30454 - LOGIC AND METHODOLOGY OF SOCIAL SCIENCES
Course taught in English
Go to class group/s: 13
Class-group lessons delivered on campus
The contribution of this course is two-fold. First, it answers the intellectually ambitious student’s demand for a set of core conceptual and analytic tools which allow them to play an active role in society at large. Fluency with logic and reasoning are unquestionable preconditions for the full and free exercise of individual citizenship. Second, it provides students with highly transferable skills, which allow them to put material covered in other mathematically oriented courses in a broader perspective. In addition this course is designed to make students explicitly aware of a set of pervasive methodological questions related to mathematical modelling in economics and the social sciences. The mindset acquired through this course act as a recognisable step-stone for further academic work and eventually for the student’s professional career.
The course is composed of two modules:
- Mathematical Reasoning:
- Provides students with the nuts and bolts of mathematical.
logic, covering some key methods of proof.
- Provides students with the nuts and bolts of mathematical.
- Reasoning about mathematical models:
- Investigates, through examples, the virtues and limitations of axiomatizing social scientific concepts.
- Understand the idea of formal languages and formal proofs.
- Familiarise with the notion of algorithmic procedures.
- Understand the formal distinction between “truth” and “rational opinion”.
- Recognise elementary fallacies in logical and probabilistic reasoning.
- Assess critically the meaning of axiomatisations in economics and the social sciences.
- Understand the critical elements in the mathematical modelling of informal concaepts.
- Formalise expression in natural language.
- Decide algorithmically the validity/invalidity of some natural language arguments.
- Read original research in the methodology of the social sciences.
- Face-to-face lectures
- Exercises (exercises, database, software etc.)
- Individual assignments
- For each topic covered in class, students are given an exercise set which helps them consolidate their understading. Exercises are discussed in class, possibly in dedicated sessions.
- On a selection of particularly important and cross-disciplinary topics, projects are assigned to individuals who have an interest in broading their knowledge and "connecting the dots".
Continuous assessment | Partial exams | General exam | |
---|---|---|---|
x | x | x |
Attendance is very strongly encouraged. Not only attendance gives students a fuller appreciation of the material, but it gives them a unique opportunity to interact promptly with the lecturer should any difficulty arise, both in understading the material covered and in solving the exercises.
- Continuous assessment involves solving certain suitably labelled exercises by a given deadline: solving all of them correctly is a necessary condition for "distinction".
- Students scoring more than 16 to the first partial are admitted to the second.
A full set of lecture notes with exercises are provided for this course. Reference for further readings are also included.