BMA
19/08/2013 17:32I. Numbers (6 lectures)
- Prime numbers
- Interesting properties of prime numbers without proofs
- Ramanujan's work on the Prime Number Theorem
- Euclid's division algorithm
- Mathematical illustration through intuitive examples
- Visualisation through tiling analogy
- Encryption and Prime numbers
- Gentle introduction of 2 x 2 matrices
Constructing the RSA Algorithm
Project Themes
- Ramanujan's work
- Implementations of RSA algorithms
- Other methods of encryption
II. Data and patterns (6 lectures)
- Historical perspective and importance of data
- Kepler's law for planetary orbits from Tycho Brahe's astronomical observation
- Ramanujan's work on Prime numbers through data
- Data collection techniques
- Formulation of problem – goals, targets
- Methods to collect data – questionnaire, observations, recording, etc.
- How much of data is enough for the given problem
- Population and sample
Project Themes
- Collecting and organising data in various situations through practical methods, from the
internet and from other sources. - Use of spreadsheets for practical work related to the above concepts.
III. Statistics (8 lectures)
- Organisation of data
- Frequency table
- Grouping
- Visualisation of data
- Pictorially displaying data: dot plots, bar graphs, line graphs, pie charts
- Misinterpretation of data by distorting the figures: Scaling and axis manipulation,
Line graphs and cropping - Analysis of data
- Mean, median, mode, variance, standard deviation.
- Histogram, skewed distribution
- Comparing two distributions
Project Themes
- Statistical analysis of daily life data
- Statistical analysis of stock market data
- Statistical analysis of weather data
- Statistical analysis of data for better governance
IV. Probability (4 lectures)
- Interpreting probability, Sample Space, Events
- Understanding the tossing of a coin and throwing of dice for large number of trials Probability in a situation where there are equally-likely outcomes
- Probability of two independent events
V. Project Themes
- Compute probabilities from insufficient information
- Validity of computed probability
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