MATHEMATICS - 2

Academic year
2017/2018 Syllabus of previous years
Official course title
MATHEMATICS - 2
Course code
ET2018 (AF:252944 AR:146358)
Modality
On campus classes
ECTS credits
6 out of 12 of MATHEMATICS
Degree level
Bachelor's Degree Programme
Educational sector code
SECS-S/06
Period
2nd Term
Course year
1
Where
VENEZIA
This course provides an introduction to calculus for functions of one or more real variable as well as to linear algebra. Several examples and models from economics are also discussed. The aim of the course is helping students to acquire a habit for rigorous reasoning and precise language, as well as to become aware of how maths is used in the study of economic problems.
Topics usually taught in secondary school are assumed to be well known, and all the topics which are covered by the course Additional Learning Requirements in Mathematics (ALR). In particular the first five chapters of the textbook are assumed to be known.
Mathematics II is the second part of a unique course composed of two parts.


Mathematics I: Functions of one variable. Differentiation. Derivatives in use. Single-variable optimization. Discrete mathematics.

Mathematics II: Functions of many variables. Tools for comparative statics. Multivariable optimization. Constrained optimization. Matrix and Linear Algebra. Linear Programming.
Knut Sydsaeter, Peter Hammond, Arne Strom & Andrés Carvajal, Essential Mathematics for Economic Analysis, Pearson Education LTD, 5th edition
written and oral
Written exam, optional oral exam.

The written exam can also be undertaken by means of two written partial exams at the end of the first and second periods of the course (end of October, end of December). Students having a grade of at least 8/30 in each of the two partials may acceed the oral exam with a grade equal to the sum of the two partial grades (16/30 minimum), or register the grade when at least of 18/30.
Lectures and practice sessions.
English
  • Course with sustainable contents
  • University credits of sustainability: 6
  • Lecture notes, material for reference or for self-assessment available online or as e-book
  • Use of open-source software
Last update of the programme: 17/09/2017