“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics.
Este curso forma parte de Programa especializado: Introduction to Computer Science and Programming
24.028 ya inscrito
ofrecido por
Universidad de Londres
Goldsmiths, University of London
Programa especializado: Introduction to Computer Science and ProgrammingUniversidad de LondresAcerca de este Curso
42.684 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 38 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
1. Transform numbers between number bases and perform arithmetic in number bases
2. Identify, describe and compute sequences of numbers and their sums.
3. Represent and describe space numerically using coordinates and graphs.
4. Study, represent and describe variations of quantities via functions and their graphs.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 38 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad de Londres
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
Goldsmiths, University of London
Championing research-rich degrees that provoke thought, stretch the imagination and tap into tomorrow’s world, at Goldsmiths we’re asking the questions that matter now in subjects as diverse as the arts and humanities, social sciences, cultural studies, computing, and entrepreneurial business and management. We are a community defined by its people: innovative in spirit, analytical in approach and open to all.
Comienza a trabajar para obtener tu licenciatura.
Este curso está relacionado con Bachelor of Science in Computer Science 100 % en línea de Universidad de Londres. Te proporcionará una vista previa de los temas, materiales e instructores para que puedas decidir si el programa de título de grado totalmente en línea es adecuado para ti.
Programa - Qué aprenderás en este curso
7 horas para completar
Number bases - binary
In this week, we will cover the key concepts: Place value and Number systems. You will learn about the notion of number bases, how to do operate in binary.
7 horas para completar
13 videos (Total 137 minutos), 4 lecturas, 9 cuestionarios
8 horas para completar
Number bases - other bases
In this week, we will extend the place value and number systems to Octal, Hexadecimal and any other bases. You will also be introduced to the usefulness of hexadecimal in computer science.
8 horas para completar
7 videos (Total 78 minutos), 2 lecturas, 7 cuestionarios
8 horas para completar
Modular arithmetic
In this week, we will cover the key concept of congruence modulo an integer. You will also be introduced to the usefulness of congruence and modular arithmetic operations in computer science.
8 horas para completar
9 videos (Total 106 minutos), 2 lecturas, 9 cuestionarios
4 horas para completar
Sequences
In this week, we will cover the key concept of number sequences. You will look into more detail at a special family of sequences, called progressions, and study arithmetic and geometric progressions.
4 horas para completar
7 videos (Total 65 minutos), 3 lecturas, 5 cuestionarios
Reseñas
- 5 stars57,77 %
- 4 stars18,88 %
- 3 stars11,11 %
- 2 stars5 %
- 1 star7,22 %
Principales reseñas sobre MATHEMATICS FOR COMPUTER SCIENCE
por GS12 de mar. de 2021
Excellent content and the way it was taught made it simple.
por AS23 de mar. de 2020
It was challenging and at some parts a little bit ambiguous but I think the material was good and the teacher's passionate and funny personality made it an enjoyable experience.
por RC16 de ago. de 2021
Best course. and it gives lots of questions to solve and to practice.
por RI27 de jun. de 2020
Very good course. I am left feeling like I want more. The professor was excellent. The material was well presented.
Acerca de Programa especializado: Introduction to Computer Science and Programming
This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem solving and modelling stages of computer science.
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