-
Presentation
Presentation
Quantitative Methods II deepens the skills developed in Quantitative Methods I, focusing on multivariable calculus, integration, series and computational applications. It targets students in Management promoting the resolution of complex problems in economic/management and technological contexts.
-
Class from course
Class from course
-
Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
-
Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
-
Code
Code
ULP292-3458
-
Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
-
Professional Internship
Professional Internship
Não
-
Syllabus
Syllabus
1. Calculus in R^n: Partial derivatives, gradient, optimization. 2. Integration: Definite, indefinite, improper. 3. Series: Sequences, convergent series, convergence criteria. 4. Computational applications: AI, game theory.
-
Objectives
Objectives
Develop skills in multivariable differential calculus, integration and numerical series. Apply these concepts to optimization problems, cost analysis, surplus and mathematical modelling. Integrate digital tools and algorithms in solving practical management problems.
-
Teaching methodologies and assessment
Teaching methodologies and assessment
Active methodologies will be used, such as solving real-world problems, simulations, use of software (Octave, R, Excel) and interdisciplinary projects involving artificial intelligence for coding of software. Learning is student-centered and focused on the practical application of knowledge.
-
References
References
Clendenen, G., & Salzman, S. (2024). Business Mathematics (15.ª ed.). Pearson. Hazzan, S. (2021). Matemática básica: Para administração, economia, contabilidade e negócios. Atlas.
-
Office Hours
Office Hours
-
Mobility
Mobility
No
