# Statistics – 9 cfu

## Statistics

Prof. ssa SCARINZI
scarinzi@econ.unito.it

This first course in Statistics for undergraduate Students (63 hours, 8 credits) aims to offer an introduction to Statistics and both statistical terminology and methodology providing the Students the main basic tools for analysing and interpreting statistical data, so that they can be able to summarize data, interpret reports and newspaper accounts that use statistics and probability, and review plans for surveys and experiments.

Programme

• Descriptive statistics: sources and methods of data collection. The statistical population and the statistical units. Data types, statistical variates and statistical variables. Collecting data and the “matrix” of individual data. Presenting individual data by means of frequencies tables and charts. The frequencies cumulative function of a statistical variable. Measures of position (i.e. the quantiles and the means). Measures of dispersion (i.e. the range, the inter- quartile range and the variance,). Linear transformation of a statistical variable. The Tchebychev’s inequality. Bivariate statistical variates and bivariate statistical variables. Definitions, conjoint frequencies distribution, marginal distributions and conditional distributions. Mean and variance of a conditional variable. The covariance and the linear correlation coefficient. The analysis of depencence. Statistical dependence (and its measures). Dependence in mean (and its measures). The linear regression model and the method of the Least Squares. Measures of goodness of fit of a regression model. Some non linear models useful in economics.
• Elements of probability: random experiments and their nature. The set of all the possible outcomes of a random experiment, the Algebra of events. The axiomatic definition of probability. Conditional probability. Independent and dependent events. Bayes’ rule. Repeated trials of a random experiment. Random variables, definitions and classifications. Expected values of a random variable, the moments and the moments generating function of a random variable. Functions of a random variable. Some outstanding random variables (Bernoulli, discrete Uniform, Binomial, Geometric, continuous Uniform, Gaussian, Exponential, ?). Random samples. Sampling from Gaussian densities, main sample statistics and their distribution, parametric point estimates.

All the basic information about the course will be available on klips from January the 1st. More details will be uploaded (daily or weekly) to klips during the course.

Texts (Revised new versions available from end November 2009)

E. D. ISAIA, Exercises on Descriptive Statistics, published on klips, 2009
E. D. ISAIA, Exercises on Elemetary Probability, published on klips, 2009

# Public Law – 6 cfu

## Public Law

Prof.ssa NINATTI
ninatti@econ.unito.it

The course promotes better understanding of Italian public institutions and of the Constitutional framework in which they function.
It examines the structure of our government and focuses on the distribution of power among the public institutions, and the division of power between the central state and the regions.
The course will carefully consider the fundamental rights protected by the Italian constitution and compares them with selected provisions of the United States Constitution, Germany’s Basic Law, and the European Convention on Human Rights, through the medium of judicial decisions.
Moreover, special attention will be given to the problem of European integration, providing an introduction to the so called “constitution” of the EU and analysing the validity and effects of EU law in the Italian legal system.

Teaching support
G.F. Ferrari (Ed.), Introduction to Public Law, Milano, Giuffrè, 2008

# Principles of Marketing – 9 cfu

## Principles of Marketing

Prof. Fabrizio MOSCA

mosca@econ.unito.it
Prof.ssa  CASALEGNO

casalegno@econ.unito.it

Part one
Principles of Marketing
- What is marketing: needs, wants and demand.
- The marketing environment: company’s microenving and the other company’s functions.
- Marketing challenges.

Strategic marketing planning
- The planning process.
- Marketing within strategic planning: corporate, business unit, business functions.
- SWOT analysis.
- Portfolio analysis – two models: Boston Consulting Group e General Electric.

Marketing strategies
- From corporate to marketing strategy.
- Market-challenger strategies.
- Market-follower strategies.
- Market-nicher strategies.

Relationship with the market
- Consumer buyer behaviour.
- Market information and marketing research.

Core strategy
- Market segmentation.
- Market targeting.
- Positioning.
- Creating competitive advantage.

Part two:
The marketing mix
- Product decisions: brands, products, packaging and support services.
- New product development and product life-cycle strategies.
- Pricing considerations and approaches.
- Pricing strategies.
- Managing marketing channels: the nature of distribution channels, channel management
decisions.
- Promotion: integrated marketing communication strategy, mass communications, personal
selling and sales management.
- Direct and online marketing: the new marketing model.

Part three:
Cases
All the marketing principles presented in part one and part two will be discussed in the class using the case method. The students will be able to discuss and present successful case studies during the lessons. Selection of Case studies: NIKE – BOO.COM – KITKAT – EURO TABACCO – NESTLE’ – ALBUMART.COM – UNILEVER – PROCTER & GAMBLE – COFEE MATE –
WALLY YACHT – SONY/MICROSOFT (PS2 vs XBOX) – COLGATE – EASYJET – FIAT DOBLO – WALMART – PRINGLES – DELL COMPUTERS – DO.CO.MO. – SOUTHWEST AIRLINES.

Text:
P.KOTLER, G. ARMSTRONG, J.SAUNDERS,V.WONG, Principles of Marketing, Prentice Hall, Third Europena Edition, 2002.
P. KOTLER, Marketing Management, Prentice Hall; 8th edition (January 1994).
2nd edition (May 19, 2003).
G. PELLICELLI, Il Marketing, UTET, Torino, 1999, seconda edizione.
AA.VV., Casi di Marketing, G.Giappichelli Ed., Torino, 2002.

January 24th – 28th: Prof Yuping Li from RMIT University – Australia

# Microeconomics – 9 cfu

## Microeconomics

Prof. VANNONI
vannoni@econ.unito.it

The Basics of Supply and Demand.

Consumer Behaviour.

Individual and Market Demand.

Production.

The Cost of Production.

Profit Maximization and Competitive Supply.

The Analysis of Competitive Markets.

Market Power: Monopoly.

Monopolistic Competition and Oligopoly.

# Mathematics for Business – 9 cfu

## Mathematics for Business

Prof. ROSSI
rossi@econ.unito.it

Prof. MATTALIA
mattalia@econ.unito.it

Program:

Introduction to Logic Statements and Logical Operators, Logical Equivalence, Tautologies and Contradictions. Sets and Set Operations. Cartesian product, numerical sets. Real line, intervals, neighbourhoods.

Functions. Definition, feasible set, graph. Iniective, surjective, inverse and composite functions. Real function in one variable. Bound and monotone, functions. Minimum and maximum of a function. Elementary functions: power, logarithm, exponential functions.

Limits and Continuity. Definition of Limit. Continuous functions and fundamental theorems (no proofs).

Differential Calculus and applications. Notion of derivative. Numerical and Graphical Viewpoints. The Derivative: Algebraic Viewpoint. Derivative of elementary functions and rules of derivation. Fundamental theorems (no proofs). Higher-order derivatives. First and second order conditions. Economic application: marginal Analysis. Taylor’s approximation. Applications.

Functions of two variables. Domain of functions of two variables. Partial Derivatives. Maxima and Minima. No-constrained Maxima and Minima and Applications.

Financial Calculus: Common financial laws. Annuities. Amortization plans.

Textbooks

BORGONOVO, E. Introductory Mathematics for Business and Economics, Le dispense del Pellicano, Milano, EGEA, 2003
WANER S., S.R. COSTENOBLE (2001) Finite Mathematics and Applied Calculus, Brooks/Cole, a division of Thomson Learning, 2nd edition.

Class notes will be provided by the instructor.