EdX

Assembler Language (edX)

Offered by DoaneX, Doane University,
Assembler Language (edX)

This course enables the learner to implement modern, high-level programming language concepts in assembly language by learning and applying the foundational essentials of digital logic, computer organization, and low-level programming logic necessary to do so.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Computing involves processing information. In order to be processed, information must be represented in such a way that it can be manipulated by a machine ubiquitous in today’s society - the computer.
**** The computer is a physical device that is based on binary digital logic. From this logic, physical components (hardware) such as memory and processors are designed. These components must fetch, execute and respond to given instructions (software).
This course provides a foundation in the organization and operation of a digital electronic computer starting with the binary digital logic used to represent information and build hardware components. Then, upon this foundation will be built the skills necessary to solve programs through assembly language programs. High-level language algorithms will provide the blueprints for the assembly language solutions.
Specifically, in successfully completing this course you will be able to:

  • Describe how computers represent information and apply this knowledge in solving problems with solutions written in assembly language.
  • Describe the basic organization of a computer system in terms of binary digital hardware components and apply this knowledge in solving problems with solutions written in assembly language.
  • Describe how instructions are fetched and executed using the digital components and apply this knowledge in solving problems with solutions written in assembly language.
  • Design and create assembly language programs that are solutions to problems expressed with algorithms that include high-level language concepts such as variables, data types, repetition, selection, and objects.

What you'll learn

  • Foundations of computer organization

Information representation
Von Neumann architecture
Storage hierarchy

  • Data types and variables in assembly language
  • Repetition in assembly language

Pre-test repetition
Post-test repetition

  • Selection in assembly language

Single selection
Multi-way selection

  • Nesting in assembly language

Nesting selection or repetition
Nesting selection and repetition

  • Objects in assembly language

Properties
Methods

  • Data structures in assembly language

Arrays
Lists

  • Files in assembly language

Sequential access
Random access

  • IBM tools

VSAM Demystified
DB2 Overview
CICS Overview

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

How to Code: Complex Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Complex Data (edX)

Learn how to design more complex programs, using new data structures, abstraction, and generative recursion. As your program requirements get more complex, you will find that simple additions to the design method make it easy to write well-structured and well-tested code that is easy to maintain. By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested.

Self Paced
Self-Paced
How to Code: Simple Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Simple Data (edX)

Learn systematic program design - how to write programs that tell a clear story about what they do, are well-tested, and easy to improve. This programming course takes a unique approach, as it focuses on learning a systematic programming method rather than a programming language. This practical approach will help you channel your creativity so that you can program well in any language.

Self Paced
Self-Paced
Programming for Data Science (edX) EdX
University of Adelaide,AdelaideX

Programming for Data Science (edX)

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems. There is a rising demand for people with the skills to work with Big Data sets and this course can start you on your journey through our Big Data MicroMasters program towards a recognised credential in this highly competitive area. Using practical activities you will learn how digital technologies work and will develop your coding skills through engaging and collaborative assignments.

Self Paced
Self-Paced
AI Chatbots without Programming (edX) EdX
IBM

AI Chatbots without Programming (edX)

Chatbots are increasingly in demand among global businesses. This course will teach you how to build, analyze, deploy and monetize chatbots - with the help of IBM Watson and the power of AI. Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Self Paced
Self-Paced
Introducción a la programación en C: Instrucciones de control y ficheros de texto (edX) EdX
Universidad Autonoma de Madrid

Introducción a la programación en C: Instrucciones de control y ficheros de texto (edX)

En este curso aprenderás sobre condicionales, bucles y ficheros de texto en el lenguaje de programación C, uno de los más utilizados. Este curso en línea te permitirá continuar aprendiendo sobre conceptos para desarrollar habilidades de programación en el lenguaje C. Ahora los programas comienzan a cobrar vida y a volverse más interesantes.

Self Paced
Self-Paced
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Introducción a la programación en C: Funciones y punteros (edX) EdX
Universidad Autonoma de Madrid

Introducción a la programación en C: Funciones y punteros (edX)

En este curso aprenderás cómo hacer programas modulares a través de funciones y punteros en el lenguaje de programación C, uno de los más utilizados. Este curso en línea te permitirá aprender más conceptos para ampliar tus habilidades de programación en el lenguaje C. Ahora resolveremos los problemas de forma modular, dividiendo el código en pequeñas partes definidas como funciones.

Self Paced
Self-Paced