problem solving as a computer science student

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How to Use Algorithms to Solve Problems?

An algorithm is a process or set of rules which must be followed to complete a particular task. This is basically the step-by-step procedure to complete any task. All the tasks are followed a particular algorithm, from making a cup of tea to make high scalable software. This is the way to divide a task into several parts. If we draw an algorithm to complete a task then the task will be easier to complete.

The algorithm is used for,

To develop a framework for instructing computers.
Introduced notation of basic functions to perform basic tasks.
For defining and describing a big problem in small parts, so that it is very easy to execute.

Characteristics of Algorithm

An algorithm should be defined clearly.
An algorithm should produce at least one output.
An algorithm should have zero or more inputs.
An algorithm should be executed and finished in finite number of steps.
An algorithm should be basic and easy to perform.
Each step started with a specific indentation like, “Step-1”,
There must be “Start” as the first step and “End” as the last step of the algorithm.

Let’s take an example to make a cup of tea,

Step 1: Start

Step 2: Take some water in a bowl.

Step 3: Put the water on a gas burner .

Step 4: Turn on the gas burner

Step 5: Wait for some time until the water is boiled.

Step 6: Add some tea leaves to the water according to the requirement.

Step 7: Then again wait for some time until the water is getting colorful as tea.

Step 8: Then add some sugar according to taste.

Step 9: Again wait for some time until the sugar is melted.

Step 10: Turn off the gas burner and serve the tea in cups with biscuits.

Step 11: End

Here is an algorithm for making a cup of tea. This is the same for computer science problems.

There are some basics steps to make an algorithm:

Start – Start the algorithm
Input – Take the input for values in which the algorithm will execute.
Conditions – Perform some conditions on the inputs to get the desired output.
Output – Printing the outputs.
End – End the execution.

Let’s take some examples of algorithms for computer science problems.

Example 1. Swap two numbers with a third variable

Step 1: Start Step 2: Take 2 numbers as input. Step 3: Declare another variable as “temp”. Step 4: Store the first variable to “temp”. Step 5: Store the second variable to the First variable. Step 6: Store the “temp” variable to the 2nd variable. Step 7: Print the First and second variables. Step 8: End

Example 2. Find the area of a rectangle

Step 1: Start Step 2: Take the Height and Width of the rectangle as input. Step 3: Declare a variable as “area” Step 4: Multiply Height and Width Step 5: Store the multiplication to “Area”, (its look like area = Height x Width) Step 6: Print “area”; Step 7: End

Example 3. Find the greatest between 3 numbers.

Step 1: Start Step 2: Take 3 numbers as input, say A, B, and C. Step 3: Check if(A>B and A>C) Step 4: Then A is greater Step 5: Print A Step 6 : Else Step 7: Check if(B>A and B>C) Step 8: Then B is greater Step 9: Print B Step 10: Else C is greater Step 11 : Print C Step 12: End

Advantages of Algorithm

An algorithm uses a definite procedure.
It is easy to understand because it is a step-by-step definition.
The algorithm is easy to debug if there is any error happens.
It is not dependent on any programming language
It is easier for a programmer to convert it into an actual program because the algorithm divides a problem into smaller parts.

Disadvantages of Algorithms

An algorithm is Time-consuming, there is specific time complexity for different algorithms.
Large tasks are difficult to solve in Algorithms because the time complexity may be higher, so programmers have to find a good efficient way to solve that task.
Looping and branching are difficult to define in algorithms.

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Problem Solving

Solving problems is the core of computer science. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally how to "write" the specific syntax (required by a computer) to get the job done. It is sometimes the case that a machine will solve a problem in a completely different way than a human.

Computer Programmers are problem solvers. In order to solve a problem on a computer you must:

Know how to represent the information (data) describing the problem.

Determine the steps to transform the information from one representation into another.

Information Representation

A computer, at heart, is really dumb. It can only really know about a few things... numbers, characters, booleans, and lists (called arrays) of these items. (See Data Types). Everything else must be "approximated" by combinations of these data types.

A good programmer will "encode" all the "facts" necessary to represent a problem in variables (See Variables). Further, there are "good ways" and "bad ways" to encode information. Good ways allow the computer to easily "compute" new information.

