
1 – Knowledge and skills to be achieved during the course
The course offer an introduction to the topic of innovation and sustainability transitions.
Students will become familiar with the basics of transitions research, its main theoretical and
methodical frameworks as well as with current debates and knowledge gaps in the field of
sustainability transitions. Specifically, they will have the opportunity to acquire:
1. Knowledge and understanding. The students will become familiar with different
aspects of transitions research and discuss this in relation to their own interests with a
particular focus on themes on the frontier of research.
2. applying knowledge and understanding. The course covers the main issues related
to technological change and technical progress towards sustainability: definitions,
conceptual frameworks, policy pathways and methodological issues. Moreover, it
addresses some specific issues closely related to cutting edge topics: globalization,
circular economy, sharing economy, etc.
3. making judgements. The autonomy of judgment is developed through a critical study
of the scientific literature on the topic. This ability will be particularly refined through
interactive teaching, namely, the course will be organized as a combination of lectures,
reading and writing of exam essay and group discussions.
4. communication skills. The student will be able to explain clearly and comprehensively
the issues addressed using the acquired knowledge in an appropriate manner. In
particular, he/she will be able to deal with everyday working issues with appropriate
terminology that will allow him to show communication and interaction skills, also
useful for working relationships.
5. learning skills. The student will develop a critical ability to understand the main
results produced by modern economic literature addressed to technological
innovations having acquired the necessary tools to interpret policy choices and related
impacts towards sustainability.
2 – Program / Contents
The course aims at: i) providing a solid background in the field of technology and
technological innovation, and ii) highlighting the main forms of transition towards
sustainability in the current economic scenario, in relation to the increasing attention to
environmental issues.
CONTENTS:
Part I: Introduction to Innovation and Sustainability Transitions
Introduction to the course
The role of innovation and technology
Defining sustainability transitions
Part II: Understanding transitions
Current state of the art: existing analytical frameworks
Technological Innovation Systems (TIS)
Transition Management (TM)pag 11
Strategic Niche Management (SNM)
Multi-level Perspective (MLP)
Part III: The role of politics and power
The politics of transitions
The co-evolution of policy change: policy mixes
The policy cycle framework of transitions
Part IV: The geography of transitions
Space and scales
The place specificity of sustainability transitions
Part V: Transitions in practice and future perspectives
Ethics and justice
Transition towards the circular economy
Part VI: Industries in transitions
Focus I: Energy
Focus II: Fashion
Focus III: Food
Focus IV: Tourism
3 – Text books
Textbook: Grin, J., Rotmans, J., & Schot, J. (2010). Transitions to sustainable development: new
directions in the study of long term transformative change. Routledge. Price Hardback £
38.99.
Scientific literature: Articles, essays and reports concerned with the above topics will be
provided. The readings are not compulsory, but are recommended to improve your
preparation and extend of your knowledge of the topics.
4 – Educational method and tools
The course will require a total of 150 (i.e. 6 * 25) working hours organized in the following way:
• 114 hours for individual study.
• 36 hours of teaching.
The teaching is based upon:
• 18 hours of asynchronous training (i.e. classical web-based teaching)
• 18 hours of synchronous training (i.e. interactive teaching)
Interactive teaching (e-tivity) is all about instructing the students in a way they are actively
involved with their own learning process by means of:
- further explanations addressed by the teacher/tutor to the entire class (or a subgroup),
typically in the form of demonstrations (e.g. how to solve a problem, exercise and
similar) or case studies;
- brief interventions carried out by the students (for example in discussion or
collaboration
environments: web forums, blogs, etc.);pag 12
- structured e-tivity (individual or collaborative), typically in the form of reports,
exercises, case studies, problem solving, projects, carried out by students, with relative
feedback;
5 – Self-assessment procedures
A self-assessment test is published on the course web page (didactic path) to optimize the
preparation of the exam. This test will allow students to ascertain the degree and the actual
understanding of the acquired knowledge
6 – Evaluation methods (final exam)
The exam evaluation will be carried out by an oral examination. An adequate knowledge of
the topics included in the self-assessment test is a valid basis for evaluating yours preparation.
Participation in the interactive activities (possible reading and writing of essays, group
discussions and webinars) will be taken into consideration during the exam session.
