Are you pursuing computer science but always feel “I hate Computer Science?”
CS is a growing field, but not everyone likes it. If you do not like or hate CS, let’s explore ways to overcome this challenging journey.
This article will dive into why some people don’t like CS and offer advice on dealing with the field. Keep reading it to learn more!
I Hate Computer Science: Why Is It So Hard?
According to our survey, the main reason why students hate this field is because it is too difficult. Read on to find out!
1. Mathematical Basis
Currently, areas of mathematics particularly relevant to CS include:
- Logic
- Discrete mathematics
- Probability theory
- Linear algebra
Logic is vital to understanding and building correct algorithms. Meanwhile, discrete mathematics provides tools to study structures with a finite number of elements that are the basis of CS, such as graphs and trees.
These theories are essential but also challenging. They are the reason why so many young people today hate CS.
2. Abstract Thinking
In CS, abstract thinking plays an important role, making the field challenging for some individuals. Specifically, CS deals with abstract concepts such as:
These concepts often need thinking about logical reasoning and problem-solving plans rather than tangible objects. Thus, abstract thinking allows you to break down complex issues into smaller parts.
Hence, you can be more manageable and have generic answers that can be applied to different cases. Yet, this skill can be difficult for someone used to concrete and tangible problems.
3. Vast Scope
The breadth and depth of scopes in CS are vast, from data structures to AI. With the rapid growth, new research areas are emerging, making it challenging to keep up with the latest changes.
Besides, CS intersects with many other areas (mathematics, physics, and engineering), further expanding its scope.
This interdisciplinary nature adds complexity to the subject, needing a background in many fields to grasp its intricacies.
Also, the fast-paced nature of CS needs constant learning and adaptation. Technology and coding languages evolve rapidly, making old knowledge and skills outdated.
Thus, updating with the latest advances, tools, and techniques is a constant need for computer scientists.
How Long Does It Take To Be Good At Computer Science?
The time it takes to learn CS varies depending on some factors, including:
- Prior knowledge
- Learning style
- Dedication
- Specific goals in CS
For those starting from scratch, a typical bachelor’s program in CS can take about four years of full-time study. But mastering CS needs more than just a degree.
Besides formal education, practical experience, self-study, and constant learning are essential. This self-directed learning process can continue throughout your career as new technologies and advances emerge.
Besides, the time it takes to master CS depends on the desired level of expertise. You can gain a basic understanding and skills in coding and basic concepts after months. But becoming an expert can take several years of in-depth study.
How to Deal with Computer Science?
Just because CS is hard doesn’t mean you can’t be good at it. Instead of hating it, try our following guides to getting good at the field!
1. Start with the Basics
Building a basis in core concepts and basic skills sets the stage for a successful learning journey. Thus, we suggest starting from the fundamentals of coding.
- Variable
- Data Types
- Control structure
- Function
Mastering these basics helps you grasp more advanced concepts and languages later on. Also, educate yourself with basic algorithms and data structures.
Investing time in understanding these basic blocks allows you to solve more complex problems and boosts your advancement in CS.
2. Embrace a Growth Mindset
A growth mindset involves the potential to grow and improve through dedication and effort. You must realize that challenges, failures, and mistakes are valuable chances to learn and grow; instead of seeing difficulties as obstacles, see them as springboards to progress.
Besides, this skill fosters a positive learning attitude and a willingness to seek help and learn from others.
With a growth mindset, you can approach CS with optimism, adaptability, and a commitment to continuous learning and improvement.
3. Seek Guidance and Collaboration
Finally, don’t hesitate to ask for help from tutors when you have a question. Also, we recommend participating in study groups that allow you to exchange ideas and gain different views.
Besides, collaboration helps you develop essential communication and teamwork skills, which are critical in CS.
With this tip, you can tap into the collective knowledge, speed up the learning process, and build a support network that can contribute to growth and success.
FAQs
Should I Pursue Computer Science If I Hate Coding?
If you hate coding, pursuing a career in CS may not be the best fit. Coding is an aspect of CS, and a strong interest and aptitude for coding are typically needed to succeed and enjoy the field.
Is Computer Science The Hardest Science?
It is subjective to declare CS as the most challenging science. Each scientific field has its complexities and challenges. CS has difficulties but is not universally agreed upon as the most challenging science.
Is CS More Challenging Than Engineering?
Comparing computer science and engineering depends on your interests and strengths. Both have unique challenges, and the difficulty level can vary based on the specific focus within each discipline.
Is Computer Science Math Heavy?
Yes. CS can be math-heavy, especially in algorithms and machine learning. Yet, they vary depending on the specific subfields and courses within CS.
Conclusion
Above are some of our shares on the “I hate Computer Science” topic. While it is not uncommon for this case, it is vital to remember that there are ways to navigate and deal with these feelings.
Ultimately, the goal is not to force yourself to love computer science. Instead, we recommend finding how to make it more manageable and potentially exploring areas within the field that better suit your interests and strengths.
Thank you for reading!