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Beginning of the Report on the Communication in My Field of Study

Name: Garlin Saintice

1. This is the program I am studying:

Computer Science.

2. Here are some ways I learned about professionals in my field:

I used a variety of online tools to keep up with the latest computer science trends and

changes. For example, I used LinkedIn to connect with various computer science

professional from my locality. I viewed the content they made. I used Twitter to get real-

time news and quick thoughts. This (Twitter) I did by following important people and

relevant hashtags. GitHub was also a great place where I looked at other people's code

and learn from their projects. I read blogs (PC world) and specialized magazines

(WIRED) from professionals who shared their thoughts and experiences regarding

computer science career. Also, podcasts and workshops have become a regular part of

my life because they give me deep insights into the experiences of experts in the field.

For example, I learned and continue to learn from the podcast “Deep Questions with Cal

Newport.” I like his teachings, especially his book “Deep Work” (recommended from the

podcast) that shares concepts of how one can learn ins and outs of a subject and create

meaningful projects. He gives examples of some computer scientists that used these

concepts, whom I follow and also learn from.

3. I used this Artificial Intelligence (AI) tool:

ChatGPT

4. Here is what this AI tool said when I asked “What writing style do professionals in

my field use?”

“Computer scientists typically use a formal and precise writing style characterized by clarity, conciseness, and technical accuracy. The writing style in computer science is tailored to convey complex technical concepts and information in a way that is easily understandable to other experts in the field. Here are some key features of the writing style commonly employed by computer scientists:

1. Technical Precision: Computer science writing emphasizes precision in language to ensure that concepts and ideas are accurately communicated. Specific technical terms and jargon are used to convey information with exactness.

2. Structured Format: Research papers, technical documentation, and academic publications in computer science generally adhere to a structured format. This often includes sections like abstract, introduction, literature review, methodology, results, discussion, and conclusion.

3. Code Integration: Computer scientists frequently include code snippets, algorithms, and examples in their writing to illustrate concepts and provide practical implementations. Code is often presented in a consistent and readable format.

4. Visual Aids: Diagrams, charts, graphs, and other visual aids are commonly employed to enhance understanding. Visual elements help in conveying complex algorithms, architectures, and relationships more effectively.

5. Citation Practices: Proper citation of sources and references is crucial in computer science writing. Citations provide a foundation for the presented work, acknowledge prior research, and allow readers to trace the origins of information.

6. Conciseness: Computer science writing values brevity and clarity. Unnecessary verbosity is avoided, and information is presented in a concise manner to keep the reader focused on key concepts.

7. Active Voice: The use of the active voice is often preferred to clearly attribute actions and responsibility. Passive voice is minimized to maintain directness and clarity.

8. Objective Tone: Writing in computer science maintains an objective and formal tone. Emotionally charged language is generally avoided, and arguments are presented logically and objectively.

9. Problem-Solution Approach: Many computer science documents follow a problem- solution approach. They begin by presenting a problem or research question, followed by the methodology and results leading to a conclusion.

10. Peer Review: Due to the nature of academic and research-focused communication, computer science writing often undergoes rigorous peer review. This process ensures the quality, accuracy, and validity of the presented information.

In summary, the writing style in computer science is tailored to effectively communicate technical information, utilizing a combination of technical precision, structured formats, visual aids, and a formal tone to ensure clarity and accuracy within the discourse community.”

5. Here are My tips for communicating with professionals in my field (a combination

of my observations and the information I got from the AI tool)

Based on my research into the computer science discourse community and what I

learned from the AI tool, especially about how people write in the field, I've come up with

some specific tips for how to talk to professionals effectively:

a) Different Online Tools: It's important to use a variety of online tools. I use

LinkedIn to connect with computer science professional. To make real

connections, I interact with their material. I get news in real time on Twitter by

following relevant hashtags. GitHub is a great place to look at code that other

writers have written, which can help in understanding how different projects work.

b) Consumption of Content: I read blogs (like PC World) and specific mags (like

WIRED) that are written by computer science experts. These sites give a unique

look into what they think and have done in their computer science jobs.

c) Podcasts: Podcasts are very important to me because I'm always learning. For

instance, the podcast "Deep Questions with Cal Newport" gives a lot of

information about what computer science experts have been through.

d) Professional Development: It's important to keep up a professional appearance.

When I talk to people in the computer science field, I use correct and proper

language and don't use slang or bad language. Reading books and articles from

reliable companies or groups on a regular basis helps me figure out how serious

or relaxed to be in different situations.

These suggestions, from ChatGPT recommendation and my research, might be helpful

to those interested in the field of computer science. We may improve our communication

that is necessary for success in Computer Science career.