7 – Areas of application of acquired knowledge
The course aims to respond to the emerging training needs in the sectors driven innovation
with particular reference to managerial roles.
8 – Notes
None.pag 13
Insegnamento Computational Statistics (SECS-S/01 – CFU: 5)
Docente Pasquale Sarnacchiaro
(pasquale.sarnacchiaro@unitelmasapienza.it)
Tutor To be defined
1 – Conoscenze e competenze da acquisire
Statistics is the study of the collection, analysis, interpretation, presentation and organisation
of data. Statistical analysis and data analytics is listed as one of the highly desirable skills
employers are looking for, and with data becoming an ever increasing part of modern life, the
talent to extract information and value from complex data is scarce. The course is designed to
train the next generation of statisticians with a focus on the field of data analytics. Employers
expect skills in both statistics and computing. This course will provide a unique and coherent
blend of modern statistical methods together with the associated computational skills that
are essential for handling large quantities of unstructured data. This programme offers
training in modern statistical methodology, computational statistics and data analysis from a
wide variety of fields.
Statistics is the study of the collection, analysis, interpretation, presentation, and organization
of data. The aim of the course is to produce graduates that:
• are equipped with a range of statistical methods and the associated computational skills for
handling large quantities of unstructured data;
• have developed a critical awareness of the underlying needs of a wide variety of fields
through relevant case studies;
• are able to analyse real-world data and to communicate the output of statistical models in
order to inform decision making processes;
• have the necessary computational skills to build and analyse simple/appropriate solutions
using statistical Big Data technologies.
Learning outcomes
By the end of the course the student gains an appreciation of the types of problems and
questions arising with multivariate data. In particular the student should be able:
- to apply and interpret methods of dimension reduction including principal component
analysis,
- to apply and interpret methods for cluster analysis
- to interpret the output of R procedures for multivariate statistics
Knowledge and understanding:
This course will give the students a working knowledge of statistical approaches for handling
large quantities of structured and unstructured data.
Applying knowledge and understanding:
On successful completion students will be able to:
Use statistical software;
Use Statistical methods
Report statistical results
Making judgements:
identify the best data/text mining techniques for an assigned task, identify the best data
representation form.pag 14 Communication skills: Present data and the results of statistical models in graphs, tables, and orally. Learning skills: Undertake basic statistical consultancy. 2 – Programma / Contenuti The course will cover the modules listed below. Quantitative Data Analysis Research Methods and Case Studies Methods for simple and multiple regression models, model fitting, variable selection, diagnostic tools Principal component analysis Applications of these methods will be illustrated with the statistical packages. 3 – Testi di studio Teaching Materials: Slides, on line lessons, web seminars, chat, forum. 4 – Metodo, strategie e strumenti didattici Educational method: On line lessons, web seminars, forum, Other activities available on Moodle. The interactions and collaborations student/student and student/teacher/tutor are supported through the e-tivity Stat-Lab. Stat-Lab is an educational project that includes the following activities carried out within the Google-Classroom (or Moodle) platform: entrance test on basic knowledge, webinar, summary maps, reception/clarification meetings, formative assessment activities. The procedures for participating in Stat-lab are available on the course page Tools: R 5 – Prove di verifica delle conoscenze acquisite e/o autovalutazione On line test in Moodle environment. 6 – Modalità di valutazione finale dell’apprendimento Questioning. The practical skills are assessed via a written report of a data analysis project. Each student will be given a data set and corresponding scientific questions. Students will have two week to complete the data analysis and produce a written report following the instructions provided at the time of the exam. Collaboration on the data analysis and report writing is not allowed. Any collaboration will be deemed as cheating and result in a failing grade. Students also present their work orally, in fact each student is required to give a 15-minute oral presentation of the work in their dissertation, at a meeting of all Board of Examiners. 7 – Modalità e contesti di applicazione professionale delle conoscenze acquisite Knowledge analysis and representation.