An algorithm (see Algorithm) is a set of specific steps to solve a problem. Think of it this way: if you were to tell your 3 year old neice to play your favorite song on the piano (assuming the neice has never played a piano), you would have to tell her where the piano was, and how to sit on the bench, and how to open the cover, and which keys to press, and which order to press them in, etc, etc, etc.

The core of what good programmers do is being able to define the steps necessary to accomplish a goal. Unfortunately, a computer, only knows a very restricted and limited set of possible steps. For example a computer can add two numbers. But if you want to find the average of two numbers, this is beyond the basic capabilities of a computer. To find the average, you must:

First: Add the two numbers and save this result in a variable
Then: Divide this new number the number two, and save this result in a variable.
Finally: provide this number to the rest of the program (or print it for the user).

We "compute" all the time. Computing is the act of solving problems (or coming up with a plan to solve problems) in an organized manner. We don't need computers to "compute". We can use our own brain.

Encapsulation and Abstraction and Complexity Hiding

Computer scientists like to use the fancy word "Encapsulation" to show how smart we are. This is just a term for things we do as humans every day. It is combined with another fancy term: "Abstraction".

Abstraction is the idea of "ignoring the details". For example, a forest is really a vastly complex ecosystem containing trees, animals, water paths, etc, etc, etc. But to a computer scientist (and to a normal person), its just "a forest".

For example, if your professor needs a cup of coffee, and asks you the single item: "Get me a cup of coffee", he has used both encapsulation and abstraction. The number of steps required to actually get the coffee are enumerable. Including, getting up, walking down the hall, getting in your car, driving to a coffee stand, paying for the coffee, etc, etc, etc. Further, the idea of what a cup of coffee is, is abstract. Do you bring a mug of coffee, or a Styrofoam cup? Is it caffeinated or not? Is it freshly brewed or from concentrate? Does it come from Africa or America?

All of this information is TOO MUCH and we would quickly be unable to funciton if we had to remember all of these details. Thus we "abstract away" the details and only remember the few important items.

This brings us to the idea of "Complexity Hiding". Complexity hiding is the idea that most of the times details don't matter. In a computer program, as simple an idea as drawing a square on the screen involves hundreds (if not thousands) of (low level) computer instructions. Again, a person couldn't possible create interesting programs if every time they wanted to do something, they had to re-write (correctly) every one of those instructions. By "ecapsulating" what is meant by "draw square" and "reusing" this operation over and over again, we make programming tractable.

Encapsulation

The idea behind encapsulation is to store the information necessary to a particular idea in a set of variables associated with a single "object". We then create functions to manipulate this object, regardless of what the actual data is. From that point on, we treat the idea from a "high level" rather than worry about all the parts (data) and actions (functions) necessary to represent the object in a computer.

Brute Force

Brute force is a technique for solving problems that relies on a computers speed (how fast it can repeat steps) to solve a problem. For example, if you wanted to know how many times the number 8 goes into the number 100, you could do the following:

Of course this is a silly way for a computer (or a human) to solve this problem. The real way we would do it is:

When in doubt, you can often use "brute force" to solve a problem, but it often saves time (at least computer time) to think about the problem and solve it in an elegant manner.

How to think like a programmer — lessons in problem solving

By Richard Reis

If you’re interested in programming, you may well have seen this quote before:

“Everyone in this country should learn to program a computer, because it teaches you to think.” — Steve Jobs

You probably also wondered what does it mean, exactly, to think like a programmer? And how do you do it??

Essentially, it’s all about a more effective way for problem solving .

In this post, my goal is to teach you that way.

By the end of it, you’ll know exactly what steps to take to be a better problem-solver.

Why is this important?

Problem solving is the meta-skill.

We all have problems. Big and small. How we deal with them is sometimes, well…pretty random.

Unless you have a system, this is probably how you “solve” problems (which is what I did when I started coding):

Try a solution.
If that doesn’t work, try another one.
If that doesn’t work, repeat step 2 until you luck out.

Look, sometimes you luck out. But that is the worst way to solve problems! And it’s a huge, huge waste of time.

The best way involves a) having a framework and b) practicing it.

