Credits
6
Types
Compulsory
Requirements
This subject has not requirements
, but it has got previous capacities
Department
MAT
Web
https://web.mat.upc.edu/fib/fm-gia/
Teachers
Person in charge
- Mercè Mora Giné ( merce.mora@upc.edu )
- Montserrat Maureso Sánchez ( montserrat.maureso@upc.edu )
Weekly hours
Theory
2
Problems
2
Laboratory
0
Guided learning
0
Autonomous learning
6
Competences
Transversals
Generic
Objectives
-
Know how to use the summation notation. Be able to manipulate expressions with sums.
Related competences: CG4,
Subcompetences- Be able to manipulate expressions with double sums.
- Be able to identify arithmetic progressions and geometric progressions. Be able to calculate the general term and the sum of consecutive terms of these progressions.
- Know the summation symbol.
- Be able to manipulate expressions with summations.
-
Know and be able to use formal language and mathematical reasoning. Be able to understand and make demonstrations.
Related competences: CT6, CG4,
Subcompetences- Know the universal and existential quantifiers.
- Know the main demonstration methods.
- Know the main logical connectives.
- Know the Induction Principle.
- Be able to perform simple mathematical demonstrations.
-
Know the language of set theory.
Related competences: CG4,
Subcompetences- Know that the set of parts of a set with intersection and union operations has Boolean algebra structure.
- Know the main operations of sets (union, intersection, difference, complementary, set of parts, Cartesian product).
- Know what the binomial numbers are and some of its properties.
- Know what the cardinal of a set is.
-
Know the equivalence relations.
Related competences: CG4,
Subcompetences- Know what a binary relationship is.
- Know how to identify binary relations that are equivalence relations.
- Know what equivalence classes are and what a partition is. Know the relationship between equivalence classes and partitions.
-
Know what is a map and its properties.
Related competences: CG4,
Subcompetences- Be able to identify a map.
- Be able to calculate images and anti-images for a map.
- Be able to identify an injection, surjection, bijection.
- Be able to compose maps.
- Know what the inverse of an application is. Be able to calculate the inverse, when it exists, in simple cases.
-
Know the main objects of combinatorics.
Related competences: CG4,
Subcompetences- Know the Pigeonhole Principle.
- Know the definition of cardinality of a set and the main difference between finite and infinite sets.
- Know and be able to calculate the number of ways to select objects whether or not the order of the elements is taken into account, and whether or not repetition of objects is allowed.
- Be able to calculate the number of configurations with certain properties.
-
Know the language of graph theory.
Related competences: CT6, CG4,
Subcompetences- Be able to identify graphs as a binary relation.
- Be able to identify a tree. Know the characterization and main properties of trees.
- Know the main terminology of Graph Theory.
- Know the Handshake Lemma. Be able to use it to deduce properties of graphs.
- Know the different types of walks in a graph. Be able to calculate the distance between two vertices. Be able to calculate the diameter and radius of a graph. Be able to find the connected components of a graph. Know what a cut vertices and bridges are.
Contents
-
Formalism and proofs.
Summation notation. Summation manipulation. Double sums. Arithmetic and geometric progressions.Propositions. Logical connectives. Tables of truth. Quantifiers. Demonstration methods. Induction principle. -
Set Theory
Sets. Cardinalities. Subsets. Representation of a subset as a binary word. Binomial numbers. Operations with sets: union, intersection, difference, complementary, Cartesian product. Power set.
Binary relations. Equivalence relations. Equivalence classes. Partitions Quotient set.
Maps. Images and anti-images. Composition. Injective, exhaustive and bijective maps. Inverse. -
Combinatorics
Cardinalities. Finite and infinite sets. Pigeonhole Principle. Permutations and combinations with and without repetition. Binomial numbers. Permutations of multisets. Multinomial numbers. Inclusion-exclusion principle. -
Graphs
Graphs. Representation of graphs. Degrees. Adjacency matrix. Handshaking Lemma. Isomorphisms. Operations with graphs. Walks. Connected graphs. Distance. Cut vertices and bridges. Trees. Spanning trees.
