2

Computer Science Professions and Lack of Jobs

Computer Science Professions and Lack of Job

Computer science has several professions, including web designer, software developer, computer scientist, computer hardware engineer, and engineer. The software developer occupation, also known as computer programming or coding, involves the creation of computer software. The software developer occupation is based on analyzing the users’ needs and designing and developing software that meets those needs. The engineers design, test, analyze, invent, and build structures, machines, machines, complex systems, materials, and gadgets to fulfil requirements and functional objectives considering the imposed limitations by cost, practicality, safety, and regulation (Demir et al.,2019). Computer science is a profession that involves using technology to solve a range of different problems. It involves working on things such as building software that enables robots and autonomous drones. Web designing or programming is an occupation that specializes in worldwide web development of applications through the client to server model. The main aim of this profession is to create and maintain websites. It also ensures the performance capacity of the websites. Computer hardware engineering involves designing, testing, researching , and developing systems of computers and components such as processors, routers, networks, circuit boards, and memory devices.

There is a lack of jobs for computer science professions. There have been poor prospects of employment for computer science graduates despite the tech skills shortage in the market and increase in IT jobs. Several people with bachelor’s and master’s degrees in computer science find it difficult to get a job in the IT industry. The rate of unemployment has increased to 7.8%. Even though most companies in the U.S claim to have a tech skills shortage, it is a contradictory situation because there are no employment opportunities for computer science professionals. Failure to have real-time practical experience makes most companies take approximately 50% longer for them to hire a candidate compared to other recruiters. This is because they seek to recruit highly qualified developers who have exceptional skills in coding.

Despite the claim by many companies to need tech skills, most computer science professional graduates have found it difficult to get employment. In short, there has been an increased lack of jobs for many computer science professionals in the market. Most companies have delayed recruiting an individual to take IT jobs in their companies for the desire of highly experienced software developer, web designer, engineer, computer hardware engineer, and computer scientist for this post.

There has been a lack of employment for computer science graduates even though tech companies exist and claim to need tech skills personnel. While other companies that deal with other professionals recruit more often, the tech companies take along to do recruitment. This is because they focus more on the hands-on skills experience than graduates’ theoretical knowledge (Huang et al.,2020).

The inflating computer science professionals’ unemployment and the reason the tech companies fail to hire them is influenced by some factors, including the outdated curriculum. The curriculum of computer science focuses on low-level programming. This curriculum teaches more fundamental and theoretical concepts without revision from one year to another. The students’ knowledge is confined because the curriculum is outdated and focuses on the general basics of programming. In this case, most computer science graduates only have fundamental knowledge of software development, algorithms, and computer language theory.

Lack of the right tech skills is another factor leading to unemployment in the computer science profession. IT technology is important over trending technologies, such as java web development, Big Data, automation, cloud computing, and machine learning. Many tech companies have preferences when recruiting, including the latest technologies usage proficiency. They prefer individuals who can use the new technologies compared to computer science graduates who have no IT projects and essential software development skills.

The fast technology evolution leads to a lack of employment for computer science professionals. There is an ever-changing environment that information technology provides and which goes on evolving every hour. There is a need to adopt an agile learning approach to sustain the changing settings because the traditional learning methods do not prepare students to cope with the technical sphere’s dynamic nature (Gao et al.,2019). Additionally, due to their limited scope of study, computer science professionals find it challenging to accommodate the technological changes.

Failure to have real-time experience also contributes to unemployment among computer science professionals. Practical experience is more significant in the IT sector than the theoretical knowledge that computer science graduates acquire. Employers will prefer to hire professionals who have real-time experience in AWS, Java, DevOps, Python, and MERN stack, among other modern frameworks. Therefore, computer science graduates need to get some field experience to meet the latest standards of hiring tech companies. The companies will forgo hiring a recent graduate for fear of risking their reputation through low-quality work provision.

Another factor affecting unemployment in the computer science professions is the access to ready-made IT talent from outsourcing. The tech companies’ employers tend to outsource efficient resources to bridge the IT skills gap, and this assists the companies to get skilled developers, which prompts actions without the need for training. This makes the computer science graduates who have no practice experience remain unemployed and increase their chances of not getting employed in their field of study for failure to get jobs where they can increase their experience. This makes them remain with the same theoretical skills they acquired in class hence limited chances of getting employment.

