Facultatea de Științe Economice și Gestiunea Afacerilor
Str. Teodor Mihali nr. 58-60
Cluj-Napoca, RO-400591
Tel.: 0264-41.86.52-5
Fax: 0264-41.25.70
econ@econ.ubbcluj.ro
www.econ.ubbcluj.ro
DETAILED SYLLABUS
Mathematics for Economics
1.
Information about the program
1.1 Higher education institution
1.2 Faculty
1.3 Department
1.4 Field of study
1.5 Study cycle
1.6 Specialization/Program of study
2.
Babes-Bolyai University Cluj-Napoca
Faculty of Economics and Business Administration
Statistics-Forecasts- Mathematics
Accounting
Bachelor
Accounting and Management Information Systems
Information about the discipline
2.1 Discipline title
Mathematics for economics
2.2 The holder of the course
Prof. dr. Paula Claudia CURT
activities
2.3 The holder of the seminar
Assoc. Prof. dr. Alin Vasile
activities
ROSCA
2.4 Year of study
3.
I
2.5 Semester
1
ES (i.e.
summative
2.6 Type of assessment
2.7 Discipline regime
examination
)
OB(m
andato
ry)
Total time estimated (hours per semester of teaching)
3.1 Number of hours per week
4
From which: 3.2 course
2
3.3 seminar/laboratory
2
3.4 Total hours of curriculum
56 From which: 3.5 course
28
3.6 seminar/laboratory
28
Time distribution
Study after textbook, course support, bibliography and notes
Additional documentation in library, on specialized electronic platforms and on the field.
Preparing seminars/laboratories, essays, portfolios and reports.
Tutoring
Examinations
Others activities...................................
3.7 Total hours for individual
94
study
3.8 Total hours per semester
150
3.9 Number of credits
6
4.
Preconditions (if necessary)
4.1 Of curriculum
4.2 Of skills
5.
It is not the case
It is not the case
Conditions (if necessary)
NOTE: This document represents an informal translation performed by the faculty
Hour
s
32
18
38
3
3
5.1. For conducting the
course
5.2. For conducting
seminar/laboratory
Students will be present at the scheduled time
Students will be present at the scheduled time
6. Specific skills acquired
Profess •
ional
•
skills
•
•
Transv •
ersal
•
skills
•
The adequate use of the concepts, theories, methods and tools specific to economics, for the well
functioning of the private or public organizations
Ability to collect, select, process and analyse relevant data and information;
The ability to conduct analysis of the international strategies in order to adapt the activity of the
organization to the global context.
The ability to use the information and the data available at the level of the organization in order to
prioritize the managerial actions to be taken.
Applying the principles, the norms and the ethical values of the profession such that the graduates are
able to construct a rigorous, efficient and responsible strategy of work.
The ability to identify the roles and responsibilities within a team of complex tasks, being able to
insure with the rest of the teammates an efficient team work
The ability to identify the opportunities for continuous professional development and the efficient use
of all the identified resources and techniques.
7. Course objectives (arising from grid of specific skills acquired)
7.1 General objective of the
discipline
7.2 Specific objectives
To familiarize students with techniques and mathematical methods used in
any economic field, within both the academic world and the business real
world.
 Understand the fundamental concepts of calculus (functions, limits,
partial derivatives, integrals) and be able to apply the methods of
calculus to solve real optimization problems from a theoretical and
an applied perspective;
 Introduction to concepts of randomness and uncertainty: probability,
random variables;
 Intended to prepare students for applications of probability theory in
other parts of economics;
8. Contents
8.1 Course
Calculus: Functions of one variable. Derivatives. .Economical applications.
Euler’s integrals.
Calculus: Functions of several variables. Partial derivatives. Differentiability.
Extrema. Constrained extrema. Economic order quantity. The least square
method. Economical applications.
Probabilities: Probability spaces. Classical probabilistic models. Random
variables. Classical distributions. Economical applications
NOTE: This document represents an informal translation performed by the faculty
Teaching
Observations
methods
The professor
gives a talk and
encourages
3 courses
discussions on the
theme.
The professor
gives a talk and
encourages
4 courses
discussions on the
theme.
The professor
gives a talk and
encourages
7 courses
discussions on the
theme.