pag 15 8 – Note (eventuali)
pag 16 Course: Data Mining (SSD: ING-INF/05 – CFU: 4) Teacher: martacimitile@unitelmasapienza.it Tutor: franca.davino@unitelmasapienza.it 1. KNOWLEDGE AND SKILLS TO BE ACHIEVED DURING THE COURSE Since data are becoming an ever-increasing part of modern life, data analytics is listed as one of the highly desirable skills employers are looking for while the talent to extract information and value from complex data is scarce. The course is designed to improve the skill of data analytics and provides an overview on modern data mining methods together with the associated computational skills that are essential for handling large quantities of unstructured data. The aim of the course is to produce graduates that: are equipped with the knowledge of the main data mining techniques and the associated computational skills for handling large quantities of unstructured data; have developed a critical awareness of the underlying needs of a wide variety of fields through relevant case studies; are able to analyse real-world data; have the necessary computational skills to build and analyse simple/appropriate solutions using Big Data technologies. By the end of the course the student should be able: to apply and interpret methods of dimension reduction including principal component analysis; to apply and interpret methods for cluster analysis; to use R to perform data analysis tasks. 2. PROGRAM/CONTENTS (COURSE OBJECTIVES AND TOPICS) Data Mining: basic notions Data comprehension and setting Data Mining techniques Text Mining and Analytics Data interpretation and validation Weka Exercises 3. TEXT BOOKS Pang-Ning Tan; Michael Steinbach; Vipin Kumar; Anuj Karpatne, Introduction to Data Mining, Global Edition, Pearson (Intl), ISBN: 9780273769224, 0273769227, 2020 4. EDUCATIONAL METHOD AND TOOLS On line lessons, web seminars, forum, quiz. Tools: Weka, R 5. EVALUATION METHODS (FINAL EXAM) Students answer some questions about the course subjects orally. Eventually, they are also required to discuss their proposed resolution to the e-tivity proposed during the course. 6. SELF-ASSESMENT PROCEDURES On line test in Moodle environment
pag 17 7. AREAS OF APPLICATION OF ACQUIRED KNOWLEDGE The data mining skill are strongly required by all the organizations that are able to capture and have necessity to use a huge amount of data. The data need to be opportunely filtered and analyzed on the base of the organization
pag 18
COURSE: Sociology of innovation and international trade (SPS/09 – CFU: 12)
TEACHER: Manuel Anselmi (manuel.anselmi@unitelmasapienza.it);
Francesca Romana Lenzi (francescaromana.l@unitelmasapienza.it)
TUTOR: Annunziata Alfano (annunziata.alfano@unitelmasapienza.it)
1. KNOWLEDGE AND SKILLS TO BE ACHIEVED DURING THE COURSE
1. Knowledge and understanding:
The course deals with the main themes of the relationship between innovation and
society, providing a basic presentation of the main theories, problems and tools for
understanding, from a sociological perspective, of the phenomena and processes of
economic innovation.
The basic social actors and dynamics of international trade, commercial policy, and factor
movements are examined. Topics may include the relation between social actors in trade
movements and economic growth, international financial institutions, international trade
agreements and protectionism.
2. Knowledge and understanding skills applied:
The student will be able to develop the reflection on innovations, on the social and
institutional processes that determine them, in order to promote the ability to analyse
how different factors such as relations between actors, capitalist systems and business
models can affect development of innovation in companies.
3. Autonomy of judgment:
At the end of the course the student will have the ability to evaluate the different models
of economic innovation in a more interdisciplinary and critical way.
The course aim at developing students’ capability to face the social aspects of the
international
trade, achieving experience and tools for an autonomous social consciousness
4. Communication skills:
Students will acquire the typical technical language of the discipline to communicate
clearly and unambiguously with specialists and non-specialist interlocutors.
The students learn how to explain clearly the main topics of the course and to face
problems
related to the courses using the tools provided.
2. PROGRAM/ CONTENTS
The aim of the course is to provide students with a not strictly economic or technical
vision of innovation, but more focused on social, institutional and cultural factors that
determine innovation processes, or prevent their realization, in different sectors and
economic activities.
In the first part will be presented the main sociological theories that have addressed the
theme of innovation in economics, starting from classic authors such as Smith, Marx,
Durkheim, Weber and Schumpeter up to the most contemporary theories on the models
of capitalism and neo-institutionalism.
The second part will deal with the most specific themes of innovation such as invention,
creativity, national, regional and local innovation systems, high-tech districts, startups,
innovation networks.