Hiring foreign workers on E-2, H1, and L-1, or even B1 visas is another factor influencing the lack of jobs for computer science professionals. Top companies such as Amazon, Deloitte, and Microsoft hire foreign employees by getting E-2, H1B, L-1, and B1 visas. In the U.S, IT companies globally employ the best talent regardless of nationality to stay competitive. This means that the local computer science professionals end up losing their chances of developing their skills and experience and getting employment (Wang & Siau,2019). The department of labour for the U.S projects that by the end of 2020, approximately 1.4 million computer specialist jobs will be created. Still, out of these job positions, 29% of them will be occupied by U.S universities graduates, whereas the remaining will be occupied by the shortage filled by the foreign tech talent.

My viewpoint on the unemployment for computer science graduates due to lack of up-to-date tech skills is that the outdated curriculum that does not equip them with practical learning experience should be revised. The new necessary elements will lead to proper equipment with skills included. Failure to employ computer science graduates because of a lack of necessary skills is not a solution to the growing IT sector. Instead of hiring talents from foreign nationalities, they would rather create training programs for interns to give experience to the computer science graduates and to shape them up for roles in their company. Hiring skilled labour from outside is more expensive than training the computer science graduates and turning them into skilled labour.

The tech companies provide candidates with the proper knowledge and skills thousands of opportunities. There is a need for computer science graduates to rise above average learners and gain practical skills to get employment. A upskill program is required for acquiring necessary skills by the tech aspirants for them to cope with the IT sector’s ever-changing environment. The outsourcing of skilled IT personnel leaves the young graduates in a desperate condition with no hope of getting employed. The outdated curriculum only prepares graduates with theory and produces individuals who are not fully equipped for job roles in Tech companies or the IT sector in general (Huang et al.,2020). Unemployment is also related to the ever-changing environment of the IT sector, where the computer science graduates lag with the ancient knowledge as the new skills and technologies in the IT sector advance. The programs to equip the graduates with the new skills and technologies should be laid to ensure they remain up to date and fit for employment.

Training the graduates of computer science and supporting them to catch up with new technologies in the IT sector would be necessary because, in future, this would reduce the cost of hiring foreign talents in IT. The training will raise some IT talents, which will reduce the cost of employment in the IT sector and improve the country’s economy. Outsourcing of talents will help the tech company to grow for a while. Still, continued action of outsourcing will leave the country with fewer or no experienced IT professionals since that is likely to raise the country’s cost of employment and put it at risk for failure if the outsourced employees fail to cooperate.

References

Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia computer science, 158, 688-695.

Gao, K., Cao, Z., Zhang, L., Chen, Z., Han, Y., & Pan, Q. (2019). A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE/CAA Journal of Automatica Sinica, 6(4), 904-916.

Huang, J., Gates, A. J., Sinatra, R., & Barabási, A. L. (2020). Historical comparison of gender inequality in scientific careers across countries and disciplines. Proceedings of the National Academy of Sciences, 117(9), 4609-4616.

Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management (JDM), 30(1), 61-79.

1. Describe why you chose to incorporate specific feedback about your argument into your persuasive essay.

A. You might use feedback from your instructor or peers or from outside the class if you did not get any feedback from classmates.

2. Describe what decisions you made in your essay based on feedback about the exploration of your issue.

A. Describe how you used feedback to make changes or support your original direction.

3. Describe the decisions you made based on feedback about source integration.

A. Describe how you used feedback to make changes or support your original direction.

4. Describe which writing strategies were most effective in supporting your argument, given your audience, subject, and purpose.

Required Resources
Read/review the following resources for this activity:

· Textbook: Chapter 4, 5

· Lesson

· Minimum of 2 scholarly sources (in addition to the textbook)

Instructions
For this assignment, select one of the following options.

· Option 1: Chronicle Adolf Hitler’s rise from failed art student to political speaker to eventually gain control over Germany.

· Option 2: Describe Benito Mussolini’s revival of European Imperialism in North Africa and how he came to be Adolf Hitler’s ally.

