Mathematics in Political Science: An Introduction
| Title | Μαθηματικά στην Πολιτική Επιστήμη: Εισαγωγή / Mathematics in Political Science: An Introduction |
| Code | ΚΥ0206 |
| Faculty | Social and Economic Sciences |
| School | Political Sciences |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Ioannis Andreadis |
| Common | Yes |
| Status | Active |
| Course ID | 100001047 |
Programme of Study: PPS Tmīma Politikṓn Epistīmṓn 2023-sīmera
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Compulsory Course | 1 | 1 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600122653
|
Class Schedule
| Building | Αμφιθέατρο ΝΟΕ |
| Floor | Όροφος 1 |
| Hall | ΜΕΓΑΛΟ ΑΜΦΙΘΕΑΤΡΟ A (158) |
| Calendar | Friday 09:00 to 12:00 |
Course Type 2016-2020
- Background
- General Knowledge
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600122653
- At the Website of the School: http://www.polsci.auth.gr/el/polsci/5221
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=10277
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Objectives of the course is that students gain the following capabilities:
Ability to understand and apply an algorithm.
Ability to calculate the probability so that they can take political decisions based on real facts
Ability to reach useful conclusions using the results of the elections. (method of bounds)
Ability to abstract complex relationships and find the solution with the help of graph theory.
Ability to study social networks and analyze network effects on the formation of political views.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an interdisciplinary team
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
The course explores introductory concepts, algorithms and examples from probability theory, combinatorial theory (combinatorics), graph theory and set theory including relations and functions in sets.
With regard to combinatorial theory, the course examines the techniques of enumeration (enumerative combinatorics), the concepts of combinations, and permutations with or without repetitions.
With regard to probability theory, the course examines the concepts of probability and conditional probability. For graph theory, the course explores concepts, definitions, properties and algorithms with emphasis on planar and connected graphs.
The course also offers descriptions of the relations determined by finite sets and interpretations of the functions and graphic representations defined by them.
Keywords
Elecoral law, Algorithms, Combinatorics, Discrete Probability, Graphs
Educational Material Types
- Slide presentations
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Use of laptop and projector: For example, using spreadsheets to implement electoral systems.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 40 | 1.5 | ✓ | ||
| Laboratory Work | 30 | 1.1 | ✓ | ||
| Reading Assigment | 40 | 1.5 | ✓ | ||
| Tutorial | 28 | 1.0 | ✓ | ||
| Total | 138 | 5.0 |
Student Assessment
Description
Students need to have a 12-digit calculator (using your mobile phone as calculator is not permitted) and their book with them which they can consult during the exams to solve problems similar to those in the book. All exam items have equal weight (e.g. if there are 4 items, each item correspond to 2.5 points).
If there are assignments or exercises during the semester, participation in them is optional and the final grade of those who do not participate depends only on the grade of their final exams (i.e. if they have answered all the questions correctly, final their grade will be equal to 10). Any participation in assignments or exercises in the final grade of those who participate in them is communicated to the participants and depends on the level of difficulty and the quality of the tasks and exercises involved. In special cases (e.g. COVID-19) the above assignment-related settings are changed according to what is announced in elearning.auth.gr. Especially for the period of June 2020, the assessment will be based on a combination of assignments and oral examinations.
Student Assessment methods
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Χατζηπαντελής, Θ, & Ι. Ανδρεάδης, Μαθηµατικά στις Πολιτικές Επιστήµες, Εκδόσεις Ζήτη, 2005.
Aγγελής, E. και Γ. Mπλέρης, ∆ιακριτά µαθηµατικά, Tζιόλα,2003.
Additional bibliography for study
Aldous, J. M. και R. J. Wilson, Graphs and Applications: An Introductory Approach, Springer Verlag, 2000.
Biggs, N. L., Discrete Mathematics (αναθεωρηµένη έκδοση),Oxford Science Publications, 1990.
Grinstead, C. M. και J. L. Snell, Introduction to Probability (δεύτερη αναθεωρηµένη έκδοση), American Mathematical Society, 1997.
Paulos, J.Α., A Mathematician Reads the Newspaper, Turtleback Books-Demco Media, 1996.
Last Update
04-06-2020