“Almost all employers prioritize problem-solving skills first. Problem-solving skills are almost unanimously the most important qualification that employers look for….more than programming languages proficiency, debugging, and system design. Demonstrating computational thinking or the ability to break down large, complex problems is just as valuable (if not more so) than the baseline technical skills required for a job.” — Hacker Rank ( 2018 Developer Skills Report )

Have a framework

To find the right framework, I followed the advice in Tim Ferriss’ book on learning, “ The 4-Hour Chef ”.

It led me to interview two really impressive people: C. Jordan Ball (ranked 1st or 2nd out of 65,000+ users on Coderbyte ), and V. Anton Spraul (author of the book “ Think Like a Programmer: An Introduction to Creative Problem Solving ”).

I asked them the same questions, and guess what? Their answers were pretty similar!

Soon, you too will know them.

Sidenote: this doesn’t mean they did everything the same way. Everyone is different. You’ll be different. But if you start with principles we all agree are good, you’ll get a lot further a lot quicker.

“The biggest mistake I see new programmers make is focusing on learning syntax instead of learning how to solve problems.” — V. Anton Spraul

So, what should you do when you encounter a new problem?

Here are the steps:

1. Understand

Know exactly what is being asked. Most hard problems are hard because you don’t understand them (hence why this is the first step).

How to know when you understand a problem? When you can explain it in plain English.

Do you remember being stuck on a problem, you start explaining it, and you instantly see holes in the logic you didn’t see before?

Most programmers know this feeling.

This is why you should write down your problem, doodle a diagram, or tell someone else about it (or thing… some people use a rubber duck ).

“If you can’t explain something in simple terms, you don’t understand it.” — Richard Feynman

Don’t dive right into solving without a plan (and somehow hope you can muddle your way through). Plan your solution!

Nothing can help you if you can’t write down the exact steps.

In programming, this means don’t start hacking straight away. Give your brain time to analyze the problem and process the information.

To get a good plan, answer this question:

“Given input X, what are the steps necessary to return output Y?”

Sidenote: Programmers have a great tool to help them with this… Comments!

Pay attention. This is the most important step of all.

Do not try to solve one big problem. You will cry.

Instead, break it into sub-problems. These sub-problems are much easier to solve.

Then, solve each sub-problem one by one. Begin with the simplest. Simplest means you know the answer (or are closer to that answer).

After that, simplest means this sub-problem being solved doesn’t depend on others being solved.

Once you solved every sub-problem, connect the dots.

Connecting all your “sub-solutions” will give you the solution to the original problem. Congratulations!

This technique is a cornerstone of problem-solving. Remember it (read this step again, if you must).

“If I could teach every beginning programmer one problem-solving skill, it would be the ‘reduce the problem technique.’ For example, suppose you’re a new programmer and you’re asked to write a program that reads ten numbers and figures out which number is the third highest. For a brand-new programmer, that can be a tough assignment, even though it only requires basic programming syntax. If you’re stuck, you should reduce the problem to something simpler. Instead of the third-highest number, what about finding the highest overall? Still too tough? What about finding the largest of just three numbers? Or the larger of two? Reduce the problem to the point where you know how to solve it and write the solution. Then expand the problem slightly and rewrite the solution to match, and keep going until you are back where you started.” — V. Anton Spraul

By now, you’re probably sitting there thinking “Hey Richard... That’s cool and all, but what if I’m stuck and can’t even solve a sub-problem??”

First off, take a deep breath. Second, that’s fair.

Don’t worry though, friend. This happens to everyone!

The difference is the best programmers/problem-solvers are more curious about bugs/errors than irritated.

In fact, here are three things to try when facing a whammy:

Debug: Go step by step through your solution trying to find where you went wrong. Programmers call this debugging (in fact, this is all a debugger does).

“The art of debugging is figuring out what you really told your program to do rather than what you thought you told it to do.”” — Andrew Singer

Reassess: Take a step back. Look at the problem from another perspective. Is there anything that can be abstracted to a more general approach?

“Sometimes we get so lost in the details of a problem that we overlook general principles that would solve the problem at a more general level. […] The classic example of this, of course, is the summation of a long list of consecutive integers, 1 + 2 + 3 + … + n, which a very young Gauss quickly recognized was simply n(n+1)/2, thus avoiding the effort of having to do the addition.” — C. Jordan Ball

Sidenote: Another way of reassessing is starting anew. Delete everything and begin again with fresh eyes. I’m serious. You’ll be dumbfounded at how effective this is.

