Computer Science Project Research

Computer science projects are commonly practical based. Undergraduates of computer science are charged to implement their projects especially those into the technical part of the research. Just like any other fields, computer science students also choose their project topics and ensure to get them approved before proceeding for research. This means that one can actually get a research topics and ensure to get them approved before proceeding for research. Though most risk of obtaining unclarified project topics are often mitigated, notwithstanding computer science projects needs to solve problems and straight to the point.

Computer science projects are tactical and sometimes demanding, it requires practical skills and some level of expertise to accomplish it. This is because undergraduates of computer science may have to build software in partials fulfillment of their undergraduate research project.

There are computer science projects that actually requires an assistance of third-party. As long as the third-party and you are involved in the implementation of the system, there will always be an adequate and strong synergy of the projects and you.

How to Get Started with your Computer Science Project Research

  • Brainstorm an idea or identify problem. No matter how much guidance the assignment provides, an integral part of nearly any computer science project is to come up with your own idea. You need to identify a problem in your chosen area of specialization that needs to be solved. At this stage, a pen and piece of paper are the right tools to work with. Start writing down your ideas- anything you’re interested in, as long as it falls within the scope of the assigned guidelines. You’ll end up with some mental noise on the paper- silly or nonsensical phrases that your brain just pushes out. That’s fine. It’s just like sweeping the cobwebs out off your attic. After a minute or two, better ideas will begin to form. Don’t forget, choose a topic that genuinely interests you. Chris Hadley, PhD in Psychology says; “A good research projects should address something that the researcher is curious about. Effective research typically requires sustained, careful focus, and persistence. It’s a lot easier and more enjoyable to do this work when the topic of your research is intrinsically interesting to you.”
  • Look at what others have done. Computer science project research is worth checking out what research topics were covered by others over some years back. Sometimes you may be fortunate to find ready-made suggestions at the end of the project which the author has made in their recommendation for further research. This has the advantage of providing a readymade, tried and tested, robust methodology for your project. Just be carful that you don’t end up stuck with an idea you want to do, but are afraid to do because you know someone else did it before.
  • Literature review. Before you choose or define your project topic, ensure you search all related journals and literature. There are numerous materials available online that you could need the help of. Also, research on your project supervisor because, in the long run, he will be the one in charge of grading you. Finally, you can also make similar search on your idea topic to give you a better understanding and exposure.
  • Visualize in your mind at this stage what kind of methodology you are going to use. How are you going to collect data. Methodology is what will tell you whether you are capable of executing the project or not. A project that it’s methodology isn’t feasible shouldn’t be an option.
  • Clearly define your project topic.
  • Discuss with your project supervisor. You need a project supervisor who is adept in his field of study. When I say field of study, I mean the particular area he is specialized in. Nowadays, some Universities or Polytechnics do not give you a chance to choose your own supervisors. What they do is to share you into groups and assign supervisors to you. This method isn’t good enough, because the project supervisor assigned to you may not be adept in your area of specialization. In fact, when you find yourself in a group, all the steps you’ve taken to choose your project topic will be a waste of time. At times, the supervisor writes the selected topics in a plain sheet and folds them and ask students to pick. The topic you choose then becomes your topic- nonsense. Make sure your project topic is inline with your area of interest by discussing the way forward with your project supervisor.

How to Implement your Computer science project research

After the system analysis phase has been carried out, you are expected to implement your project. Computer science project implementation involves writing flowcharts (using pseudocodes or charts), programs and documentations. Basically, you have two options here;

  • DIY (Do it yourself). Not only does, do-it-yourself saves you cash, but that it helps you to become a master of what you’re interested in. I tell you there is no better sense of feeling than, knowing that you’re the source of what is been made. Computer science projects is practical course, more fulfilling than others. So make sure you’re 50 percent involved in your project implementation.
  • Contract an expert to assist you. The services of an experts will help you to complete your project in a short amount of time. It also exposes you to working with industrial tested methodology like Agile manifesto, building with powerful frameworks like, Rails, Laravel, Yui etc. During your project defense, you’re not expected to start writing codes but instead to explain the importance and scope of your projects.

See: Project Research- Computer Research work from scratch within 21 days

Computer Science Project Research Table of Content Structure



1.0       Introduction

1.1       Statement of the problem

1.2       Purpose of the Study

1.3       Aims and Objectives of the study

1.4       Scope of the study and Limitations

1.6       Assumption

1.7       Definition of terms


2.0              Literature Review

2.1       Introduction

2.2       The Audit Process

2.3              Audit Operations


3.0       Analysis of the existing system

3.1              Fact finding methods used

3.2              Procedure for data collection

3.3              Organizational Structure

3.4              Objectives of the existing system

3.2       Input, process, and output analyses

3.3       Information flow diagram

3.4       Problems of the existing system

3.5       Justification of the new system


4.0       Design of the new system

4.1       Output specification and Design

4.2       Input specification and design

4.2              File Design

4.3              Procedure chart

4.5       System flowchart

4.4              System requirements


5.0       Implementation

5.1       Program design

5.2       Program flowchart

5.3              Pseudocodes

5.4              Source Program

5.5              Test Data

5.6              Sample Reports


6.0              System Documentation

6.1       Program Documentation

6.2              User Documentation


7.0              Conclusion and Recommendation

7.1       Conclusion

7.2       Recommendation



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