Latest Topics in Computer Science for Project and Thesis

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. 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.
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 For project and thesis work also they are relying on outdated topics.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 are now out of date.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 on latest technologies which are highly in demand these days and future depend upon these. Here is the list of latest topics that you can choose and work for your project work or thesis:
Data Warehousing is the process of analyzing of data for business purposes. Data warehouse store integrated data from multiple sources at a single place which can later be retrieved for making reports. Data warehouse in simple terms is a type of database different and kept isolated from organization’s run-time database. 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 systematic and effective study of data in a multidimensional view. Data Warehouse finds its application in the following areas:
- Financial Sector
- Banking Sector
- Retail Services
- Consumer goods
- Manufacturing
So start working on it if you have knowledge of database and data modeling.
Internet of Things(IOT)
Internet of Things(IOT) is a concept of interconnection of various devices, vehicle to the Internet. IOT make use of actuators and sensors for transferring data to and 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. Other 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):
- Home Automation
- Health-care
- Agriculture
- Transportation
- Manufacturing
- Environment
Many people are not aware of this concept so you can choose for your project work and learn something new.
Big Data
Big Data is term to denote large volume of data which is complex to handle. The data may be structured ore unstructured. Structured data is an organized data while unstructured data is an unorganized data. Big data can be examined for 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:
- Volume: Volume defines large volume of data from different sources
- Velocity: It refers to the speed with which the data is generated
- Variety: It refers to varied amount of data both structured and unstructured.
Application areas:
- Government
- Healthcare
- Education
- Finance
- Manufacturing
- Media
- Sports
Thus you can prepare your project report or thesis report on this.
Cloud Computing
Cloud Computing is a comparatively new technology. It is an Internet-based service that creates shared pool of resources for consumers. There are three service models of cloud computing namely:
- Software as a Service(SaaS)
- Platform as a Service(PaaS)
- Infrastructure as a Service(IaaS)
Characteristics of cloud computing are:
- On demand self-service
- Broad network access
- Shared pool of resources
- Scalability
- Measured service
The common examples of cloud computing include icloud from Apple, 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
Semantic Web is also referred to as Web 3.0 and is the next big thing in the field of communication. It is standardized by World Wide Web Consortium(W3C) to promote common data formats and exchange protocols over the web. It is machine-readable information based and is built on XML technology. It is an extension to Web 2.0. In semantic web, the information is well defined to enable better cooperation between the computers and the people. In semantic web, the data is interlinked for better understanding. It is different from traditional data sharing technologies.
It can be a good topic for your thesis or project.
MANET
MANET stands for mobile ad hoc network. It is an infrastructure-less network with mobile devices connected wireless 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:
- Vehicular ad hoc network(VANET)
- Smart-phone ad hoc network(SPANET)
- Internet-based mobile ad hoc network(iMANET)
You can use various simulation tools to study the functionality and working of MANET like OPNET, NS2, NETSIM, 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.
MANET finds its applications in the following areas:
- Environment sensors
- Health-care
- Vehicular ad hoc communication
- Road Safety
- Home
Just go for it if you have interest in the field of networking and make a project on it.
Machine Learning
It is also a relatively new concept in the field of computer science and is a 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;
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Machine Learning is closely related to statistics. If you are good at statistics then you should opt this topic.
The list is incomplete as there are number of topics to choose from. But these are the trending fields these days. Whether you have any presentation, thesis project or a seminar you can choose any topic from these and prepare a good report.
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Originally published at www.techsparks.co.in on August 23, 2017.