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

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

Tutorial 1 **DONE**
Tutorial 2
Tutorial 3
Tutorial 4

what was covered:

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

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

- 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

- 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

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

- 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