Research: Ahh, good ol’ Google. You read that right. No matter what problem you have, someone has probably solved it. Find that person/ solution. In fact, do this even if you solved the problem! (You can learn a lot from other people’s solutions).

Caveat: Don’t look for a solution to the big problem. Only look for solutions to sub-problems. Why? Because unless you struggle (even a little bit), you won’t learn anything. If you don’t learn anything, you wasted your time.

Don’t expect to be great after just one week. If you want to be a good problem-solver, solve a lot of problems!

Practice. Practice. Practice. It’ll only be a matter of time before you recognize that “this problem could easily be solved with .”

How to practice? There are options out the wazoo!

Chess puzzles, math problems, Sudoku, Go, Monopoly, video-games, cryptokitties, bla… bla… bla….

In fact, a common pattern amongst successful people is their habit of practicing “micro problem-solving.” For example, Peter Thiel plays chess, and Elon Musk plays video-games.

“Byron Reeves said ‘If you want to see what business leadership may look like in three to five years, look at what’s happening in online games.’ Fast-forward to today. Elon [Musk], Reid [Hoffman], Mark Zuckerberg and many others say that games have been foundational to their success in building their companies.” — Mary Meeker ( 2017 internet trends report )

Does this mean you should just play video-games? Not at all.

But what are video-games all about? That’s right, problem-solving!

So, what you should do is find an outlet to practice. Something that allows you to solve many micro-problems (ideally, something you enjoy).

For example, I enjoy coding challenges. Every day, I try to solve at least one challenge (usually on Coderbyte ).

Like I said, all problems share similar patterns.

That’s all folks!

Now, you know better what it means to “think like a programmer.”

You also know that problem-solving is an incredible skill to cultivate (the meta-skill).

As if that wasn’t enough, notice how you also know what to do to practice your problem-solving skills!

Phew… Pretty cool right?

Finally, I wish you encounter many problems.

You read that right. At least now you know how to solve them! (also, you’ll learn that with every solution, you improve).

“Just when you think you’ve successfully navigated one obstacle, another emerges. But that’s what keeps life interesting.[…] Life is a process of breaking through these impediments — a series of fortified lines that we must break through. Each time, you’ll learn something. Each time, you’ll develop strength, wisdom, and perspective. Each time, a little more of the competition falls away. Until all that is left is you: the best version of you.” — Ryan Holiday ( The Obstacle is the Way )

Now, go solve some problems!

And best of luck ?

Special thanks to C. Jordan Ball and V. Anton Spraul . All the good advice here came from them.

Thanks for reading! If you enjoyed it, test how many times can you hit in 5 seconds. It’s great cardio for your fingers AND will help other people see the story.

If you read this far, thank the author to show them you care. Say Thanks

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Top 8 Innovative Final Year Projects for Computer Science Students [Complete Guide]

The final year project in CSE allows you to gain practical knowledge from your theoretical base. The real-life projects that solve problems give you hands-on experience in the field of computer science. But, this requires a specific skill set and training. You will have to sharpen your skills with the latest trends in technology to grow further in the field.

Final year project is considered the most important part of any student’s academic life. It gives students the opportunity to showcase what they have learned and how they can use their intellectual abilities and practical skills to solve real-life problems. A lot of students do not know but the final year projects can also impact their careers and because of this, it is important that you choose the final year projects very wisely. When you apply for a job in any company after your studies then the first thing they look at is your project.

While carrying out the final year project, students will learn a lot about their field and gain valuable technical knowledge and experience. It will boost their self-confidence and strengthen their core skills. The university project will give them a competitive advantage and improve their communication skills.

Final year projects for computer science students provide an opportunity to apply the knowledge and skills they have acquired throughout their academic studies to a real-world problem or challenge. These projects often involve substantial research and development and can take the form of a software application, hardware design, or theoretical research study.

The article will help you get ideas on final-year projects for CSE .

Table of Contents

How to Choose the CSE Final Year Project Definition?

To complete a final year project successfully is not easy and there is a lot of hard work and skills required. Now, to identify the perfect final year project and effectively complete it there are some things that you must keep in mind.

