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