· Option 3: Chronicle the rise of extreme militarism in Japan and how it led them to conquer huge chunks of land in Asia and so many islands in the western Pacific basin, and how this led to their conflict with Great Britain and the United States

· Option 4: Describe Joseph Stalin’s rise to total power in the USSR and how his paranoia and desire for total control led to the terrible purges of the 1930s.

Writing Requirements (APA format)

· Length: 2-3 pages (not including title page or references page)

· 1-inch margins

· Double spaced

· 12-point Times New Roman font

· Title page

· References page

Grading
This activity will be graded using the W3 Case Study Grading Rubric.

Course Outcomes (CO): 2, 3

Rubric

Week 3 Case Study Grading Rubric

Part 2

Required Resources
No specific resources are required for this activity. Conduct general research and/or skim the textbook to help you select a topic.

Introduction
You will work on a research project for the duration of this course that you will deliver as a presentation in Week 8. For this project, select a person whom you believe had significant influence (positive or negative) on a movement for social, economic, and/or political change in the 20th and 21st centuries. Explore and address the following in your project:

· Summarize the person’s ideas.

· How did the ideas or changes affect the establishment and status quo?

· What was the context in which this person proposed ideas/change?

· How did the government or the people respond to the ideas/change?

· What sort of following or support did he/she have?

· How have the ideas/actions of the person influenced contemporary cultures and ideas?

For the final presentation, make sure to go beyond the surface information and go into depth about the person you are researching.

Here is a brief breakdown of the project so that you can plan your time in the course:

Instructions
For the assignment this week, address the following:

· State the topic.

· For the stated issue, identify at least three (3) aspects of the issue that you think you will likely develop in your presentation. Briefly state why you have chosen each aspect.

You are not confined to three aspects only, but you must develop at least three. As you develop your presentation, you may find other aspects that you deem more relevant, and you may add or substitute those.

Writing Requirements (APA format)

· Length: 1-2 paragraphs

· 1-inch margins

· Double spaced

· 12-point Times New Roman font

· Title page

· References page (as needed)

Grading
This activity will be graded using the W3 Course Project Grading Rubric.

Course Outcomes (CO): 2, 3, 5, 8

Rubric

Week 3 Course Project Grading Rubric

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2

Computer Science Professions and Lack of Jobs

Student’s Name

Institution Affiliation

Course Number

Instructor

Due Date

Computer Science Professions and Lack of Job

Introduction

A. Overview

Computer science has several professions, including web designer, software developer, computer scientist, computer hardware engineer, and engineer. The software developer occupation, also known as computer programming or coding, involves the creation of computer software. The software developer occupation is based on analyzing the users’ needs and designing and developing software that meets those needs. The engineers design, test, analyze, invent, and build structures, machines, machines, complex systems, materials, and gadgets to fulfil requirements and functional objectives considering the imposed limitations by cost, practicality, safety, and regulation (Demir et al.,2019). Computer science is a profession that involves using technology to solve a range of different problems. It involves working on things such as building software that enables robots and autonomous drones. Web designing or programming is an occupation that specializes in worldwide web development of applications through the client to server model. The main aim of this profession is to create and maintain websites. It also ensures the performance capacity of the websites. Computer hardware engineering involves designing, testing, researching , and developing systems of computers and components such as processors, routers, networks, circuit boards, and memory devices.

There is a lack of jobs for computer science professions. There have been poor prospects of employment for computer science graduates despite the tech skills shortage in the market and increase in IT jobs. Several people with bachelor’s and master’s degrees in computer science find it difficult to get a job in the IT industry. The rate of unemployment has increased to 7.8%. Even though most companies in the U.S claim to have a tech skills shortage, it is a contradictory situation because there are no employment opportunities for computer science professionals. Failure to have real-time practical experience makes most companies take approximately 50% longer for them to hire a candidate compared to other recruiters. This is because they seek to recruit highly qualified developers who have exceptional skills in coding.

