What random variable should I use?

Unit 1

core probability, axiom of probability, counting, combination, permutation, DeMorgan’s Law.

• SU-CS109 SEP272023
• SU-CS109 SEP292023
• SU-CS109 OCT022023
• SU-CS109 OCT042023
• SU-CS109 OCT062023
• SU-CS109 OCT112023

Unit 2

random variables

• SU-CS109 OCT092023
• SU-CS109 OCT132023
• SU-CS109 OCT162023
• SU-CS109 OCT182023

Unit 3

inference, General Inference

• SU-CS109 OCT202023
• SU-CS109 OCT232023
• SU-CS109 OCT252023
• SU-CS109 OCT272023

Unit 4

Beta Distribution, central limit theorem, bootstrapping

• SU-CS109 NOV012023
• SU-CS109 NOV032023
• SU-CS109 NOV102023

Unit 5

Apredezahe de machinas: Naive Bayes, logistic regression, deep learning

• SU-CS109 NOV132023
• SU-CS109 NOV292023
• SU-CS109 DEC012023
• SU-CS109 DEC042023

Notes

• SU-CS109 Midterm
• SU-CS109 Midterm Sheet

Lecture notes taking during CS238, decision making. Stanford Intelligence Systems Laboratory (SISL: planning and validation of intelligent systems).

Big Ideas

Themes

1. There’s a principled mathematical framework for defining rational behavior
2. There are computational techniques that could lead to better, and perhaps counter-intuitive decisions
3. Successful application depends on your choice of representation and approximation
   • you typically can’t solve mathematical models exactly
   • so, we have to rely on good models of approximations
4. The same computational approaches can be applied to different application domains
   • the same set of abstractions can be carried through life
   • send Mykel a note about how these topics about where this stuff is applied

These algorithms drive high quality decisions on a tight timeline. You can’t fuck up: people die.

Notes on CS 107, C, MIPS, and computational systems.

Lectures

• SU-CS107 SEP272023
• SU-CS107 SEP292023
• SU-CS107 OCT022023
• SU-CS107 OCT032023
• SU-CS107 OCT042023
• SU-CS107 OCT062023
• SU-CS107 OCT092023
• SU-CS107 OCT112023
• SU-CS107 OCT132023
• SU-CS107 OCT182023
• SU-CS107 OCT202023
• SU-CS107 OCT232023
• SU-CS107 OCT252023
• SU-CS107 OCT272023
• SU-CS107 NOV102023
• SU-CS107 NOV132023
• SU-CS107 DEC012023

Worksheets

• SU-CS107 Midterm Sheet

Notes on MATH 109, group theory.

Lectures

• SU-MATH109 SEP272023

PSets

These links are dead.

• SU-MATH109 Problem Set 1

Course logistics

• midterm: November 1st, final: December 14th, 8:30-11:30
• WIM assignment: December 8th, start of class (no late submissions)
• PSets: 8 in total, posted on Wednesdays at 8A, due following Tuesday at 8A

process of Engineering: chronological order

• User Interviews + User Stories
• Requirements Analysis
• Documentation and Specification
• Build the damned thing
  • Project Management and Development Methodology (SDLC)
  • Task Estimation
  • Software Design and Architecture Patterns
  • Testing
• Build and Release engineering (TODO)

Other topics

• Query optimization (TODO)

Fucking acronyms to know

• AAA Method
• SOLID principles
• STAR method: state behaviorals in Situation, Task, Action, Results

fundamental trade-off of Software Engineering

The MIT vs. New Jersey problem: in Software Engineering, you can only choose one of FAST or ROBUST.