CGSC 1005 Lecture Notes - Lecture 1: Algorithm Design, Pattern Recognition, E-Book

• School: Carleton University
• Department: Cognitive Science
• Course: CGSC 1005
• Professor: Kasia Muldner

Document Summary

Decomposition: breaking a high level goal into small steps to reach the goal, ex. Abstraction: looking at the big picture and ignoring certain aspects. Looking at the big picture and ignoring certain aspects. Pattern recognition: **similar pieces of code that can be used to solve problem sum = 0 while sum < 10 colon is important sum = sum + 1 print(sum) Why python: sum = 0 while sum < 10: print(sum) sum = sum + 1. Coding = representations + operations on that representation. Building blocks functional abstraction, iteration, conditional execution. Relation to cog sci: cognition = representation + operations replace coding with cognition, formula for cognition. Don"t need to mimic a human brain for ai brain. Write script and create programs to automate tedious work and save hours. E-mail program and code trace (simulation of execution of program) may get hint free suplementary textbook culearn practice concepts to study.