B. Thesis Statement

Despite the claim by many companies to need tech skills, most computer science professional graduates have found it difficult to get employment. In short, there has been an increased lack of jobs for many computer science professionals in the market. Most companies have delayed recruiting an individual to take IT jobs in their companies for the desire of highly experienced software developer, web designer, engineer, computer hardware engineer, and computer scientist for this post.

Why The Tech Companies do Not hire Computer Science Professionals

There has been a lack of employment for computer science graduates even though tech companies exist and claim to need tech skills personnel. While other companies that deal with other professionals recruit more often, the tech companies take along to do recruitment. This is because they focus more on the hands-on skills experience than graduates’ theoretical knowledge (Huang et al.,2020).

The inflating computer science professionals’ unemployment and the reason the tech companies fail to hire them is influenced by some factors, including the outdated curriculum. The curriculum of computer science focuses on low-level programming. This curriculum teaches more fundamental and theoretical concepts without revision from one year to another. The students’ knowledge is confined because the curriculum is outdated and focuses on the general basics of programming. In this case, most computer science graduates only have fundamental knowledge of software development, algorithms, and computer language theory.

Lack of the right tech skills is another factor leading to unemployment in the computer science profession. IT technology is important over trending technologies, such as java web development, Big Data, automation, cloud computing, and machine learning. Many tech companies have preferences when recruiting, including the latest technologies usage proficiency. They prefer individuals who can use the new technologies compared to computer science graduates who have no IT projects and essential software development skills.

The fast technology evolution leads to a lack of employment for computer science professionals. There is an ever-changing environment that information technology provides and which goes on evolving every hour. There is a need to adopt an agile learning approach to sustain the changing settings because the traditional learning methods do not prepare students to cope with the technical sphere’s dynamic nature (Gao et al.,2019). Additionally, due to their limited scope of study, computer science professionals find it challenging to accommodate the technological changes.

Failure to have real-time experience also contributes to unemployment among computer science professionals. Practical experience is more significant in the IT sector than the theoretical knowledge that computer science graduates acquire. Employers will prefer to hire professionals who have real-time experience in AWS, Java, DevOps, Python, and MERN stack, among other modern frameworks. Therefore, computer science graduates need to get some field experience to meet the latest standards of hiring tech companies. The companies will forgo hiring a recent graduate for fear of risking their reputation through low-quality work provision.

Another factor affecting unemployment in the computer science professions is the access to ready-made IT talent from outsourcing. The tech companies’ employers tend to outsource efficient resources to bridge the IT skills gap, and this assists the companies to get skilled developers, which prompts actions without the need for training. This makes the computer science graduates who have no practice experience remain unemployed and increase their chances of not getting employed in their field of study for failure to get jobs where they can increase their experience. This makes them remain with the same theoretical skills they acquired in class hence limited chances of getting employment.

Hiring foreign workers on E-2, H1, and L-1, or even B1 visas is another factor influencing the lack of jobs for computer science professionals. Top companies such as Amazon, Deloitte, and Microsoft hire foreign employees by getting E-2, H1B, L-1, and B1 visas. In the U.S, IT companies globally employ the best talent regardless of nationality to stay competitive. This means that the local computer science professionals end up losing their chances of developing their skills and experience and getting employment (Wang & Siau,2019). The department of labour for the U.S projects that by the end of 2020, approximately 1.4 million computer specialist jobs will be created. Still, out of these job positions, 29% of them will be occupied by U.S universities graduates, whereas the remaining will be occupied by the shortage filled by the foreign tech talent.

My viewpoint on the unemployment for computer science graduates due to lack of up-to-date tech skills is that the outdated curriculum that does not equip them with practical learning experience should be revised. The new necessary elements will lead to proper equipment with skills included. Failure to employ computer science graduates because of a lack of necessary skills is not a solution to the growing IT sector. Instead of hiring talents from foreign nationalities, they would rather create training programs for interns to give experience to the computer science graduates and to shape them up for roles in their company. Hiring skilled labour from outside is more expensive than training the computer science graduates and turning them into skilled labour.