1. Introduction to International Trade (due to the class – read Chapter 1)
2. The Society and policies of Protectionism; The Uruguay Round, Outstanding Trade
Problems, and the Doha
Round; Economic Integration: Customs Unions and Free Trade Areas (due to the class –
read Chapter 9.4, 9.7, 10)
3. The International Resource Movements and Multinational Corporations; Motives for andpag 19
Welfare Effects of International Labor Migration (due to the students – read Chapter 12.1,
12.5, 12.6)
4. The International Monetary System: Past, Present, and Future (due to the students –
read Chapter 21)
5. The European Union business environment: promoting business
6. The European Union business environment: regulating business
7. The European Union Business Environment: the Euro
8. Case study – Inditex-Zara – the disposable fashion
9. A business plan – what is it and how to do it
3. TEXT BOOKS
Ramella F. (2016), Sociology of economic innovation, London, Routledge
Dominick Salvatore, International Economics, Wiley, 2010, 11th edition ISBN:
9781118177938.
4. EDUCATIONAL METHOD AND TOOLS
The course is based on video lessons related to the main topics and contents of the
program, accessible through the e-learning platform of the university. These tools
combine the individual study through the exam text reported in the program and the
supplementary ones, suggested at the end of some video lessons, the teacher’s assistance
through chat, forum and e-mail.
Video-Lectures, assignments, webinars.
5. SELF-ASSESMENT PROCEDURES
Questions at the end of each lecture will be provided.
6. EVALUATION METHODS (FINAL EXAM)
The evaluation of learning will be done through a written exam.
A written business plan
A case study presentation.
7. AREAS OF APPLICATION OF ACQUIRED KNOWLEDGE
The course provides the sociological knowledge useful to develop managerial and
entrepreneurial skills in private organizations and public administrations. The contents of
the course can be applied in roles where it is necessary to know markets, different
business models, and types of innovation in various areas of economic production.
All the international trade contexts and European business.pag 20
COURSE: Innovation in Emerging Countries (SECS-P/01 – CFU: 9)
TEACHER: Azzurra Rinaldi (azzurra.rinaldi@unitelmasapienza.it)
TUTOR: Stefania Manfrellotti (stefania.manfrellotti@unitelmasapienza.it)
1. KNOWLEDGE AND SKILLS TO BE ACHIEVED DURING THE COURSE
At the end of the course, the student will be able to understand the innovation process in
emerging countries and to assess its influence on their development. The knowledge of
the development tools will allow the student to understand what development is and
what are the causes of underdevelopment, understanding in which areas innovation can
be used to facilitate this process.
2. PROGRAM/ CONTENTS
1. Defining development
2. Theories of development
3. Development indicators and international rankings 4. Special focus on the
transforming economies
4. Development and innovation
5. Development programs in Asia and Africa
3. TEXT BOOKS
A. Rinaldi, F. Sciarelli, “Development Management of Transforming Economies. Theories,
Approaches and Models for Overall Development, Palgrave McMillan, 2018, 118€.
Chapters: 1, 2, 3, 4, 8, 9, 10, 11, 12.
4. EDUCATIONAL METHOD AND TOOLS
The teaching support tools are represented by:
1. A knowledge assessment test
2. Webinars, held by both the teacher and the tutor 3. Slides
3. Forum
4. The recorded lessons
5. The e-tivities
5. SELF-ASSESMENT PROCEDURES
The knowledge assessment test, that is a multiple choice test, represents a self-
assessment tool that is useful to optimize the progress of understanding.
The final exam is oral.
6. EVALUATION METHODS (FINAL EXAM)
The professional skills acquired during the course can be applied to all jobs that require
interpretative skills in the development process and in the evolution of the markets.
7. AREAS OF APPLICATION OF ACQUIRED KNOWLEDGEpag 21 The student will be able to express personal opinions on the main problems of economic development and on the development process driven by innovation. These skills will allow her to apply for jobs in the areas of both international business and international cooperation. The knowledge of the impact of innovation on development in the emerging countries will allow the student to get closer to the issues which are typical of an advanced courses in Development Economics.
pag 22
COURSE: Corporate and financial law (IUS/05– CFU: 9)
TEACHER: Marco Sepe (marco.sepe@unitelmasapienza.it);
Andrea Sacco Ginevri (andrea.saccoginevri@unitelmasapienza.it)
TUTOR: Michele Sances (michele.sances@unitelmasapienza.it)
1. KNOWLEDGE AND SKILLS TO BE ACHIEVED DURING THE COURSE
The primary objective of the course is to provide students with a basic knowledge of the
main elements of corporate law and securities regulation, in order to introduce the
matter and the major issues involved therein.
