Free computer science project themes, subjects, essays and research materials are available for Portable document format and DOC download for final year college students and monograph students in the 2023 academic session. This page listed an overview, supporting materials, software, and source codes. If a student wants to earn a National Diploma , HND, Bachelor of Sciences (BSC), Masters of Science (MSC), or Ph.D., they can download this ready-made software and source codes for their projects.
This website offers free computer science final year projects themes with summaries in PDF and ready-made complete materials in MS-word format for chapters 1 through 5, as well as references, software, and source code, for undergraduate and thesis students in the computer science department. As a platform for academic research resources digitally, Schoolprojecttopics has assisted a substantial number of students with their computer science research, source code, and project work.
So, the following list of computer science projects for beginners includes:
SEE FULL LIST OF COMPUTER SCIENCE PROJECT TOPICS
1. Innovative Strategy Of Using smart board in teaching and learning process
This study aims to investigate how using a smart board affects students’ academic performance. Mixed methods that blend quantitative and qualitative methodologies are employed for this goal. Through a literature analysis, the researcher obtained 47 experimental articles looking at the relationship between using a smart board and academic accomplishment, and if they fulfilled the inclusion criteria, included them in the quantitative portion of the study. These studies were examined using the meta-analysis method and the random effects model. According to the study, using a smart board had a positive, significant, and sizeable influence on academic achievement (ES(d) =.94, p.05). The determined effect size is independent of the publication type, educational level, scientific discipline (course), year of publication, sample size, and length of the experiment. Using descriptive and content analytic methodologies, the study’s qualitative data were assessed. In terms of the advantages of using a smart board, the following conclusions were made: “it enables persistent learning,” “supports visual and aural learning,” and “makes concerns more evident.” Under the heading of “the negative effects of using a smart board,” the following findings were made: “Teachers’ inability to use the smart board leads to a loss of time and interrupts the course.” Smart boards “may overshadow teachers,” “make students and teachers lethargic because they get accustomed to the smart boards managing everything,” and other negative effects. Under the heading of recommendations, it was found that “Teachers should receive training on using smart boards,” “Different functions besides presentation (video, sound, educational game, animation, etc.),” and “Smart boards should not be used constantly, only when necessary” had been previously unknown.
2. Automated Computer Aided Charting And Graphic System
We will concentrate on diagrammatic and graphical approaches that are pertinent to our field of study in this essay. Early in the seventeenth century, William Playfair created the diagrammatic and pictorial method of presenting statistical data. This approach involves displaying data via diagrams, charts, and graphs. This necessitates planning ahead and speedy assimilation of the information provided.
Fortunately, the development of the computer system marked a leap forward in the field of information processing technology. An electronic device or piece of machinery known as a computer stores data, processes it, and produces information as needed. The manual display of data, which necessitates the use of protractors and other equipment when plating graphs, drawing pie charts, and other chores, needs a lot of time and stress on the investigation, maybe resulting in an accurate computation of the given data. Manual statistical data presentation was no longer useful for precisely assessing the current population as the world got more computerized. However, with the development of computers, automated methods now have a significant advantage over manually controlled ones, enabling the researcher to swiftly and precisely assemble data on the population of a certain area.
Nigerians have a lot of misconceptions about how the computer was created and what it did before. Some have even gone so far as to assert that the impersonal effect connected with the use of computers will ultimately lead to unemployment, which is not entirely wrong. However, I think that the use of computers to convey statistical data is a welcome and long-awaited advance.
3. Automation Of Online Fake News Detection System In Social Media
The primary focus of this research is on social media’s automated fake news detection systems. Fake news has expanded both locally and internationally as a result of the expansion of online social media web forums such as Facebook, Twitter, and blogging. Local mobile data penetration has increased, and smartphones have aided this even more. This research creates a software application by designing, developing, and implementing a fake news digital forensics tool. The purpose of this research is to identify, analyze, and provide the most relevant and specialized application for the various software solutions for monitoring false news. The study will develop an application using Linux, Apache, MySQL, PHP, and Python.
The application will crawl the web using the Scrapy Python page ranking algorithm and save the data in a MySQL database for data mining. The program, which used Agile software development techniques, focused on twenty websites. The websites will be used as a test population to demonstrate how the application interfaces with the Python libraries that serve as the web crawling framework. The lexicon of false news terms will be searched utilizing MySQL data mining and database queries. To draw inferences from data acquired from crawled web pages, Microsoft Excel 2016 will be used. The data will be evaluated in Excel and shown in tables and graphs.
4. Anomaly Detection Approach Using Hybrid Algorithm of Data Mining
As is well known, most people have recently started to rely heavily on the Internet in almost every aspect of their lives. Today, email, online banking, stock pricing, and online shopping are all dependent on networks. Critical and secret information becomes suspect to attackers when communication networks are used excessively, and the frequency of attacks on crucial information transmitted via the internet is rising everyday. Internet intrusion is one of the most dangerous hazards. Security issues have become a top priority as a result, and several methodologies and approaches have been suggested to address the shortcomings of intrusion detection systems, such as low accuracy, a high number of false alarms, and a slow response time. This paper proposed a hybrid machine learning approach for network intrusion detection based on a combination of K-means clustering and Sequential Minimal Optimization (SMO) classification. The purpose of this study is to put out a novel strategy that can reduce the amount of false positive alarms, raise detection rates, identify zero-day attackers, and achieve high accuracy for categorizing intrusion. The NSL-KDD dataset was used to assess the suggested method. The dataset has undergone several changes, such as feature selection, to enhance classification performance. The classification process utilized (Sequential Minimal Optimization SMO + K-mean clustering). The results show that the suggested technique (K-mean + SMO) has a high detection rate, a low false alarm rate, and a high accuracy after training and testing the proposed hybrid machine learning technique.
5. Automated Online Banking System In Nigeria
The application has three users, Managing Director, Teller and the Customer login page. The MD has access to all the transaction details, MD can create an Account , add staff and each account created will have password for security purpose which is going to serve as login details. The Teller can check account details, Credit an account with the following details: Account Number, Amount and Depositor Name, also Debit an account with the following details: Account Number, Amount and Withdrawer Name. The Customer has access to check his/her account details, view and print transaction details, also changes his/her password.