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Quantitative Methods for Management I

Code: LGE2105    Acronym: MQGI

Subject: 2020/2021 - 1S

Teaching Area: Mathematics

Programmes

Acronym Study plan Curriculum Years ECTS Contact hours Total Hours
LGE Aviso n.º 9752/2017, de 23 de agosto 6 ECTS 62 160

Hours Effectively Taught

LGE1A

Theoretical-Practical: 45,00
Other: 17,00

LGE1N

Theoretical-Practical: 45,00
Other: 17,00

LGE1B

Theoretical-Practical: 45,00
Other: 17,00

Teaching - Hours

Theoretical-Practical: 3,00
Other: 1,13

Teaching Language

Portuguese

Aims, Skills and Learning Outcomes

DESCRIPTIVE SUMMARY OF CURRICULAR UNIT

In this course unit students are expected to acquire the basic skills for logical-mathematical development.
The importance of capacity development, organizational methods, problem solving and results analysis are the key to the discipline that allows the applicability in real situations related to areas of economics and management. In addition to the methodological issues, students will develop autonomy, critical thinking, research work and basic knowledge of mathematical models that allow decision-making and optimization of results.
In general, the topics covered allow us to obtain calculation tools to solve problems applied in everyday situations and specifically related to the area of the economics and management.

OBJECTIVES AND RESULTS OF LEARNING

1 - Identify real-life situations of application of concepts;
2 - Identify and be able to solve problems of with the application of mathematical concepts;
3 - To study mathematical models that involve the study of real functions of real variable;
4 - Optimize mathematical applications solutions in real context and economically interpret their solution.

COMPETENCES TO DEVELOP

a) The ability to make decisions and solve problems in a diversified and constantly changing reality;
b) The identification of problems, so that the student is induced to think first to perform in the best way all the necessary operations;
c) The ability to develop self-directed learning by being able to identify, organize, process and analyze information;
d) Numerical aptitude and use of calculation tools that allow data analysis, interpretation and extrapolation, with development of logical-mathematical reasoning;
e) Develop the ability to program, analyze and formalize information in order to optimize problem solving
f) To develop the mathematical, logical, critical, analytical reasoning and the students' autonomy in the application to the resolution of daily problems.

Programme

I - Real functions of real variable Brief
Review: Elementary and Graphical Functions: polynomial, exponential and logarithm;
Brief Review: Limits and Continuity;
Brief Review: Derivation, Complements and Applications;
Primitivation 

II - First order differential equations
Separate and separable variable equations;
Linear and Bernoulli equation;
Initial value problem: Exponential and logistic growth models. 

III - Real functions of several real variables
Domain, counterdomain;
Partial derivation;
Free optimization;
Conditional optimization: substitution method, Lagrange multiplier method;
Problem solving (consumer problem and producer problem)

Demonstration of the syllabus coherence with the curricular unit's learning objectives

Chapter I will deal with mathematical models that involve the study of real variable functions and the optimization of mathematical solutions of real context applications.
Chapter II and III will allow you to work with mathematical models that involve the study of real functions of real variables and work with an important level of abstraction in the deduction of model properties.
Therefore,
- Objectives 1 and 2 will be achieved in all chapters.
- Objective 3 will be achieved in Chapter I, which will provide the student with the acquisition of knowledge and calculation tools in R.
- Objective 4 will be achieved in Chapter II and III by introducing the concept of partial derivative and its applications in the economic context.

Main literature

James Stewart;Cálculo, vol. I e II, tradução da 8a edição norte-americana,, Cengage Learning, 2017
Edwin Jed Herman & Gilbert Strang;Calculus, volumes 1, 2 e 3, OpenStax, 2018

Supplementary Bibliography

Jaime Carvalho e Silva ;Princípios de Análise Matemática Aplicada, Mc Graw-Hill, 1999. ISBN: 9789729241550
Pires, Cesaltina;Cálculo para Economia e Gestão, Escolar Editora, 2011
FERREIRA, J. Campos;Introdução à Análise Matemática, Fundação Calouste Gulbenkian, 11ª ed. 2014
CERQUEIRA, António de Melo da Costa/ BELEZA DE VASCONCELOS, Paulo José A.;Funções Reais Definidas em IR": Exercícios e Aplicações, Litexa Editora, 1996

Learning Methods

Problem solving and practical activities of application of the contents will be approached in the theoretical-practical classes (using whenever necessary to the technologies and audio-visual methods).
Introduction of the theoretical concepts using examples of direct application in the economic area directed to show the relevance of the programmatic contents studied.
Application exercises, of the contents covered, in the resolution of daily problems, so that the student select the most appropriate method and be able to develop interest in the contents of the curricular unit and show its usefulness.
Accompaniment and orientation of students in the study and search for solutions to solve the problems proposed.


Assessment Components

Avaliação distribuída com exame final

Assessment Components

Description Type Time (hours) Conclusion Date
Attendance (estimated)  Lessons  45
 Teste/Exame  3
 Study  95
 Participação Presencial  17
  Total: 160

Continuous Assessment

1st Test: Weight: 35%; *
2nd Test: Weight: 45%; *
1 Work (Submitted trough e-learning platform): 20%

* The individual written tests will be without consultation and without recourse to any calculation aid.

According to the regulations of the Degree:

a) The effective attendance of students in class will be recorded and, if the number of absences per student exceeds 30% of the total number of contact sessions for each course unit, will be automatically transferred to the final evaluation of the normal season;

b) In the written tests and in the defined evaluation elements it is necessary to obtain a minimum grade of 7.5 points;

c) If the student misses or achieves a grade lower than 7.5 points in the tests or evaluation elements referred to in the previous number, he / she will be automatically transferred to the final evaluation of the normal season;

d) If the student misses or achieves a grade lower than 7.5 points in the second written test (held on the same date as the final written test of the normal season), he / she may require registration for evaluation at the time of appeal;

e) The written academic work foreseen in the assessment will have to be submitted in the Turnitin database, available on ISAG's E-Learning platform, with a similarity rate up to 30% acceptable.

Final Exam

Exam: Weight: 100%

Demonstration of the coherence between the teaching methodologies and the learning outcomes

Cognitive skills are developed through exposure and discussion in problem solving, but also in individual problem solving. The skills of sharing and teamwork are developed in supervised group work. Communication skills are acquired throughout the UC.