1. Choose a Problem-Solving Topic

Choosing a problem-solving topic for your final year project is a great way to demonstrate your ability to apply your technical skills to real-world issues. You can start by identifying a problem or challenge in your field of interest, then research and analyze different solutions to the problem.

It’s essential to consider the feasibility of the project, as well as its potential impact on society or industry. This type of Project will help you demonstrate your skills and knowledge more practically and effectively than a traditional theoretical project. Enroll in the final year project training if you want to close the gap between college education and industry requirements.

2. Think About Project Feasibility as per your Skill Set

Students must select the project based on their skill set because eventually a successful final-year project will require a lot of effort and you should have the skill set to finish the project that you have taken. Deciding the university project topic based on their skill set will allow students to narrow down topics and effectively decide the project that will suit their abilities. If you are working with a team then first discuss and identify the skill set of everyone and then decide on the college project. Along with the skillset, students must also keep in mind about their knowledge and capabilities.

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3. Discuss the Project with the Mentor in Detail

Final year project discussion with mentor

A right mentor plays a very important role in the successful completion of any final-year project. Proper guidance is extremely necessary and without that it is difficult to finish the project on time. So, as a student, you must identify a mentor with whom you are comfortable. You should be freely able to discuss your idea about the project with your mentors. Students should make sure that the mentor they choose should have good knowledge about the topic on which they are doing the project.

You can have more than one mentor for your college project. Having more than one mentor is very beneficial as you can learn a lot more and easily use that knowledge and information in your final year project. Before starting the project discuss your whole idea thoroughly with your mentor.

4. Identify System Requirements

Having the facilities and the resources that will be used in the project is equally important as having a good topic. Students need to first identify all the things or resources that will be used in their project and make sure that all the resources and equipment are available around you. There are also various other parameters that students must consider like budget and time. Make sure your project gets completed in the given budget and before the submission date. Identifying the system requirements before start of the project can be very helpful and you can easily execute the project efficiently.

5. Research on the Future Scope of the Project

Students should not select a project that is based on outdated technologies and has no future scope because it won’t be very helpful for their career. Make sure that the final year project includes the latest technologies and has good scope for future advancements. Final year projects with a future scope can be useful in getting a job and you can also use this project as research for further studies.

These are some of the points that you must keep in mind if you want to accomplish a successful college project. Project selection is tough and requires a lot of detailed attention. Hence, before selecting a topic for the final year project analyze all the different criteria as mentioned above.

When you start working on your final year project for CSE, focus your attention on giving the resultant utility. This gives you an outlook on your project. And it also gives your project an edge over others. The following are some final-year project ideas for CSE students.

8 Best Final Year Projects For CSE

1. gym workout progress tracker.

The growing number of fitness enthusiasts has attracted the demand for workout trackers. This is an interesting final-year project idea for CSE students. The gym workout progress tracker is designed to track the workout activity of the individual automatically. It calculates the number of reps and calories burned during the workout.

Gym Workout Progress Tracker:

One of the Final year project ideas allows users to track and record their workout progress and results.

Features

Workout schedule planner
Progress tracking and monitoring
Nutrition plan suggestions

Technology Required to Learn

Java or Python
Web development frameworks like AngularJS and ReactJS

Basic Skills Required

In -database and web development

Skills to Gain for this Project

Project management
Software development and database management.

2. Field Service Management Software and App:

Field Service Management Project for Final Year

This Project is a major project for CSE’s final year, which aims to improve field service management by streamlining work processes, reducing administrative tasks, and optimizing communication among field service engineers and customers.

Features

Dispatching
Inventory management

Technology Required to Learn

Android or iOS Mobile development platforms

The Basic Skills Required

Knowledge of database and software development.

Skills to Gain for this Project

Project management and technical skills such as software development and database management.

3. Space Shooter Combat Game Python

An interesting and fun final-year project for computer science students is a space shooter combat game. The shooting arcade game is built using python. The dynamic and interactive interface can be an interesting yet fun process to build. The game may have different levels, power-ups, and combat obstacles. Students can have a hands-on experience of python and pygame during the project.

