pruduence

labs merge sort selection / insertion sort Assignment 2 Put stuff into quizlet

David Jackson

register direct mode, register indirect mode

Go over every lecture

lecture 1 - done lecture done lecture done lecture done lecture 5 done lecture 6 done lecture 7 done lecture 8 done lecture 9 done lecture 10 done lecture 11 done lecture 12 done lecture 13 done lecture 14 done lecture 15 done lecture 16 done lecture 17 done lecture 18 - done lecture 19 done lecture 20 done lecture lecture lecture lecture - 28 -

Put questions and stuff into Quizlet

Paul

Tutorial 1 DONE Tutorial 2 Tutorial 3 Tutorial 4

numbers and polynomials

what was covered:

• different types of numbers (natural, whole, rational) DONE
• polynomials and their form and properties (degree, coefficients, roots) DONE

vectors

the notion of n-vectors as na ordered collection of numbers; basic vector operations (addition, so called scalar multiplcation), size.

• addition of vectors DONE
• scalar vectors DONE
• size of a vector (pythag therom) done
• collections of vectors (vector spaces)
• low level matrix operations
• 2x2 matrices
• 3x3 matrices
• matrix vector products
• linear transformations

calculus

• functions DONE
• properties of linear functions DONE
• first derivative of f(x) DONE
• limits
• the idea of a turning point
• local minimal and maximal behaviors
• extension to the concept of optimisation problem
• integral calculus
• anti-derivative
• area under a curve

Complex numbers

• different representations of complex numbers (basic form, co-ordinate (Argand), polar form, Euler (or Exponential) form)
• operations on complex numbers
  • addition
  • multiplcation
  • division
• complex conjugate and modulus (size) of a complex number

Statistics

• Difference between probability and statistics
• ideas of expected outcome
• _Distribution_
• confidence intervals
• methods for distinguishing “significane” of experimental outcomes

linear algebra and matrix theory

• n x n matrices
• matrix operation transpose
• product of an n x m matrix A with an m x k matrix B
• properties of matrix product
• notion of identity matrix
• notion of inverse matrix
• singular matrices
• determinant of a matrix
• how to calculate determinant and inverse
• intro to spectral analysis
• eigenvalues and eigen vectors