There are plenty of opportunities for you to learn programming on Online with computer programming courses. If you want to learn computer programming through online courses,then you should know that you can learn for free.So feel free to use all these resources at most. HTML programming language is used to create webpages and this is relatively very easy to learn. The content is strictly copyrighted to Hr Reddy and may not be reproduced without permission. Here is the list of 45 free online computer science courses that are designed by teaching experts from best universities of the world (almost the whole graduation!). This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java. Advanced memory management features of C and C++; the differences between imperative and object-oriented paradigms.
The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems.
This course is designed to introduce students to the fundamental concepts and ideas in natural language processing (NLP), and to get them up to speed with current research in the area. You can study anytime anywhere because there are number of free online computer science courses offered by distance learning universities available on internet that are very interactive. This course provides a broad introduction to machine learning and statistical pattern recognition.
The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Concentrates on recognizing and solving convex optimization problems that arise in engineering.
This course explores the ultimate limits to communication and computation, with an emphasis on the physical nature of information and information processing.
This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry.
This course provides a challenging introduction to some of the central ideas of theoretical computer science. This course is designed for undergraduate and graduate students in science, social science and engineering programs who need to learn fundamental programming skills quickly but not in great depth.
This course teaches the art of guessing results and solving problems without doing a proof or an exact calculation.
This course will provide a gentle introduction to programming using Python™ for highly motivated students with little or no prior experience in programming computers. 6.270 is a hands-on, learn-by-doing class, in which participants design and build a robot that will play in a competition at the end of January.
NextLab is a hands-on year-long design course in which students research, develop and deploy mobile technologies for the next billion mobile users in developing countries.
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. Genomes: Biological Sequence Analysis, Hidden Markov Models, Gene Finding, RNA Folding, Sequence Alignment, Genome Assembly. Networks: Gene Expression Analysis, Regulatory Motifs, Graph Algorithms, Scale-free Networks, Network Motifs, Network Evolution. Evolution: Comparative Genomics, Phylogenetics, Genome Duplication, Genome Rearrangements, Evolutionary Theory, Rapid Evolution. This course is offered to undergraduates and is an elementary discrete mathematics course oriented towards applications in computer science and engineering. This unit will introduce you to some ideas about how information and communiction technologies (ICTs) systems work. From Issac Asimov's I Robot to George Lucas' R2D2, robots have been part of our popular culture for the last century. Course for students in Computer Information Systems or in Computer and Information Technologies programs. In this OpenUW course, we cover the basic structure of an HTML document, what HTML tags look like, the fundamental document structure, and basic tags found in nearly all HTML documents. This course extends the student's basic procedural design and programming knowledge into the object oriented paradigm. An introduction to the main techniques of Artifical Intelligence: state-space search methods, semantic networks, theorem-proving and production rule systems.
Information theory explores the fundamental limits of the representation and transmission of information. Communication networks are used to transfer valuable and confidential information for a variety of purposes.
Discrete mathematics, also called finite mathematics or decision mathematics, is the study of mathematical structures that are fundamentally discrete in the sense of not supporting or requiring the notion of continuity. Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables.
This course is offered to undergraduates and introduces basic mathematical models of computation and the finite representation of infinite objects.
This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. If you wan to get a+ certification then try out our microsoft dumps to get quick success in real exam. They think they can do this in a respectable neighborhood, endangering everyone around them.


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You will learn to draw shapes, logo, banners, PSD files for web pages, raster images modification, image & photo editing, retouching, healing etc. Where Photoshop is more efficient than Adobe Ai (illustrator) : Image Photo editing, retouching healing, video editing frame by frame. OCT Group Kolkata also conducts various video editing courses on Adobe premiere pro video editing software, Adobe After Effects. In Kolkata & surrounding area we also provide home tutor where our teachers will goto your home to teach you Graphic designing packages like Adobe Photoshop, Adobe Ai, CorelDraw personally.
Private coaching provided on Graphics Designing Packages like Adobe Illustrator, CorelDraw, CorelPaint.
Several great resources of MLM Training, and other valuable resources to help you grow your business. In Computer Science Courses Classes, the core curriculum includes mathematics, computer history and technology, and a wide range of programming languages. When you study the history of the computer, you will learn about such interesting devices as the earliest, steam driven computer and the woman who designed the first computer language.
Of course, main areas of computer programming studies include learning some of the many programming languages, the actual codes that allow the user to interact with the machine. With high competition for places, whether at home or in a study abroad program – you are unlikely to be offered a place on a course without some proven interest or ability in the computing field. Like Masters in Management, postgraduate programs on computer science issues are offered as fulltime and part-time programs. Almost every program requires exams to wrap it up though the testing can be dispersed over the course of the program. Before jump into the details you should know C programming is the basic for programming world. There are concepts like abstraction,encapsulation, inheritance included in java to make it work better than existing languages.
If you've taken the Computer Science AP exam and done well (scored 4 or 5) or earned a good grade in a college course, Programming Abstractions may be an appropriate course for you to start with, but often Programming Abstractions (Accelerated) is a better choice. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. Together with a great variety, the subject also has a great coherence, and the hope is students come to appreciate both. It aims to provide students with an understanding of the role computation can play in solving problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.
Topics include: information and computation, digital signals, codes and compression, applications such as biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, and quantum computation.
Applications are drawn from the physical and biological sciences, mathematics, and engineering. It attempts to present a vision of "computer science beyond computers": that is, CS as a set of mathematical tools for understanding complex systems such as universes and minds.
It is designed for those who have little or no programming experience in Java and covers concepts useful to 6.005. Techniques include extreme-cases reasoning, dimensional analysis, successive approximation, discretization, generalization, and pictorial analysis. It offers a series of lectures on parallel programming concepts as well as a group project providing hands-on experience with parallel programming.
The course will focus on planning and organizing programs, as well as the grammar of the Python programming language. The goal for the students is to design a machine that will be able to navigate its way around the playing surface, recognize other opponents, and manipulate game objects. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modelling, hidden surface algorithms, lighting models, shading, and animation. Guided by real-world needs as observed by local partners, students work in multidisciplinary teams on term-long projects, closely collaborating with NGOs and communities at the local level, field practitioners, and experts in relevant fields. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques.
Topics covered include: formal logic notation, induction, sets and relations, permutations and combinations, counting principles, and discrete probability. In this introductory programming course, we use Lego Mindstorm robots to illustrate the fundamental concepts in computer programming and problem solving.
This course will instruct students in system administration topics, including computer hardware selection, user account management, file system optimization, and security.
This course will help you learn how to use Internet, word processing software, spreadsheet software, presentation software and communications applications. The student will be expected to learn and apply the basic concepts of object oriented design and programming, i.e. We will focus on the definition and implications of (information) entropy, the source coding theorem, and the channel coding theorem. Objects studied in finite mathematics are largely countable sets such as integers, finite graphs, and formal languages. I was wondering if you knew of any that were just as prestigious as some of the ones on this list. Our Franchise services ensure to give you prospering profits without much effort and investment and infrastructure.