Conclusion

A. Brief Summary of the Main Points of the Essay

The tech companies provide candidates with the proper knowledge and skills thousands of opportunities. There is a need for computer science graduates to rise above average learners and gain practical skills to get employment. A upskill program is required for acquiring necessary skills by the tech aspirants for them to cope with the IT sector’s ever-changing environment. The outsourcing of skilled IT personnel leaves the young graduates in a desperate condition with no hope of getting employed. The outdated curriculum only prepares graduates with theory and produces individuals who are not fully equipped for job roles in Tech companies or the IT sector in general (Huang et al.,2020). Unemployment is also related to the ever-changing environment of the IT sector, where the computer science graduates lag with the ancient knowledge as the new skills and technologies in the IT sector advance. The programs to equip the graduates with the new skills and technologies should be laid to ensure they remain up to date and fit for employment.

B. Drawing of the Conclusions Based on the Essay

Training the graduates of computer science and supporting them to catch up with new technologies in the IT sector would be necessary because, in future, this would reduce the cost of hiring foreign talents in IT. The training will raise some IT talents, which will reduce the cost of employment in the IT sector and improve the country’s economy. Outsourcing of talents will help the tech company to grow for a while. Still, continued action of outsourcing will leave the country with fewer or no experienced IT professionals since that is likely to raise the country’s cost of employment and put it at risk for failure if the outsourced employees fail to cooperate.

References

Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia computer science, 158, 688-695.

Gao, K., Cao, Z., Zhang, L., Chen, Z., Han, Y., & Pan, Q. (2019). A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems. IEEE/CAA Journal of Automatica Sinica, 6(4), 904-916.

Huang, J., Gates, A. J., Sinatra, R., & Barabási, A. L. (2020). Historical comparison of gender inequality in scientific careers across countries and disciplines. Proceedings of the National Academy of Sciences, 117(9), 4609-4616.

Wang, W., & Siau, K. (2019). Artificial intelligence, machine learning, automation, robotics, future of work and future of humanity: A review and research agenda. Journal of Database Management (JDM), 30(1), 61-79.

1. Introduction: The introduction is where readers will have a chance to get an idea of what your essay will be about and what you will prove throughout. Do not go into too much detail here but give readers a preview of what is to come. Remember to review your writing plan to ensure that you are briefly hitting the key points you planned to cover while also stating your claim.

A. Provide an overview of the issue you have selected by briefly describing the main points and your argument.

B. Compose a thesis that states the argument that you will attempt to prove and support throughout your essay. This statement will give direction to your essay and should be well thought out.

2. Body: The body is your opportunity to describe and support your argument in depth. Make certain your thoughts and evidence are clear and organized in a way that is easy for readers to follow and understand.

A. Ensure that you write multiple focused paragraphs, clearly state their main idea, and move logically from one to the next, building the thesis argument as the essay progresses.

B. Your body paragraphs should support your argument by purposefully combining ideas with evidence from sources. The key to a persuasive essay is how well it is supported with quality evidence.

C. Address and refute at least one opposing viewpoint to your argument, which is your chance to discredit a significant opposing view and strengthen your argument in the process.

3. Conclusion: Think of the conclusion as a review of your argument. Use this section to restate your argument and remind readers of your supporting evidence. This paragraph is your last chance to persuade readers to agree with you.

A. Briefly summarize the main points of your essay. This section should consist of a brief review of your main ideas.

B. Draw conclusions based on your evidence.

i. Use evidence that you have found to wrap up the essay in a meaningful way that makes a connection to your audience.

Before you begin, make certain you have:

· Selected three sources from the library database

· At least one source that presents an opposing viewpoint, a position that an opponent of your argument might make

· Applied the C.R.A.A.P.O. test to the sources to determine if they are credible and reliable (Remember, credible sources should score 35 points or more on the test)

Specifically, you must address the following rubric criteria for each of your three sources:

1. Identify the source by including the author, the title, and the database information.

2. Summarize the source. (Explain the main idea, the details or evidence that support the main idea, and the description of if your source supports your argument or an opposing viewpoint.)

3. Explain why the source is credible. The C.R.A.A.P.O. test will help; use the C.R.A.A.P.O. Test Worksheet linked in the Supporting Materials Section to see how the source scores.