These mini project topics for CSE will have a 2D space shooter game where the player controls a spaceship and combats enemy ships.
The player must navigate through different levels and defeat a boss at the end of each level.
Different types of enemies and power-ups that the player can collect
Scoring system and high score leaderboard
Visual effects
Sound effects

Technology Required to Learn:

Python programming language
Pygame library for game development
Basic understanding of game development principles
Familiarity with object-oriented programming concepts

Basics Skills Required:

Knowledge of basic programming concepts such as variables, functions, loops, and control structures
Familiarity with Python syntax and data types
Basic understanding of computer graphics and game development principles

Skills to Gain for this Project:

Technical Skills:

Advanced Python programming skills
Knowledge of the Pygame library
Game development and game engine principles
Understanding of 2D graphics and game physics

Soft Skills:

Project management skills
Problem-solving skills
Understanding of user experience and game design principles
Teamwork and collaboration skills

4. Crime Rate Predictions

When you have to shift to a new place, the very first thing you prioritize is your and your loved one’s safety. Imagine if you could predict the crime rate in an area. This idea is a potential final-year project for CSE. The crime rate prediction system will be able to analyze and predict the crime rate in a particular area. The system uses a K-mining data algorithm to analyze and predict. The system will present data around patterns of crimes, people committing them, and crime groups popular in the location.

This Project for final year will have Real-time Crime rate predictions
Predict crime rates for different regions and crime types
Visualizations and interactive dashboards
Influencing factors for crime rates, such as weather, population density, and socioeconomic factors
Python or R for programming
Scikit-learn or TensorFlow
Data visualization and dashboard-building tools such as Plotly or Tableau
Data cleaning, exploration, and modeling techniques
Variables, functions, loops, and control structures
Data visualization, probability, and statistics
Machine learning and data science concepts
Data collection, management, and cleaning
Knowledge of libraries and toolkits such as Plotly, Tableau, sci-kit-learn, TensorFlow
Understanding of data modeling and model deployment
Understanding of ethical considerations

Interpersonal and communication skills,

5. Android Battery Saver

Everyone carries a smartphone these days. The swift battery draining of smartphones is an issue faced by every Android phone owner. An Android battery saver can assist in analysing the apps that are draining the battery. The battery saver makes a consolidated list of apps running, battery percentage, and active time of the phone. It can also have an alarm to close the apps that are consuming too much battery life.

Optimizes battery usage by closing background apps and disabling unnecessary features
User-friendly interface
Real-time information about battery usage
Schedule automatic optimization at specific times of the day
Automatic “Power saving mode.”
Java or Kotlin
Android Studio
Android SDK and libraries
Android’s battery management system
Android app development and its architecture
How batteries and energy management work.

d. Skills to Gain for this Project:

Advanced Android app development
Energy management and optimization algorithms
Project management
Problem-solving
Understanding of user experience and design principles

6. Library Management System

Management of data is a problem faced in almost every sector. Smooth data management ensures smooth working in the sector. Hence, when there is data there has to be a management system. A potential final-year project for CSE could be building a library management system.

The library management system can store and manage the data regarding issues and returns of books, serialization, deserialization, genres, and availability of books, magazines, etc.

Cataloging and searching for books
Managing circulation, including check-out and check-in
Maintaining user accounts and tracking borrowing history
Generating reports and statistics on library usage
MySQL or PostgreSQL
Java or C#)
HTML, CSS, and JavaScript
Understanding of database design and management
Basic programming skills
Familiarity with web development technologies
Experience with database management and programming
Understanding of library management systems
Development of web development skills
Improved problem-solving and project management skills.

7. Resume Builder Web Applications

For a person actively looking for a job, resumes are the primary mode of communication with an employer. Employers and companies use resumes to shortlist the ideal candidates for further rounds during the selection process. But, here is an issue. The basic resume with all the relevant information does not go through the ATS. Hence, we need a resume builder to make resumes in easy steps that go through ATS. A web-based resume builder with cutting-edge technology is the idea for the project for the final year. Through the project, you can polish your JS skills.

Creating and editing resumes
Adding and managing multiple versions of a resume
Templates and formatting options
Sharing and downloading of resumes
Web development technologies such as HTML, CSS, JavaScript, and frameworks (such as React or Angular)
MongoDB or MySQL
Backend programming languages (such as Node.js or Ruby on Rails)
Web development technologies
Basic knowledge of database management
Familiarity with programming languages
Web development frameworks, concepts, and technologies
Understanding of how to create and manage a resume
Development of problem-solving and project-management skills
Improved skills in communication and teamwork.