The course will cover basic terminology and theoretical structure as well as practical
implications.
In particular, the course has the following specific objectives:
● to give students a knowledge and understanding of the main elements of
corporate law, banking, insurance and securities regulation, also on an
international basis;
● to give students an understanding of the corporate issues concerning Italian listed
companies;
● to increase awareness and understanding of the main items regarding corporate
governance, with specific regard to banks, insurance companies, financial
intermediaries and listed companies;
● to understand the main items regarding governance, policies and transactions of
Italian financial institutions;
● to learn and apply skills learned in the class to the current on-going significant
transactions discussed during the classes.
At the end of the course, students should have a general overview of the most
controversial topics regarding corporate law and banking and finance, also having regard
to scholars and practical cases.
2. PROGRAM/ CONTENTS
The course intent is, more specifically, to describe the evolution process of laws and
regulation in corporate law and banking and finance, highlighting the most controversial
topics and identifying the ratio of the relevant provisions.
Given the continuous evolution – legal, regulatory and on a case law basis – of the sources,
special attention will be paid to the acquisition of specific and useful tools for monitoring
the relevant updates of the legislative and regulatory framework.
The main issues dealt during the course are the following: 1. Preliminary introduction on
the applicable laws and regulations; 2. The Italian regime on the Financial Institutions; 3. A
special focus on the Banks’ regulation; 4. A special focus on the Insurance companies’
regulation; 5. The role of the competent Supervisory Authorities (ECB; Bank of Italy;
Consob; IVASS); 6. Regulated Markets and Trading Venues; 7. Preliminary thoughts on the
Italian Listed companies; 8. Related parties’ transactions in Banks and Listed companies;
9. Initial Public Offers; 10. Public Tender Offers; 11. Corporate disclosure and Market
Protection; 12. Market Abuse Regulation and Insider Trading; 13. Extraordinary
Transactions; 14. Shareholders’ exit rights; 15. Golden powers’ regulation; 16. Corporate
governance rules and best practices; 17. New forms of Market Investments (SPAC; Funds;
Club deals, etc.); 18. Italian Corporate and Securities Law: trends and perspectives.
3. TEXT BOOKS
● F. Capriglione - R. Masera, Bank Corporate Governance: A New Paradigm,
available at www.ssrn.com;
● M. Sepe, Regulated Markets, in Italian Banking and Financial Law: Intermediariespag 23
and Markets, curated by Siclari, Palgrave Macmillan, 2015, p. 117 – 196;
● M. Sepe, A crisis, public policies, banking governance, expectations and rule
reforms: when will the horse go back to drink?, in Law and Economics Yearly
Review, 2014, p. 210 -237.
4. EDUCATIONAL METHOD AND TOOLS
Lectures, e-tivity, webinar, case studies, teaching materials.
5. SELF-ASSESMENT PROCEDURES
Multiple choice or open answer quiz published on the teaching web page.
6. EVALUATION METHODS (FINAL EXAM)
Oral exam.
