Distance learning Course in Computer Science

Find Distance learning Course Studies in Computer Science 2017

Computer Science

A course is the study of a particular topic within a wider subject area and is the foundation of a qualification. A typical course includes lectures, assessments and tutorials.

Computer Science is an extremely important field as it holds relevancy in the majority of aspects in our society. The field encompasses the theories of computation and their application and the design of computing systems.

While distance learning courses have due dates that must be met, there is a fabulous deal of compliance as to when you can carry out assignments when studying at a distance. With the online option, You could exit the discussion group as required to return to work and then join after work if needed. Distance learning courses can be taken in whatever place you have Internet access. You can even complete classes from the Internet lounge in any hotel around the world if you need a vacation.

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Coding for Kids

Tekkie Uni
Campus or Online Full time 9 months September 2017 USA Thousand Oaks

Join our live-coached team sessions and learn all essential skills and tools you need to get a head start on app making. [+]

Best Distance learning Course Studies in Computer Science 2017. Coding for Kids LEARN TO CODE AND CHANGE THE WORLD Join our live-coached team sessions and learn all essential skills and tools you need to get a head start on app making OUR CORE TEACHING PRINCIPLES TEACHER-LED CLASSES PROJECT BASED LEARNING TEAM WORK THIS SUMMER GET TEKKIE WITH US SUMMER CODING CAMPS 2017 "Our summer programs are a dose of awesome, team-oriented, live coached app-making training sessions, where you'll create apps, games and friendships." OUR PROGRAMS LEVEL 1 BUILD YOUR FIRST APP Junior Innovators Course Computational Thinking//Programming//Innovative Thinking Junior Tekkies acquire essential tools for gaming and app creation. Junior Innovators graduate their first year having designed, developed and launched their first apps and games. LEVEL 02 STEP APP YOUR GAME Sophomore Developer Course Public Speaking//Game Planning//Team Work In their second year, sophomore Tekkies further develop their programming skills and enrich their toolkit with animation, design, gaming and planning methodologies to create even better apps. LEVEL 03 START APP YOUR INNOVATION Senior Entrepreneurs course Database Work//Advanced Game Design//Animation During senior year, students will learn how to design for mobile devices, perfect the user experience and emulate real life startup teams in launching their new advanced apps. THE TEKKIE UNI WAY Tekkie Uni proudly successfully teaches kids to code apps in the leading coding companies in the world. HOW WE MAKE IT WORK There’s no limit to where your child can go, when they have Tekkie Uni’s finest and brightest coaches on their... [-]

Course in Machine Learning (Intermediate)

Coursera
Online Part time 8 months Open Enrollment USA USA Online

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. [+]

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. In the final Capstone Project, you’ll apply your skills to solve an original, real-world problem through implementation of machine learning algorithms. Courses Machine Learning Foundations: A Case Study Approach Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these... [-]

Graduate Diploma in Data Science and Innovation

University of Technology Sydney
Campus or Online Full time Part time 1 - 2 years January 2018 Australia Sydney + 1 more

The Graduate Certificate in Data Science and Innovation is an exit-only qualification for the Master of Data Science and Innovation (C04293), a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the master's course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. [+]

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

The course prepares students to participate in a variety of emerging careers with the growth of data science – data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.... [-]


Graduate Certificate in Data Science and Innovation

University of Technology Sydney
Campus or Online Full time Part time 0.5 - 1 year January 2018 Australia Sydney + 1 more

The Graduate Certificate in Data Science and Innovation is an exit-only qualification for the Master of Data Science and Innovation (C04293), a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the master's course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. [+]

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

The course prepares students to participate in a variety of emerging careers with the growth of data science – data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.... [-]


JAVA Fundamentals Online

Infopulse University Ukraine
Online Part time 60 hours September 2017 Ukraine Kiev

This is a general purpose, object-oriented and high-level programming language, prevalent in many sectors. Startups, banking and finance, aerospace, high-tech, medical and other diverse industries use Java to automate processes and enable new business. Students will learn a broad range of tools and frameworks, building a foundation on which to start a rewarding career. [+]

Best Distance learning Course Studies in Computer Science 2017. Course outline Introduction to Java Application areas. The Java platform. Features of Java. Java Virtual Machine. Java Development Kit. Java Runtime Environment. Compiling and running programs from the command line. Integrated Development Environment (IDE). Overview of popular development environments. Perspectives of using and development of the Java programming language Working with Eclipse IDE Download and installation Eclipse. Setting up a workspace. Configuring Java in Eclipse. Overview of Eclipse working environment. The concept of the project. Creation and running a simple Java application in Eclipse. Overview of program debugging. Diagnosing problems. The concept of unreachable code. Debugging programs in Eclipse. The basic syntax of Java Data types. Primitive data types. Reference data types. Converting numeric types. Type casting. Variables. Initializing variables. Constants. The modifier final. Operations. Arithmetic operations. Increment and decrement operations. Relational operations. Logic operations. Bitwise operations. Mathematical Functions (Class Math). Priority of operations. Control operators. If statement and its forms. Nested ifs. Switch operator. Blocks and local variables. Break operator. Ternary operator. Loops operators. The concept of loop condition and exit. While loop. Do-while loop. For loop. Nested loops. Continue operator. Return operator. Arrays. The concept of the array. Declaration, creating and initializing arrays. Changing size of array. Multidimensional arrays. Methods. The concept of the method. Method signature and method body. Method calling. Passing parameters to method. Return value. Overloading methods. Recursive methods. Methods with variable number of parameters. Working with strings. Class String and its methods. StringBuffer and StringBuilder... [-]