Thesis and Research Topics in Computer Science Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world. As computer science is one of the most vast fields opted by research scholars so finding a new thesis topic in computer science becomes more difficult Students searching for a cloud computing master’s degree may want to consider the online Master of Computer Science in Data Science from the University of Illinois Urbana-Champaign. For breadth of study, this program requires one course in each of these four disciplines: cloud computing, data visualization, data mining, and machine learning To finish the computer science master’s program from Purdue, students must take 10 three-credit courses (non-thesis option) or eight courses and write a thesis (thesis option). Elective topics include: bioinformatics; data mining distributed systems; numerical computing. University of Maryland Master of Science in Computer Science
Top 50 Master's in Computer Science Degree Programs (Updated) - Computer Science Degree Hub
Home » Education » Latest Topics in Computer Science for Project and Thesis. Completing a masters Thesis in computer science is the most challenging task faced by research scholars studying in universities all across the world.
As computer science is one of the most vast fields opted by research scholars so finding a new master thesis distributed computing topic in computer science becomes more difficult. With each passing day, new and innovative developments are coming out in this era of mechanization.
These developments tend to make human life much easier and better, master thesis distributed computing. Technology is the forerunner of this new change. Today our life is incomplete without this technology. Cell phones, laptops and all that have become an integral part of our life. Computer Science is the seed to this technical development.
There are a number of good topics in computer science for project, thesis, and research for Master thesis distributed computing. Tech and Ph. In the field of academics, we need to get rid of obsolete ideas and focus on new innovative topics which are fast spreading their arms among the vast global audience. Computer Science students both in bachelors and in masters are studying the same topics and subjects from the past few years.
For project and thesis work also they are relying on outdated topics. Projects like school management system, library management system etc. are now out of date. Students should shift their focus to latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics in Computer Science that you can choose and work for your project work or thesis and research:. Data Warehousing is the process of analyzing data for business purposes.
Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. The data in the warehouse is historical data which is helpful in understanding business goals and make decisions for future prospects. It is a relatively new concept and have high growth in future. Data Warehouse provides Online Analytical Processing OLAP tools for the systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:.
Internet of Things IoT is a concept of interconnection of various devices, a vehicle to the internet. IOT make use of actuators and sensors for transferring data to master thesis distributed computing from the devices. This technology is developed for better efficiency and accuracy apart from minimizing human interaction with the devices.
The example for this is home heating in some countries when the temperature drops done through motion sensors which automatically detect the weather conditions. Another example for this is the traffic lights which changes its colors depending upon the traffic.
Following are the application areas of Internet of Things IoT :. Many people are not aware of this concept so you can choose for your project work and learn something new. Big Data is a term to denote the large volume of data which is complex to handle. The data may be structured or unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for the intuition that can give way to better decisions and schematic business moves. The definition of big data is termed in terms of three Vs.
These vs are:. Cloud Computing is a comparatively new technology. It is an internet-based service that creates a shared pool of resources for consumers, master thesis distributed computing. There are three service models of cloud computing namely:.
The common examples of cloud computing include icloud from Apple, master thesis distributed computing, Google-based Services like Google Drive and many more. The field is very demanding and is growing day by day. You can focus on it if you have interest in innovation.
Semantic Web master thesis distributed computing also referred to as Web 3. It is standardized by World Wide Web Consortium W3C to promote common data formats and exchange protocols over the web.
It master thesis distributed computing machine-readable information based and is built on XML technology. It is an extension to Web 2. In the semantic web, the information is well defined to enable better cooperation between the computers and the people. In the semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies. MANET stands for mobile ad hoc network.
It is an infrastructure-less network with mobile devices connected wirelessly and is self-configuring. It can change locations independently and can link to other devices through a wireless connection.
Following are the various types of MANETS :. You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2NETSIM, NS3 etc. In MANET there is no need of central hub to receive and send messages. Instead, the nodes directly send packets to each other. It is also a relatively new concept in the field of computer science and is master thesis distributed computing technique of guiding computers to act in a certain way without programming.