7. AREAS OF APPLICATION OF ACQUIRED KNOWLEDGE
Students will acquire a general knowledge in corporate and financial matters which is
very
appreciated in professional environments such as law firms, investment banks, listed
companies, financial institutions, supervisory authorities and similar.pag 24 Course Management of Innovation (SECS-P/08 – 12 CFU) Teacher Letizia Lo Presti (letizia.lopresti@unitelmasapienza.it) Tutor Generoso Branca (generoso.branca@unitelmasapienza.it) 1 – Knowledge and skills to be achieved during the course The Course in Management of Innovation aims to train those who intend to undertake management and managerial careers, or aim to work as professionals and consultants, in the planning of process and product innovations in any type of company. During the course, students will have the opportunity to deepen the importance of managing innovation. Students will study how to adopt an innovation and how to manage it within the company, what are the processes of innovation and the forms of protection of intellectual property. Furthermore, the course focuses on the role of research and technology for the success of an innovation. The course illustrates how a new product develops and how to manage its growth process. Finally, the course illustrates business models that can help the company to describe and classify businesses and to explore possibilities for future development, especially in an entrepreneurial setting. The course aims to consolidate the following knowledge and skills: 1. Knowledge and understanding: knowledge about the nature and importance of innovation, as well as the strategies and practices that can be used to improve the benefits an organization can achieve through innovation. This knowledge will help the student to identify how to manage successful innovations and to understand the main problems related to their management. 2. Applying knowledge and understanding: theoretical knowledge and practical skills in decision-making and problem solving with reference to the processes of conception, development and implementation of innovation projects. 3. Making judgements: critical analysis capacity for decision making in relation to the traditional problems of innovation management but also to emerging topics that include open and social innovation and ecosystems. 4. Communication skills: students will acquire the usual technical language and the relational and communication skills necessary for managing relationships with key internal and external stakeholders. 5. Learning skills: students will acquire critical skills and the ability to use business models tools to apply the knowledge acquired during the course. 2 – Program / Contents The course program is divided into the following parts: 1. Innovation management: definitions 2. Models of innovation 3. National systems of innovation 4. Entrepreneurship 5. Diffusion of innovation and market adoption 6. Organization and innovation 7. Operations management and process innovation 8. Managing intellectual property 9. Managing organizational knowledge 10. Strategic alliances 11. Management of R&D
pag 25 12. Managing R&D projects 13. Open innovation and technology transfer 14. Business models 15. Product strategy 16. Brand strategy 17. New product development 18. New service innovation 19. Market research 20. Managing the new product development process 3 – Text books Paul Trott (2017). Innovation Management and New Product Development (6th Edition), Pearson 4 – Educational method and tools The course is based on video-lessons presenting the main topics of the program. There are also webinars with contents that illustrate case studies, and discussion forums that offer students the opportunity to interact with the teacher and with the tutor. 5 – Self-assesment procedures For each video lesson, there will be a self-assessment quiz to help the student to check his/her progress in learning the subject. 6 – Evaluation methods (final exam) During the examination, the assessment will be carried out through a written test consisting in the presentation of a project (task) on a case study that requires the application of knowledge acquired during the course, and an oral exam that includes open questions on the content of the program. 7 – Areas of application of acquired knowledge The knowledge acquired during the Management of Innovation course can be applied in all public/private, profit/non-profit companies. Business models can help students to apply the acquired knowledge and to develop managerial and entrepreneurial skills.
pag 26
Course Environmental economics and the circular bioeconomy
(SECS/P06 - CFU 12)
Teacher Enrica Imbert (enrica.imbert@unitelmasapienza.it)
Fedra Francocci (fedra.francocci@ibaf.cnr.it)
Tutor Stefania Manfrellotti
(stefania.manfrellotti@unitelmasapienza.it)
1 – Knowledge and skills to be achieved during the course
Students of this course will be introduced to the main global environmental issues, that will
be analyzed through economic theory. By the end of this course students will be expected to
have gained basic knowledge of environmental economics and, thanks to the analysis of
ongoing theoretical development in this field, will be able to better understand complex
environmental issues and new economic strategies that can help us overcome such
challenges. The course also introduces concepts and issues related to the circular economy
and the bioeconomy, nowadays fundamental to a course in environmental economics. This
will provide the methodological and conceptual framework for further investigations related
to economic-environmental issues.
2 – Program / Contents
The course provides an economic analysis of environmental problems related to the use of
raw materials and energy and to polluting emissions and waste, with the ultimate aim of
highlighting the main processes associated with sustainable development and activities
leading to global economic recovery. The sustainable management of natural resources,
ecosystems and biodiversity associated with the circular economy model will be widely
covered within the course. Indeed, the circular economy is recognized as one of the most
promising drivers influencing the new strategies for economic growth and the new Circular
Economy Package adopted recently by the European Commission, aims to generate
economic opportunities (cost reduction, innovation) and environmental benefits at the same
time. In particular, the development of a bioeconomy, that is an economy in which the
production processes utilize renewable biological resources from land and sea to produce
food, materials and energy through frequently innovative and increasingly efficient
technologies, represents a relevant theme for investigation. Accordingly, current studies on
the circular economy will be
presented with particular attention being paid to the potential benefits offered by a circular
bioeconomy.