4. Explain how the source supports at least one key point or opposing viewpoint from your argument

The C.R.A.A.P.O. Test Worksheet

The following questions will help you determine whether your source is reliable. First, answer each of the questions for each category below. Once you have responded to each question in a category, assign the category a numerical score between 1 and 10 with 1 meaning the source does not meet the category’s criteria at all and 10 meaning the source meets the category’s criteria excellently. Then add up the scores to determine whether the source passes the (C.R.A.A.P.O.) test!

Source Title:

Category 1: Currency Category 1 Score:

· When was the source published?

· Has the information been revised or updated since?

· Is the information current or out-of-date?

Scoring Notes:

0–3: The information in the source is no longer fully accepted by professionals in the field; the information is no longer accurate today; the information is old enough that it is no longer convincing (especially the statistics and the financial data). If the source is in a rapidly changing field (technology, medicine, etc.), the source was published more than ten years ago.

4–6: The theoretical content of the source is still accurate, but the statistics or financial data are no longer relevant or updated enough to be convincing. If the source is in a rapidly changing field (technology, medicine, etc.), the source was published within the last six to ten years. There have been significant changes in the field since the source was published.

7–10: The information in the source is still accepted by professionals in the field; the information is still accurate today; the information is recent enough to still be relevant (especially the statistics and the financial data). If the source is in a rapidly changing field (technology, medicine, etc.), the source was published within the last five years.

Category 2: Relevance Category 2 Score:

· Does the information relate to your project?

· Have you looked at a variety of other sources? Do other sources meet your needs more effectively?

· Who is the intended audience of the source?

Scoring Notes:

0–3: The source is on the general topic but does not directly support any key points. The source is written for an audience that is not relevant to this assignment (for example, it is written for elementary school students or people in another country).

4–6: The source indirectly supports a key point and may include one or two helpful pieces of evidence. The source is written for an audience that is partly relevant to this assignment.

7–10: The source directly supports a key point and includes specific pieces of evidence that can be used in the essay. The source is written for an audience that is relevant to this assignment.

Category 3: Accuracy Category 3 Score:

· Do evidence and references support the information?

· Has the information been peer-reviewed?

· Is the source professional in appearance and free of errors?

Scoring Notes:

0–3: The source includes no sources or poor sources (blogs, Wikis, etc.). Citations are missing or are confusing. The source includes citation errors. The grammar, spelling, or punctuation are confusing or inconsistent. The source is not formatted professionally and/or contains advertisements.

4–6: The source cites evidence from popular sources (newspapers, organization’s websites, etc.). Citations are present. The source is easy to read and has a neat appearance.

7–10: The source cites evidence from peer-reviewed sources. The source includes enough evidence to support its main points. The source uses a formal documentation style accurately. Grammar, punctuation, spelling, and citation conventions are adhered to.

Category 4: Authority Category 4 Score:

· Who is the author?

· What are the author’s credentials or organizational affiliations?

· Does a reputable organization publish the source?

Scoring notes:

0–3: No author is listed, or the author has little knowledge on the topic. The source is published by an unknown or questionable organization (one that is known to hold a bias; one that is known for inaccurate information, etc.).

4–6: The author is listed and has some knowledge of the topic, but the author is not an expert in the field. A reputable organization or institution published the source.

7–10: The author is an expert in the field. The source is published in a scholarly publication that has undergone the peer-review process.

Category 5: Purpose and Objectivity Category 5 Score:

· What is the author’s purpose? To inform? Persuade? Entertain?

· Is the information fact or opinion?

· Does the point of view seem to be objective or biased?

Scoring Notes:

0–3: The author’s purpose is to entertain. The author’s purpose is irrelevant to your purposes (for example, they explain a process, and you need data to help convince readers). The information presented includes only opinions. The author does not consider multiple viewpoints. The author has an underlying agenda.

4–6: The author’s purpose may be to inform or to persuade. The author includes some facts and evidence but relies heavily on opinion. The author does not have overt biases, but some implicit biases are detected. Multiple viewpoints are considered but not thoroughly, fairly, and accurately.

7–10: The author’s purpose may be to inform or to persuade. The author relies on logic, facts, and evidence and writes from an objective viewpoint. The author has no detectable biases. The author considers multiple viewpoints fairly and accurately.