🃏 Probability I
About this lecture
Hello and Welcome to this introductory Lecture in Probability!
These Course Notes are a complement to the Lecture Probability I.
The Lecture is divided in the following Chapters, and each Chapter contains several themes.
|1||Introduction||Intro, Mathematics reminder and Combinatorics.||☑️|
|2||Elements of Set Theory For Probability||Random variables, Trees, Venn diagram, Conditional probability, Independence & Bayes’ theorem.||☑️|
|3||Axiomatic Foundations of Probability||Probability Axioms, Illustrations of use||☑️|
|4||Discrete random variables||Definitions, Expected value and variance, Binomial, Poisson, Negative binomial and Hypergeometric||🔧|
|5||Continuous random variables||Definitions, Expected value and variance, Cumulative distribution function (cdf) and Probability density function (pdf), Some important examples: Uniform, Exponential, Gamma, Normal, logNormal, Student’s t, Relationships||🔧|
|6||Limit Theorems||Weak Law of Large Numbers (WLLN) and Central Limit Theorem (CLT)||📝|
|7||Bivariate Discrete Random Variables||📝|
|8||Elements of Simulation||Numerical methods for the simulation of random variable with a given CDF.||📝|
- ☑️ = Ready (almost surely with typos).
- 🔧 = Fine-tuning.
- 📝 = Writing.
Who we are
Daniel FLORES AGREDA
Data Science Course Developer and InstructorDaniel.Flores@unige.ch
Teaching and Research AssistantEdoardo.Vignotto@unige.ch
Davide LA VECCHIA
Associate Professor at Geneva School of Economics and ManagementDavide.Lavecchia@unige.ch
Teaching and Research Assistant, PhD. student at Geneva School of Economics and ManagementManon.Felix@unige.ch
Teaching and Research Assistant, PhD. student at Geneva School of Economics and ManagementAlice.Scattolin@unige.ch
- Davide La Vecchia, Associate Professor at Geneva School of Economics and Management
- M. Manon Felix, Teaching and Research Assistant, PhD. student at Geneva School of Economics and Management
- M. Alice Scattolin, Teaching and Research Assistant, PhD. student at Geneva School of Economics and Management
The Lectures will take place in the room MR280 on Thursday from 12h15 to 14h00. For those students who cannot attend the lectures, a recording will be available on Mediaserver.
Seminars will take place on Thursday from 16h15 to 18h00 in the room MS130. The seminars are not recorded.
Every two week (starting from the third one), tutorials will take place on Wednesday from 16h15 to 18h00 in the room MS160. The tutorials are not recorded.
You have access to a new forum on SpeakUp to submit your potential questions.
Aside from these Course Notes, you can check:
- A first course in probability, S. Ross (any edition), Ed: Pearson New International Edition, cited as Ross (2014).
We will not be following the content of this book beat-by-beat, but it is available for reference and/or in case you want a different explanation or go deeper in the context of the Course.