Overall, the course will focus on the following topics:
externalities and environmental problems; economic incentive instruments; the transition
from depletable to renewable resources; new bio-based value chains; exploitation and
replicability of business models.
3 – Text books
Turner, R. K., Pearce, D., & Bateman, I. (1994). Environmental economics: an elementary
introduction. Harvester Wheatsheaf (EUR 24,10)
Lewandowski, I. (Ed.). (2017). Bioeconomy: Shaping the transition to a sustainable, biobased
economy. Springer.
Articles, essays and reports concerned with the above topics will be provided.pag 27 4 – Educational method and tools The course is made up of two main parts. The first provides a general overview of environmental economics by illustrating key concepts of the environment-economy framework. The second deals with the most relevant opportunities for economic growth and will explore in particular the role of bioeconomy in the new circular economy scenario. The course is organized as a combination of lectures, reading and writing of exam essays and group discussions. The course material will be provided in English, and you will be required to submit the assigned works and the final examination in English. 5 – Self-assesment procedures Students will be provided with a test quiz to test their knowledge before the exam. 6 – Evaluation methods (final exam) The exam evaluation will be carried out by means of an oral examination. An adequate knowledge of the topics included in the self-assessment test is a valid basis for evaluating your preparation. Participation in the interactive activities (possible reading and writing of essays, group discussions and webinars) will be taken into consideration during the exam session. 7 – Areas of application of acquired knowledge By the end of this course students will be expected to have gained the following skills: • conduct research on specific topics covered on the course by literature reviews; • identifying, collecting, analyzing, and using environmental and economic information;analyze environment and economic trends and cycles; • hypothesize how the environmental event or trend may cause an economic outcome and what impact there will be; • provide reports to external stakeholders (both at industry and policy level). 8 – Notes Text here
pag 28
Course Economic, ecological and ethical challenges for making
transitions to equitable and sustainable societies (SECS/P02 -
CFU 12)
Teacher Donald Huisingh (donald.huisingh@unitelmasapienza.it)
Tutor Stefania Manfrellotti
(stefania.manfrellotti@unitelmasapienza.it)
1 – Knowledge and skills to be achieved during the course
Learning outcomes: developing and applying the ability to think, plan, and work in systems, at
all levels, from individual to global, and from short-term to long-term time horizons, to
promote and to live life-styles, which empower themselves and others to envision, implement
and support transitions to sustainable societies. Expanding the student’s interest in and
dedication to continue on the learning, working, and living-journey to help societies to slow-
down and reverse climate changes. Broadening and deepening the student’s understanding
the social, ethical, ecological and economic dimensions of acting and of not-acting to make
the needed changes.
2 – Program / Contents
a. Introduction to Donella Meadow’s “Thinking in Systems,” book and to Paul
Hawken’s,
“Drawdown: The Most Comprehensive Plan Ever Proposed to Reverse Global
Warming,”book. (Students are requested to obtain and to read these two books, both
of which are available in paperback versions).
b. Building upon the contents of those books, the lectures are focused upon the
impact’s humans are having at the individual level, and at local, regional, national and
global levels. The impacts are reviewed in relation to human population growth that is
contributing to rapid species diversity losses, increased air, water and soil pollution, and
resultant climate changes, due to multiple causes such as are deforestation, increasing
releases of carbon dioxide from combustion of fossil-carbon energy systems and to the
resultant atmospheric changes, which are causing increasing global temperatures and
global climate changes.
c. Some lectures focus upon innovative changes that are being made at the
individual, household levels, as well as at community levels, within educational, political
and corporate systems. Positive examples are presented to challenge the students to
become engaged and empowered in becoming ‘Change Agents’ to help support and
catalyse transitions to “Equitable, Sustainable, Livable, Post-Fossil Carbon Societies.”
d. The students are challenged to build upon the course content and upon their
selection of relevant materials to help them develop an integrated plan for their own
careers. The quality of their course “paper” will be a key element of the evaluation of the
student’s learning, and commitment to ‘Be the Change That They Wish to See and Be
in Present and Future Societies.
