Mathematics
Education objectives
Mathematics is a science that underpins all scientific and technological areas, and also the Economics and Social Sciences.
The main objective of the course that now presents itself is to provide a sound basic training in mathematics, balanced in its various aspects, covering the areas of knowledge essential to the development in later cycles (2. And 3. Cycles) of advanced training. It is intended that this training provides the necessary basis for further studies in the area of Mathematics Education or in the area of Applied Mathematics.
As an example of areas in applied mathematics, to develop in later cycles, according to the specific skills of the faculty of the Mathematics Department of the FCT to mention: Actuarial; Algebra and Logic, Numerical Analysis and Differential Equations, Operational Research and Optimization, Probability and Statistics.
Statistics is the art of extracting information. It has applications, among others, market research, design and interpretation of experiences and Financial Mathematics. The Operational Research is aimed at creating models that allow the study of complex systems and optimal use of resources. The Actuarial Science aim to study the risk (life, accident risk, risk in the stock market). Differential Equations and its Numerical treatment are the foundation of modern physics and engineering, are still present in many biological processes and economic.
Algebra and Logic as core areas of mathematics are also largely responsible for the development of information and recent computational techniques.
Mathematics Education aims at training teachers for Basic and Secondary Education.
General characterization
DGES code
828
Cicle
Bachelor (1^{st} Cycle)
Degree
Licenciado
Access to other programs
Access to 2nd cycle
Coordinator
Jorge Orestes Lasbarrères Cerdeira
Opening date
September
Vacancies
Available soon
Fees
Portuguese students: 697 €/year
Foreign students: 7000 €/year
(Students from CPLP countries may apply for a reduction of up to 50% of tuition fees, subject to the following conditions:

1st Registration: students must demonstrate through their academic certificates that their academic performance is in the first quartile of the evaluation scale used in the system of their country or school of origin;

Subsequent enrollments (regardless of the year of entry): exclusively for academic merit, that is, approval in all UCs in which the student enrolled in the previous year, totaling 60 ECTS each year.
Schedule
Daytime.
Teaching language
Available soon
Degree prerequisites
Duration : 3 years
Credits : 180 ECTS
Scientific Area  Acronym  ECTS  
Mandatory  Optional  
Transferable Skills  CC  3  0 
Social Sciences and Humanities  CHS  3  0 
Physics  F  3  0 
Informatics  I  6  0 
Mathematics  M  135  24 
Any Scientific Area  QAC  0  6(a) 
TOTAL  150  30 
(a) 6 ECTS in courses chosen by the student on a list approved annually by the Scientific Council of FCT NOVA, which includes the unity of all scientific areas of FCT NOVA.
Conditions of admittance
Available soon
Evaluation rules
The evaluation of all UCs is continuous for all the components that integrate it, and it must be completed by the last day of the school term of the academic semester.
The continuous evaluation of a UC must include a minimum of three elements in the set of evaluation components, on dates adequately spaced throughout the period of classes.
All UCs with a theoreticalpractical evaluation component must provide, in addition, a form of evaluation of this component by exam, to be carried out after the period of classes (Examination of Appeal).
All requirements and conditions related to the evaluation of the UC, namely the minimum weights and classifications, if any, of each component, as well as the Frequency conditions, are defined a priori and, mandatorily, published in the Discipline Form.
For each UC, combinations of three evaluation components are allowed: (i) Theoreticalpractical evaluation; (ii) Laboratory or project evaluation; (iii) Summative assessment.
Regulamento de Avaliação de Conhecimentos (Licenciaturas, Mestrados Integrados e Mestrados.)
Structure
1.º Semester  

Code  Name  ECTS 
10970  Linear Algebra I  6.0 
10969  Mathematical Analysis I A  9.0 
10971  Introduction to Logic and Elementary Mathematics  9.0 
3622  Introduction to Programming  6.0 
2.º Semester  

Code  Name  ECTS 
10973  Linear Algebra II  9.0 
10972  Mathematical Analysis II A  6.0 
10352  Soft Skills for Science and Technology  3.0 
10974  Geometry  6.0 
10975  Probability and Statistics I  6.0 
3.º Semester  

Code  Name  ECTS 
10977  Algebra I  9.0 
10976  Mathematical Analysis III A  6.0 
10979  Numerical Analysis I  6.0 
10978  Probability and Statistics II  9.0 
4.º Semester  

Code  Name  ECTS 
10981  Algebra II  6.0 
10980  Mathematical Analysis IV A  6.0 
10982  Numerical Analysis II  6.0 
10358  Science, Technology and Society  3.0 
10942  Introduction to Physics  3.0 
10983  Linear Optimization  6.0 
5.º Semester  

Code  Name  ECTS 
7813  Complex Analysis  6.0 
7814  Differential equations  6.0 
3107  Introduction to Operational Research  6.0 
7816  Measure Integration and Probability  6.0 
10984  Topology and Introduction to Functional Analysis  6.0 
6.º Semester  Opção A  

Code  Name  ECTS 
Options  
10986  Computational Algebra  3.0 
10985  Mathematics of Finance  3.0 
10987  Introduction to Set Theory  3.0 
O aluno deverá obter 3.0 créditos nesta opção. 
6.º Semester  Opção B1  

Code  Name  ECTS 
Options  
3121  Applied Statistics  6.0 
10837  Differential Geometry  6.0 
10836  Introduction to Algebraic Geometry and Applications  6.0 
10988  Introduction to Calculus of Variations  6.0 
10839  Introduction to Graph Theory  6.0 
10838  Introduction to Number Theory  6.0 
7818  Analytical Mechanics  6.0 
7820  Systems Modelling  6.0 
3120  Stochastic Processes  6.0 
O aluno deverá obter 6.0 créditos nesta opção. 
6.º Semester  Opção B2  

Code  Name  ECTS 
Options  
3121  Applied Statistics  6.0 
10837  Differential Geometry  6.0 
10836  Introduction to Algebraic Geometry and Applications  6.0 
10988  Introduction to Calculus of Variations  6.0 
10839  Introduction to Graph Theory  6.0 
10838  Introduction to Number Theory  6.0 
7818  Analytical Mechanics  6.0 
7820  Systems Modelling  6.0 
3120  Stochastic Processes  6.0 
O aluno deverá obter 6.0 créditos nesta opção. 
6.º Semester  Opção B3  

Code  Name  ECTS 
Options  
3121  Applied Statistics  6.0 
10837  Differential Geometry  6.0 
10836  Introduction to Algebraic Geometry and Applications  6.0 
10988  Introduction to Calculus of Variations  6.0 
10839  Introduction to Graph Theory  6.0 
10838  Introduction to Number Theory  6.0 
7818  Analytical Mechanics  6.0 
7820  Systems Modelling  6.0 
3120  Stochastic Processes  6.0 
O aluno deverá obter 6.0 créditos nesta opção. 
6.º Semester  Opção PIIC/PIPP  

Code  Name  ECTS 
Options  
10601  Undergraduate Research Opportunity Program  3.0 
10600  Undergraduate Practice Opportunities Program  3.0 
O aluno deverá obter 3.0 créditos nesta opção. 
6.º Semester  Unidade Curricular do Bloco Livre  

Code  Name  ECTS 
Options  
11066  Unrestricted Electives  6.0 
O aluno deverá obter 6.0 créditos nesta opção. 
No 3.º ano os estudantes deverão realizar uma unidade curricular, escolhida pelo próprio, de entre as de um bloco definido em cada ano pelo Conselho Científico da FCTUNL, bloco esse que inclui unidades de todas as áreas científicas da FCTUNL.