It makes use of certain complex algorithms to receive an input and predict an output for the same. There are three types of learning. Machine Learning is closely related to statistics, master thesis distributed computing. If you are good at statistics then you should opt this topic.
Data Mining is the process of identifying and establishing a relationship between large datasets for finding a solution to a problem through analysis of data, master thesis distributed computing. There are various tools and techniques in Data Mining which gives enterprises and organizations the ability to predict futuristic trends. Data Mining finds its application in various areas of research, statistics, genetics, and marketing. Following are the main techniques used in the process of Data Mining:.
Artificial Intelligence is the intelligence shown by machines and it deals with the study and creation of intelligent systems that can think and act like human beings. In Artificial Intelligencemaster thesis distributed computing, intelligent agents are studied that can perceive its environment and take actions according to its surrounding environment. Strong AI — It is a type of artificial intelligence system with human thinking capabilities and can find a solution to an unfamiliar task.
Weak AI — It is a type of artificial intelligence system specifically designed for a particular task. Turing Test is used to check whether a system is intelligent or not. Machine Learning is a part of Artificial Intelligence. Following are the types of agents in Artificial Intelligence systems:, master thesis distributed computing. Natural Language Processing — It is a method to communicate with the intelligent systems using human language.
It is required to make intelligent systems work according to your instructions. There are two processes under Natural Language Processing master thesis distributed computing Natural Language Understanding, Natural Language Generation. Natural Language Understanding involves creating useful representations from the natural language.
Natural Language Generation involves steps like Lexical Analysis, Syntactic Analysis, Semantic Analysis, Integration and Pragmatic Analysis to generate meaningful information. Image Processing is another field in Computer Science and a popular topic for a thesis in Computer Science, master thesis distributed computing. There are two types of image processing — Analog and Digital Image Processing. Digital Image Processing is the process of performing operations on digital images using computer-based algorithms to alter its features for enhancement or for other effects.
Through Image Processing, essential information can be extracted from digital images. It is an important area of research in computer science. The techniques involved in image processing include transformation, classification, pattern recognition, filtering, image restoration and various other processes and techniques, master thesis distributed computing. Following are the main purposes of image processing :. Bioinformatics is a field that uses various computational methods and software tools to analyze the biological data.
In simple words, bioinformatics is the field that uses computer programming for biological studies. It is the current topic of research in computer science and is also a good topic of choice for the thesis. This field is a combination of computer science, biology, statistics, and mathematics. It uses image and signal processing techniques to extract useful information from a large amount of data. Following are the main applications master thesis distributed computing bioinformatics:.
Quantum Computing is a computing technique in which computers known as quantum computers use the laws of quantum mechanics for processing information. Quantum Computers are different from digital electronic computers in the sense that these computers use quantum bits known as qubits for processing.
Master thesis distributed computing lot of experiments are being conducted to build a powerful quantum computer. Once developed, these computers will be able to solve complex computational problems which cannot be solved by classical computers. Quantum is the current and the latest topic for research and thesis in computer science. Quantum Computing finds its application in the following areas:. The list is incomplete as there are a number of topics to choose from.
But these are the trending fields these days.
Master Thesis - Distributed Systems - OwnCloud DEMO - June 2016
, time: 3:42List of Latest Thesis Topics in Computer Science for Masters and PHD
Master’s students may choose between the thesis and the non-thesis options. The total credit hours required for either option are Up to 9 credits earned from another accredited institution may be transferred and must be applied during the first term of enrollment Master of Science (blogger.com) Computer Science (Non-Thesis) (45 credits) (Sci): State-of-the-art language-based techniques for enforcing security policies in distributed computing environments. Static techniques (such as type- and proof-checking technology), verification of security policies and applications such as proof-carrying code Cloud computing means in a broad sense highly distributed and scalable computation and data storage in data centers as well as physically accessible blogger.comation security means protection of computation, communication and data from unauthorized access.. SECCLO responds to the demand for professional engineers who are able to innovate and build the next generation cloud and mobile
No comments:
Post a Comment