If you want to be a Vector artist then you should learn it and its a must, though there are many other vector drawing softwares in the software market but Adobe Ai is the guru. Your computer programming career will make you part of an exciting world in which computers have gone from huge, room filling contraptions to devices the size of a dime. Each one has a personality and a purpose, and each one represents a computer programming career choice. To see whether the program also demands a thesis (some universities offer a non-thesis degree), it is best to check with the university in consideration. Get good grip on the basic concepts like loops, conditional statements, then everything follows.
Programming Abstractions assumes that you already have familiarity with good programming style and software engineering issues (at the level of Programming Methodology), and that you can use this understanding as a foundation on which to tackle new topics in programming and data abstraction. Wordlevel, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered.
It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. The concept of entropy applied to channel capacity and to the second law of thermodynamics. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion.
Beginning in antiquity—with Euclid's algorithm and other ancient examples of computational thinking—the course will progress rapidly through propositional logic, Turing machines and computability, finite automata, Godel's theorems, efficient algorithms and reducibility, NP-completeness, the P versus NP problem, decision trees and other concrete computational models, the power of randomness, cryptography and one-way functions, computational theories of learning, interactive proofs, and quantum computing and the physical limits of computation.
The course consists of interactive lectures with a computer running MATLAB for each student. Applications include mental calculation, solid geometry, musical intervals, logarithms, integration, infinite series, solitaire, and differential equations.
The students will have the unique opportunity to use the cutting-edge PLAYSTATION 3 development platform as they learn how to design and implement exciting applications for multicore architectures. Lectures will be interactive featuring in-class exercises with lots of support from the course staff. Students get a chance to explore Robotics and Computing Science in a fun and stimulating way. You will also learn how to integrate MS Office 2007 applications, including linking and embedding files. Students are expected to write programs exemplifying some of techniques taught, using the LISP lanuage.
These concepts provide a vital background for researchers in the areas of data compression, signal processing, controls, and pattern recognition. Concepts and notations from discrete mathematics are useful to study or describe objects or problems in computer algorithms and programming languages. Topics covered include: finite automata and regular languages, context-free languages, Turing machines, partial recursive functions, Church's Thesis, undesirability, reducibility and completeness, time complexity and NP-completeness, probabilistic computation, and interactive proof systems. I have been making research on the internet for a very long time and now come up with something useful. Normally our teachers teach at our location, but in many cases we send our home tutors to students’ home.
Computer programmers write, test, and maintain the instructions (programs) that tell computers how to do what they do.
Part-time programs are offered on weekend courses or in modular tracks and usually take about double the time as the regular program the university or school offers.
The above mentioned site is having all the concepts related to c language.If you dive into the site, you can see on the left hand side you will have lot of fun stuff to learn c and c++ language.
If you don't know what is class is,A class is a collection of attributes and methods of a real time entity.
Core Java deals with basic java concepts and Advanced java is used to create web based programming like web services. The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world. Students will learn the fundamentals of Java, and how to use 3rd party libraries to get more done with less work. Students will be required to install, configure, and test the services in a server environment. Editing and formatting these documents helps a business to create more professional looking documents. Key software engineering principles such as decomposition and component re-use shall also be emphasized. Topics include control structures, arrays, functions, classes, objects, file handling, and simple algorithms for common tasks. Applications to signal processing, control, digital and analog circuit design, computational geometry, statistics, and mechanical engineering.
Selected applications in areas such as control, circuit design, signal processing, and communications.




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