3 – Text books
Thinking in Systems,” by Donella H. Meadows, published by Chelsea Green Publishing Co, in
White River Junction,Vermont, U.S.A., in 2008, ISBN # of: 978-1-60358-055-7. ($ 7.18 ppb, or e-
book $4.00);pag 29
“Drawdown: The Most Comprehensive Plan Ever Proposed To Reverse Global Warming,”
(ISBN 9780143130444 (ppk) $15.00, ISBN 9781524704650 (ebook) ($12.00) published in 2017 by
Penguin Books, New York, New York, U.S.A.).
4 – Educational method and tools
The course is organized as a combination of lectures, readings and writing of exam essays.
The course material will be provided in English, and you will be required to submit the
assigned works and the final examination in English.
5 – Self-assesment procedures
The exam evaluation will be carried out by means of an oral examination. An adequate
knowledge of the topics included in the self-assessment test is a valid basis for evaluating
your preparation. Participation in the interactive activities (possible reading and writing of
essays, group discussions and webinars) will be taken into consideration during the exam
session.
6 – Evaluation methods (final exam)
Students will be provided with forum to test their knowledge before the exam.
7 – Areas of application of acquired knowledge
By the end of this course students will be expected to have gained the following skills:
• Conduct research on specific topics covered on the course by literature reviews
• Identifying, collecting, analyzing, and using environmental and economic information;
• Analyze environment and economic trends and cycles;
• Hypothesize how the environmental event or trend may cause an economic outcome
and what impact there will be;
• Provide reports to external stakeholders (both at industry and policy level).pag 30 Insegnamento Demografia (SECS-S/04 – CFU:6) Docente Aurelio Pane (aurelio.pane@unitelmasapienza.it) Tutor Carlo Cavicchia (carlo.cavicchia@unitelmasapienza.it) 1 – Conoscenze e competenze da acquisire Il corso si propone di collocare sul piano metodologico ed interpretativo i molteplici aspetti del sistema sociale al fine di costituire un sincronismo con il sistema pubblico e privato delle attività produttive. Il tutto in una prospettiva di tipo interdisciplinare richiesta dalla complessità delle interrelazioni tra fattori demografici, sociali, economici e territoriali che definiscono il nuovo modello della domanda e dell'offerta del sistema globalizzato. Le competenze da conseguire sono la validità operativa sia nel pubblico che nel privato nelle sue varie manifestazioni individuali e di gruppo. 2 – Programma / Contenuti Cap. 1. Fenomeni sociali e demografia, un legame stretto: A) Individui e popolazione; B). Processi di coesione, selezione, interazione. Cap. 2. Fattori strutturali della popolazione: A) Età e indici di struttura; B) Sesso e asimmetria di genere. Cap. 3. Strumenti per l’analisi dei fenomeni demografici: A) Tassi generici e tassi specifici, probabilità, diagramma di Lexis; B) Coorti e generazioni. Analisi per generazioni e analisi per contemporanei; C) Modello della transizione demografica; D) La tavola di mortalità: concetti e funzioni biometriche. 1) Concetti, 2) La probabilità di morte, 3) Gli altri elementi di una tavola di mortalità, 4) Relazione tra quoziente e probabilità di morte, 5) Confronto tra tavola di mortalità ridotta e tavola di mortalità completa; E) Studi empirici. Cap. 4. Il lavoro: A) Censimento della popolazione; B) Classificazione delle professioni; C) Indagine campionaria ISTAT sulle Forze lavoro; D) Indicatori statistici; E) Glossario ISTAT; F) Il sistema di controllo; G) Studi empirici. Cap. 5. Povertà ed esclusione sociale: A) Le dimensioni della povertà; B) Metodologia e indici unidimensionali e multidimensionali della povertà; C) Studi empirici. Cap. 6. Bilancio demografico e previsioni: A) Bilancio demografico; B) Previsioni demografiche; C) Glossario. Cap. 7. I fattori dell’invecchiamento e le sue conseguenze economico-sociali: A) L’invecchiamento della popolazione; B) I fattori dell’invecchiamento; C) Allungamento della vita ed asimmetria di genere; D) Le conseguenze dell’invecchiamento. Gli argomenti di cui sopra sono stati interamente trattati nel corso di Demografia con video- lezioni acquisibili sulla piattaforma e-learning dell’università.
You can also read
