Computer Science Project Topics and Materials in PDFIn just 150 years, we went from riding horses to the advanced and complex society of today. So far, technological advancements have changed our lives for better in many ways. Computer science has improved to the extent that you are able to read this article and scroll up Facebook feed at the same time, using one of the systems of voice assistants. From Artificial Intelligence to 5G becoming a reality, computer science provides us with a lot of opportunities.
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Nuclear Arms Proliferation And Global Security
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Design And Implementation Of Online Cash Receipt Generating System For A Supermarket – Pdf
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Design And Implementation Of Computerized Directory Of Business Premises In Enugu Urban
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Design And Implementation Of An Automated Ambulance Dispatch System
chapter one introduction the emergency ambulance dispatch system or computer aided dispatch …
Design And Implementation Of Window Access Control System
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abstract there is always the need to introduce more changes or modification
Design And Implementation Of A Computerized Online Monetary Transaction System
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Design And Implementation Of Computerized Civil Service Performance Evaluation System
abstract this project work is aimed at revealing this benefits of computerization
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abstract a computer is a processor of information. said in another way,
Design And Implementation Of A Software-Based Luggage Billing System For An Airline
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Design And Implementation Of Computerized Land Information System
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Design And Implementation Of Database Management Model For Internal Revenue Generation
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Broad Computer Science Project Topics
Project Topic #1: Internet of Things (IoT)
Why should you study that topic? The thing is that manufacturers that grow 10% a year or more are early adopters of IoT technology like machinery sensors. By choosing such a computer science topic, you need to mention the main benefits of the implementation of the IoT. First of all, digitals controls allow you to set specs all along the production line, connected sensors monitor specific functions, ensuring the precision and quality of everything you produce, from components to finish products.
So, when a customer needs change, you can change specs and quickly send signals to every connected machine. It is fast, efficient, and precise. Internet of Things is creating an ability to not only collect more data but integrate it and manage the analytics. Is not it a great topic to reveal?
Project Topic #2: 3D Printing in Computer Science
Here you should highlight that industrial 3D printing is changing the way companies develop devices. The mechanical engineers’ eternal problem, for example, is waiting for parts. With the development of computer science and 3D printing accordingly, the whole cycle of “design and wait” comes down to just a day. This technology creates essential equipment components quickly while recycling materials, reducing product waste, and cutting wait time on replacement parts.
Project Topic #3: Augmented Reality (AR)
This topic is for those who are interested not only in computer science but also in manufacturing. Why so? The thing is that AR can assist in prototyping, simulation, and QA resulting in reduced time and cost during manufacturing development. While presenting this topic to your professor, mention the top three or four reasons why augmented reality will optimize a lot of operations.
You should highlight that such computer technology increases manufacturing throughput. With AR, you can provide clear assembly instructions and remote guidance to boost productivity and reduce the number of avoidable errors. The second reason is accelerating training. As many computer experts approach retirement, AR technology can capture and transfer their knowledge to the next generation. It can also accelerate the learning curve to new heights through real-time interactive 3D digital training.
AR reduces cost and provides unprecedented clarity into processes and integrated IoT data, enabling quick reactions to problems. It allows you to address issues before they occur. Last but not the least reason for using such a computer science technology for business is the improvement of operator efficiency and safety.
Project Topic #4: Blockchain
Yes, we know that this topic may seem a little bit old-fashioned, but there are a lot of aspects that you can present in your computer science project and get A+.
Let’s imagine you decided to purchase a new computer and you are concerned about the working conditions in the factory where the product was assembled (or you have a concern about the quality of a specific component inside the computer). There is no easy way to check all of these details. Well, the complex network of relationships that produce the components, provide the materials, assemble the parts and deliver the product to market is known as the supply chain. And that is what we are talking about.
Thousands of suppliers all over the world contribute to make and ship the product you have just purchased. And as a consumer, you likely do not know anything about “how, where, when or under what conditions” your product was made.
In the recent future, the supply chain will be more transparent and management-simpler. In this computer science project topic, you can point out the creation of a single source of information about products via global ledger. Each component would have its own entry on the blockchain that gets tracked over time. All of the companies could then update the status of a component in real-time. The end result is that you can trace the supply chain all the way back to the mines where the raw materials came from.
Companies, in turn, use the blockchain as a single source of truth for their products, as a way to manage and monitor risks within the supply chain, ensure the quality of the delivered parts, and track delivery status. Is not it a great area for research and one of the most interesting project topics for computer science?
Project Topic #5: Robotics and Automatization
Automation is a multiplier. It adds capacity, enables multi-tasking, improves quality, and increases global competitiveness. It frees people to focus on work requiring human input, which raises employer value. The industrial robotics market is expected to grow 9.6% annually, sparking automation that will drive output and revenue growth. That’s why we offer you to consider this topic for your computer science project. The future of Artificial Intelligence is now!
These days rather than hiring a dedicated monitor to make sure everything is up to code and algorithm at every facility, a new era of computer science is making everything smarter. A key to creating the next generation of smart technologies is the development of easily scalable network machines that can provide information about every step of the production process.
But beyond networking and transparency, new robots that have the potential to redefine where industrial automation can happen are being created. In the computer science project, you can mention that one of these robots is named Baxter (as an example). It has a base cost of under $25,000 and can be programmed through a touchscreen interface without complex codes. Add to the fact that Baxter is armed with sensors to detect people, you have a robot that does not need to be caged.
While Baxter is doing his part to bring automation to smaller industries, even larger and more expensive industrial robots are seeing major upgrades. The new generation of the large bot is being targeted to provide better speed and user-friendly interfaces. Because of these computer science developments, in the near future, product design teams will be able to access real-time information from a series of connected machines and robots that are worlds away. These highly automated connected factories will give tomorrow’s scientists a greater grasp of their product design cycle and the data to track production and delivery.
Project Topic #6: The Future of Artificial Intelligence
This is one of the most discussed computer science topics of today (just look and the number of TED talks about Artificial Intelligence). AI and machine learning are not just for crunching data, they are for interacting with us. Right now, our interactions with AI is with a voice, not a face. We are talking about Google’s Assistant and Amazon’s Alexa. All of these systems currently live in your smart speakers or your car. However, just recently, Amazon announced that it had figured out how to reduce the hardware requirements to make a voice assistant device fit in much smaller devices. It is one of the reasons why you should consider this topic for your computer science project (the relevance of the issue is clear).
For example, you can mention in the project that instead of needing a hundred Meg’s of RAM and ARM Cortex A-class processor, Alexa will be able to run off of just one megabyte of RAM. What that means is that we should expect to see voice assistants in everything – a lamp, a light switch, a power port. Moreover, they will be smarter listeners as well, hearing stuff like dripping water, footsteps, and other auditory cues that can help them decide what is going on around and enable them to act.