Activities
Activity Evaluation act
Summation
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 1
Contents:
Theory
2h
Problems
2h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h
Reasoning
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 2
Theory
4h
Problems
4h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h
Sets
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 3
Contents:
Theory
2h
Problems
4h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h
Equivalence relations
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 4
Theory
2h
Problems
2h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h
Maps
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 5
Theory
2h
Problems
2h
Laboratory
0h
Guided learning
0h
Autonomous learning
6h
Combinatorics
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 6
Contents:
Theory
5h
Problems
8h
Laboratory
0h
Guided learning
0h
Autonomous learning
12h
Graphs
The student must study and assimilate the concepts explained in theory class and apply them to do the exercises indicated and that will be solved in problem classes.Objectives: 7
Contents:
Theory
8h
Problems
8h
Laboratory
0h
Guided learning
0h
Autonomous learning
16h
Final exam
Final exam on the contents of the second part of the course, but which may require knowledge and application of the methods seen in the first part of the course,Objectives: 1 2 3 4 5 6 7
Week: 15 (Outside class hours)
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
0h
Autonomous learning
0h
Teaching methodology
The theory classes consist of exposing the theoretical contents together with examples and possible applications.In problem classes, exercises from a list published list will be solved. Students have to prepare them in advance.
Evaluation methodology
The grade for the course will be obtained from:-a midterm exam, P;
-a final exam, F;
-valuation of work and achievement of objectives throughout the course, C.
In the midterm exam, the contents of the first part of the subject will be evaluated.
In the final exam will be evaluated mainly the contents of the second part of the subject, but it may be necessary to apply knowledge and methods previously seen .
The midterm and final exams will take place outside of class hours.
In addition, the continuous work of the student will be evaluated through questionnaires and/or delivery of exercises carried out in class or outside class hours.
The assessment of the transversal competence is included in the grades above, since the application of the competence is required to achieve the objectives of the subject.
The final grade of the course will be:
max(0.30*P+0.50*F +0.20*C,F)
where P, F and C are the marks, up to 10, of the partial exam, the final exam and of the continued work, respectively.
The grade of not presented (NP) will be awarded to students who have not taken either the partial exam or the final exam.
The grade of the transversal competence will be in terms of the final grade:
A: final grade from 8 to 10
B: final grade from 6.5 to 7.9
C: final grade from 5 to 6.4
D: final grade from 0 to 4.9
NA: final grade NP
Reassessment: Only those who have failed the final exam may take the reassessment. The maximum grade that can be obtained in the reassessment is 7.
Bibliography
Basic
-
Matemática discreta y sus aplicaciones
- Rosen, Kenneth H; Pérez Morales, José Manuel,
McGraw-Hill,
cop. 2004.
ISBN: 8448140737
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991002813919706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Discrete mathematics
- Biggs, Norman L,
Oxford University Press,
2002.
ISBN: 9780198507178
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991003169029706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Apropament a la teoria de grafs i als seus algorismes
- Gimbert i Quintilla, Joan,
Universitat de Lleida,
1998.
ISBN: 9788489727656
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991001759319706711&context=L&vid=34CSUC_UPC:VU1&lang=ca
Complementary
-
Cómo hablar, demostrar y resolver en matemáticas
- Guzmán, Miguel de,
Anaya,
cop. 2003.
ISBN: 8466726136
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991002683269706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Matemática discreta
- Biggs, Norman L,
Vicens-Vives,
1994.
ISBN: 9788431633110
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991001046059706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Discrete mathematics with proof
- Gossett, Eric,
John Wiley & Sons,
cop. 2009.
ISBN: 9780470457931
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991003820179706711&context=L&vid=34CSUC_UPC:VU1&lang=ca -
Matemática discreta
- Comellas Padró, Francesc,
Edicions UPC,
2001.
ISBN: 9788483014561
https://discovery.upc.edu/discovery/fulldisplay?docid=alma991002215499706711&context=L&vid=34CSUC_UPC:VU1&lang=ca
Web links
- Pàgina web de l'assignatura (en construcció) https://web.mat.upc.edu/fib/fm-gia/