MSE1

This repository contains resources for the Mathematics for Software Engineering course at VIA University College, Horsens, Denmark.

The course consists of 12 scheduled lectures, each with a duration of 2 lessons (90 minutes in total), as well as 12 scheduled recitations, each with a duration of 4 lessons (180 minutes). The students learn new theory in the lectures and use this to solve problems and exercises in the recitations. No new theory is taught at recitations.

Lesson Plan

Click on a session below to access a plan of a specific session and additional resources for that session. The plan includes material for both the lectures and recitations.

Session	Week	Topic
01	36	Introduction: Basic Arithmetic and Functions
02	37	Fundamental Concepts in Number Theory
03	38	Numeral Systems
04	39	Boolean Algebra
05	40	Introduction to Combinatorics and Probability Theory
06	41	Conditional Probability and Bayes Theorem
07	43	Linear Equations in Linear Algebra
08	44	Vectors and Matrices
09	45	Matrix Algebra, Determinants, and Eigenvalues
10	46	Asymptotic analysis and Big O notation
11	47	Functions and Loops in Programming
12	48	Exam Preparation and Q/A

Literature & Resources

All literature will be made available to the student.

Software

Before session 07, make sure you install a working version of Jupyter Notebook and Python version 3.7 or higher. The easiest way to install Python and Jupyter is using Anaconda Distribution. You can choose whichever framework you want to work in as long as it can handle Jupyter Notebooks. Installing VS Code with a Jupyter Notebook extension seems to be a popular choice.