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Presentation
Presentation
The Applied Quantitative Methods Curricular Unit aims to provide students with knowledge and tools that help in the area of ¿¿study.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULP6623-4944
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Linear Algebra: 1.1 Matrices 1.2 Determinants 1.3 linear systems 2. Functions: 2.1 Linear 2.2 Exponential 2.3 logarithmic 3. Calculus: 3.1 Limits 3.2 Derivatives 3.3 Integrals with management applications 4. Modelling: 4.1 Differential equations and stock/flow variables
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Objectives
Objectives
The objectives of the curricular unit are: - Develop the reasoning capacity of students; - Providing the basics of quantitative methods, usually applied in the fields of economics and management; - Provide students with knowledge regarding the selection of methods and processes that are best suited to solve a particular problem; - Use correctly the language of mathematics in the development of calculation techniques that build or deepen knowledge essential to the continuance of studies in the following years. At the end of the curricular unit the student should be able to: - Master the fundamental concepts related to infinitesimal analysis. - Identify the different types of equations, inequalities and real functions of a real variable. - Predict and characterize the functions to be used in practical application. - Apply the techniques of calculation in different situations
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching approach adopted is based on the active method, encouraging co-operative (peer) and creative learning. Face-to-face: 1. theoretical-practical teaching: Presentation of concepts and discussion of programme contents. 2. Laboratory practice: Completion of worksheets to analyse and interpret the results obtained; Critical analysis of case studies related to the subject area of the course. 3. Simulated practice: Scenarios and situations that allow students to explore real-world situations related to the subject area of the course, applying the fundamental maths concepts exposed and developing critical thinking. Autonomous: 4. Consolidation of the content taught in class by researching additional information on the different topics covered and developing additional work related to solving concrete problems and group dynamics.
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References
References
Marcos, M. G., & Oliveira, B. (2017). Álgebra Linear e Geometria Analítica (1.ª ed.). Sibalas & Desafios Murolo, A., & Bonetto, G. (2012). Matemática Aplicada à Administração, Economia e Contabilidade (2.ª ed.). Cengage Learning Tan, S. T. (2014). Matemática Aplicada à Gestão e Economia. (9ª edição) Cengage Learning
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Office Hours
Office Hours
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Mobility
Mobility
No