Bibliography:
1. Budnick, F. S., Finite mathematics with applications, McGraw Hill, 1985
2. Curt, P., Filip, D. A.,Quantitative Methods in Economics, Editura Mediamira, 2009
3. Hoffman, L. D., Calculus for Business, Economics, and the Social and Life Sciences, Third Edition,
McGraw-Hill Inc., 1986
4. Hsu, Hwei P., Schaum’s Outline of Theory and Problems of Probability, Random Variables, and Random
Processes, McGraw-Hill Inc., 1997
5. Meester, R., A Natural Introduction to Probability Theory, Birkhauser, 2000
6. Ross, S., Introduction to Probability Models, Academic Press, 2003
7. Simon, C., Blume., L. Mathematics for Economists, W. W. Norton & Compony, 1994
8. Stewart, J., Calculus, Early Transcendentals, 6th edition, Thomson
9. Tan, S. T., Calculus for the Managerial, Life, and Social Sciences, PWS Publishers, 1987;
10. Zill, D. G.., Calculus with Analytic Geometry, PWS Publishers, 1985;
Teaching
8. 2 Seminar/laboratory
Observations
methods
Problems and exercises which correspond to each theoretical chapter.
Solving problems 14 seminars
Economical applications. Case studies
Analysis of terms
and concepts,
discussions, case
studies,
discussion of the
homework etc.
Bibliography:
1. Budnick, F. S., Finite mathematics with applications, McGraw Hill, 1985
2. Curt, P., Filip, D. A.,Quantitative Methods in Economics, Editura Mediamira, 2009
3. Hoffman, L. D., Calculus for Business, Economics, and the Social and Life Sciences,
Third Edition, McGraw-Hill Inc., 1986
4. Hsu, Hwei P., Schaum’s Outline of Theory and Problems of Probability, Random
Variables, and Random Processes, McGraw-Hill Inc., 1997
5. Meester, R., A Natural Introduction to Probability Theory, Birkhauser, 2000
6. Ross, S., Introduction to Probability Models, Academic Press, 2003
7. Simon, C., Blume., L. Mathematics for Economists, W. W. Norton & Compony, 1994
8. Stewart, J., Calculus, Early Transcendentals, 6th edition, Thomson
9. Tan, S. T., Calculus for the Managerial, Life, and Social Sciences, PWS Publishers, 1987;
10. Zill, D. G.., Calculus with Analytic Geometry, PWS Publishers, 1985;
9. Corroboration / validation of the discipline content according to the expectations of the epistemic
community representatives, of the ones of the professional associations and also of the representative
employers of the corresponding program.
In any economic field there are required minimal skills to present and describe the most important characteristics of
some specific conflict situations. In this context, Mathematics for Economics is the first course which provides the
students the tools for modeling practical, real situations. Therefore, it is a course of vital importance for the
professional development of any undergraduate in any economic field.
10. Evaluation
Type of activity
10.4 Course
10.1 Evaluation criteria
The degree by which the students correctly
acquired the concepts, notions and tools of
analysis and probabilities
The ability to use the concepts, notions and
tools of analysis and probabilities in
economic applications (i.e. practical
problems, real life situations, etc.).
10.5
The degree by which the students correctly
Seminar/laborator acquired the concepts, notions and tools of
y
analysis and probabilities
10.2 Methods of assessment
Written exam
10.3 Share in
final grade
50%
The final exam consists of two
theoretical subjects and 3 practical
ones
1 written test
Presence and active participation
will be taken into account.
NOTE: This document represents an informal translation performed by the faculty
50%
The ability to use the concepts, notions and
tools of analysis and probabilities in
economic applications (i.e. practical
problems, real life situations, etc.).
The assessment of the homework
projects. The assessment tries to
measure the degree by which the
students acquired the theory and
the ability to apply it in practical
examples and real life situations.
The realization of the homework
projects is conditioning the
obtaining of the final grade.
10.6 Minimum standard of performance
The ability to use mathematical reasoning to model and solve practical problems from a large variety of fields.
Date of filling
28.01.2015
Signature of the course professor
Prof. dr. Paula Claudia CURT
Date of approval by the department
06.02.2015
Signature of the seminar professor
Assoc. Prof. dr. Alin Vasile ROSCA
Head of department’s signature
Prof. dr. Diana Andrada FILIP
NOTE: This document represents an informal translation performed by the faculty