Code: | M3011 | Acronym: | M3011 | Level: | 300 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Mathematics |
Active? | Yes |
Responsible unit: | Department of Mathematics |
Course/CS Responsible: | Bachelor in Biology |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
L:B | 0 | Official Study Plan | 3 | - | 6 | 56 | 162 |
L:CC | 2 | Plano de estudos a partir de 2014 | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:F | 2 | Official Study Plan | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:G | 0 | study plan from 2017/18 | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:M | 24 | Official Study Plan | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:Q | 0 | study plan from 2016/17 | 3 | - | 6 | 56 | 162 |
With this course, it is intended that students will know and understand some of the main results of Discrete Mathematics that, for its present relevance within Mathematics, and by its special applicability, inside and outside Mathematics, should be of general knowledge for mathematicians. In this course the students should also develop their ability to solve combinatorial problems and the ability do solve problemas looking for the more suitable structure.
Upon completing this course, the student should know and be able to apply the concepts and results covered in the course. It is intended that this unit contribute to the furthering of skills in the field of discrete mathematics. In summary, it is intended that upon completion of this class the student can:
-Understand and apply fundamental combinatorial techniques as well as understand when these can or cannot be applied.
-Use appropriate techniques and problem solving skills on new problems.
-Recognize mathematical structures (e.g. algebraic ones) in combinatorial problems, can formulate them and solve them using the corresponding techniques.
-Be mathematically creative and inquisitive, being capable of formulating interesting new questions in combinatorics.
DYNAMICAL SYSTEMS MODULE
1. SHIFT SPACES
- Full Shifts
- Shift Spaces
- Languages
- Higher Block Shifts and Higher Power Shifts
- Sliding Block Codes
- Convolutional Encoders
2. SHIFTS OF FINITE TYPE
- Finite Type Constraints
- Graphs and Their Shifts
- Graph Representations of Shifts of Finite Type
- State Splitting
- Data Storage and Shifts of Finite Type
3. ENTROPY
- Definition and Basic Properties
- Perron-Frobenius Theory
- Computing Entropy
- Irreducible Components
- Cyclic Structure
1. ENUMERATIVE COMBINATORICS
- The Knaster–Tarski fixed point theorem, Banach Theorem and Schroder–Bernstein Theorem
- Inclusion-exclusion principle and applications to number theory
- Integer partitions and generating functions
- The 12-fold way
- Euler's pentagonal Theorem
2. GROUPS AND PERMUTATIONS
- Permutation statistics
- Counting under a group action and Polya theory
- Walks in graphs
3. RECURRENCE RELATIONS AND GENERATING FUNCTIONS
- Finite differences and discrete analysis
- Recurrence relations: formalization and classification
- Generating functions and solutions of recurrence relations
[Tentative, time allowing]
4. ALGEBRAIC COMBINATORICS
- Random walks
- Radon transform on hypercubes
- The Sperner property
Expositional classes with discussion of examples and resolution of exercises.
designation | Weight (%) |
---|---|
Exame | 100,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 106,00 |
Frequência das aulas | 56,00 |
Total: | 162,00 |