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8. Fingerprint Voting System

A Fingerprint voting system will be used to analyze the fingerprint patterns for unique identity. It is used in voting systems for the authentic election process. The system allows voters to vote through the fingerprint recording of their unique identity. It will ensure one-time voting and a systematic database of voters. The fingerprint sensor will record the identity to prevent any tampering during the election procedure.

Fingerprint identification and verification
Secure data storage and encryption
Voter authentication
Real-time voting results
Fingerprint recognition and authentication technologies
MySQL or MongoDB
Java, C++, or Python
Networking and communication protocols
Understanding of databases and data security
Familiarity with networking and communication protocols
Experience with fingerprint recognition and authentication technologies
Understanding of voting systems and how they work
Improved skills in problem-solving and Project management
Development of skills in security and data encryption

final year project traninig for cse students

Students should choose the perfect institute that can give an opportunity to learn and it also helps them at every step for their final year project. The training institute should provide better opportunities in the market and it should not be limited to projects because career opportunities are also very important. The project training institute that students are choosing for their final year project should have good mentors that have detailed knowledge about the subjects and technology. The project training institute works on enhancing the knowledge and skill of the students.

The training institute can bridge the gap between education and career for students. Along with the project, students can learn new skills and these institutes also provide placement assistance. So mainly students should look for well-equipped labs, expert mentors, and live project experience for enhancing their skill before selecting the project training institute.

Students can also do various certified courses that are generally required in industries. With certified courses students can gain valuable knowledge and build the skill set that is required in industries. Hence, a project training institute like LogicRays Academy can play a huge role in the career of a student and it is important for students to choose the right institute for them. Contact us to know more about IT training courses.

FAQs about the Final Year project

Real-world-problem solving projects are considered the best for CSE students as they offer hands-on experience in solving real-world problems using Technology. Many students choose to work on projects related to emerging technologies such as PHP, python, node, java, reactjs, machine learning, blockchain and IoT.

Innovative project ideas for computer science students can be found by researching industry trends, looking at current societal problems, or consulting with industry professionals. Some common topics for final-year projects in computer science include artificial intelligence, machine learning, data science, cybersecurity, computer networks, and software engineering.

Final-year project topics for computer engineering are essential as it allows students to apply the knowledge and skills they have learned throughout their studies to a real-world problem, and it also serves as an opportunity to showcase their abilities to potential employers.

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Problem-Solving Strategies

First Online: 06 August 2020

Cite this chapter

problem solving as a computer science student

Orit Hazzan ORCID: orcid.org/0000-0002-8627-0997 4 ,
Noa Ragonis ORCID: orcid.org/0000-0002-8163-0199 5 &
Tami Lapidot 4

1600 Accesses

Problem-solving is generally considered as one of the most important and challenging cognitive activities in everyday as well as in any professional contexts. Specifically, it is one of the central activities performed by computer scientists as well as by computer science learners. However, it is not a uniform or linear process that can be taught as an algorithm to be followed, and the understanding of this individual process is not always clear. Computer science learners often face difficulties in performing two of the main stages of a problem-solving process: problem analysis and solution construction. Therefore, it is important that computer science educators be aware of these difficulties and acquire appropriate pedagogical tools to guide and scaffold learners in learning these skills. This chapter is dedicated to such pedagogical tools. It presents several problem-solving strategies to address in the MTCS course together with appropriate activities that mediate them to the prospective computer science teachers by enabling them to experience the different strategies.

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An algorithmic problem is defined by what is given – the initial conditions of the problem and its goals – the desired state, what should be accomplished. An algorithm problem can be solved with a series of actions formulated formally either by pseudo-code or a programming language. See Sect. 12.4.1 .

In advanced computer science classes, it is relevant to mention that in computer science, in addition to the development of problem-solving strategies, special emphasis is placed also on non-solvable problems (see Sect. 12.4.3 ).

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Hazzan, O., Ragonis, N., Lapidot, T. (2020). Problem-Solving Strategies. In: Guide to Teaching Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-39360-1_8

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