Distance learning Course in Computer Science

Search Distance learning Course Studies in Computer Science 2017

Computer Science

You can usually take higher education courses if you’re 18 or older. They’re regularly taught in universities, colleges and professional institutions such as art schools or agricultural colleges - nearly all of which have their own websites. You can get a wide range of skills, for example, diplomas, bachelor degrees, foundation degrees and post-graduate degrees.

The Master Degree in Computer Science program prepares students to work with computing problems and solutions. Graduates are highly sought after by employers and can work in a vast array of fields including technology, business and much more.

Distance learning is a method of delivering education to students who are not physically present on campus. Various studies have shown that distance learning programmes can be as efficient and effective as conventional classroom programmes sometimes even better!

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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. [+]

Best Distance learning Course Studies in Computer Science 2017. 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... [-]

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. [+]

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 classes. Converting numbers to Strings and back. Basics of... [-]