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Write an email (100- 120 words) to your friend about your study at university.

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Write an email (100- 120 words) to your friend about your study at university.

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https://drive.google.com/file/d/1Q9pdQRP-O0JdiHJPZlTGpbnGUo1r9Lst/view?usp=sharing

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You are a mechanical engineer of a company. Write an email (100 - 120 words) to a store/workshop to order a machine tool based on the information from this table.

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You are a mechanical engineer of a company. Write an email (100 - 120 words) to a store/workshop to order a machine tool based on the information from this table.

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Subject: Ordering a Machine Tool

Dear Store/Workshop,

I am writing to place an order for 2 CNC milling machines, model 200 MC 6453 No 67398, priced at $50,489 each. We have reviewed the product on your website and believe it will be instrumental in cutting flat metal surfaces and improving our processing speed.

We request delivery by November 8 to HJB Company, 56 River Street, London, UK. Payment will be made in cash upon delivery.

Looking forward to a prompt response and swift business transaction.

Best regards,

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Look at the technical drawing of the machine part (a lathe shaft) and the inspector’s measurement on the real product. Write a report (100- 120 words) and decide whether the shaft is accepted or rejected.

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Look at the technical drawing of the machine part (a lathe shaft) and the inspector’s measurement on the real product. Write a report (100- 120 words) and decide whether the shaft is accepted or rejected.

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The technical drawing of the lathe shaft specifies the following dimensions:

Length: 50±0.25 mm

Diameter: 5±0.025 mm

Hole Depth: 10±0.25 mm

The inspector’s measurements on the actual product are as follows:

Length: 50.40 mm

Diameter: 6.015 mm

Hole Depth: 10.12 mm

Analysis:

1. Length: The measured length exceeds the tolerance (50.40 mm vs. 50±0.25 mm). This discrepancy is significant.

2. Diameter: The diameter is within tolerance (6.015 mm vs. 5±0.025 mm).

3. Hole Depth: The measured hole depth significantly exceeds the tolerance (10.12 mm vs. 10±0.25 mm).

Conclusion: Given the critical dimensions being out of specified tolerances, this lathe shaft should be rejected to ensure quality and performance standards.

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Write an email (100- 120 words) to your friend about your study at university.

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Write an email (100- 120 words) to your friend about your study at university.

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I hope this email finds you well! 🌟

Majoring in: I’m currently majoring in Computer Science. It’s been an exciting journey diving into algorithms, programming languages, and software development.

Skills Learned: At university, I’ve honed my coding skills, learned to collaborate in teams, and gained a deeper understanding of problem-solving. The practical projects have been invaluable.

Opportunities: University has opened doors to internships, networking events, and industry connections. I’ve had the chance to attend tech conferences and meet professionals in the field.

Challenges: Balancing coursework, part-time jobs, and personal life has been tough. Sometimes, the workload feels overwhelming.

Dealing with Challenges: I’ve learned to manage my time effectively, seek help when needed, and stay motivated. Friends and professors have been a great support.

Favorite Part: The best part? The intellectual stimulation! Every day, I discover something new, and that’s what keeps me going.

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Make a short video (1 - 3 minutes) to talk about the following situation:

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Make a short video (1 - 3 minutes) to talk about the following situation:

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https://drive.google.com/file/d/1ESSpc8wB9x69QyCQ3IUrjmwzo0jTfdJu/view?usp=sharing

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Look at the chart and write a paragraph (100- 120 words) about the classification of materials based on the following suggested questions.

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Look at the chart and write a paragraph (100- 120 words) about the classification of materials based on the following suggested questions.

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The classification of materials is a fundamental aspect of engineering that dictates the selection process for various applications. Materials are broadly categorized into metals and non-metals. Metals, known for their conductivity and strength, are divided into ferrous and non-ferrous types. Ferrous metals, like steel and cast iron, contain iron and are magnetic, whereas non-ferrous metals, such as copper, aluminum, and bronze, do not. Non-metals include ceramics and plastics. Ceramics are hard and brittle, used in applications requiring heat resistance. Plastics are classified as thermoplastics or thermosets; thermoplastics can be reshaped with heat, while thermosets maintain their form once set. This classification helps engineers determine the most suitable material based on properties like strength, flexibility, and thermal conductivity.

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Write a short email (100- 120 words) to report current design process based on the following note.

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Write a short email (100- 120 words) to report current design process based on the following note.

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I’m pleased to share our progress on the design project. We’ve completed the preliminary designs and sketches, a significant step forward. Our focus this week is the feasibility study, which will guide our subsequent actions.

Please be reminded that the detailed designs are pending and are expected to be finalized by month-end, ahead of our client meeting. Your commitment is crucial as we advance through this phase.

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Write a paragraph (100-120 words) to describe your robot based on the questions.

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Write a paragraph (100-120 words) to describe your robot based on the questions.

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1. Central Processing Unit (CPU): The brain of TechBot 3000, responsible for decision-making, data processing, and executing commands.

2. Visual Sensors: Equipped with high-resolution cameras, these sensors allow TechBot 3000 to perceive its surroundings, recognize objects, and navigate autonomously.

3. Robotic Arms: Two articulated arms with precision grippers enable TechBot 3000 to manipulate objects, perform delicate tasks, and assist in assembly processes.

4. Laser Rangefinder: Mounted on its top, this sensor measures distances accurately, aiding in obstacle avoidance and mapping.

5. Speech Synthesizer and Microphone Array: TechBot 3000 communicates verbally with users, responds to voice commands, and can engage in natural language conversations.

6. Wheels: Four omnidirectional wheels provide smooth mobility in any direction, making it agile and adaptable.

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Write a short paragraph (100 -120 words) about an experience when you had a problem with a machine that you worked with.

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Write a short paragraph (100 -120 words) about an experience when you had a problem with a machine that you worked with.

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Once, while working on a critical report, my computer suddenly froze. It was late at night in my home office, the deadline looming just hours away. The cause was a hard drive failure, likely due to its old age and constant use. Panicked, I rebooted in safe mode and ran a disk check, which seemed to temporarily fix the issue. I managed to save my work on a USB drive. Although relieved, I felt frustrated about the potential data loss and the reminder of technology’s unpredictability. The solution was a stopgap, prompting me to upgrade my equipment to avoid future disruptions.

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Write a paragraph (100- 120 words) about your ideal job in the future based on suggested questions.

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Write a paragraph (100- 120 words) about your ideal job in the future based on suggested questions.

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My Ideal Job: Data Scientist at a Cutting-Edge Research Lab

1. Job Involvement:

As a data scientist, my work would revolve around extracting meaningful insights from large datasets. I’d analyze trends, build predictive models, and create visualizations to communicate findings.

Collaborating with cross-functional teams, I’d tackle complex problems related to machine learning, natural language processing, and computer vision.

My job would involve staying up-to-date with the latest advancements in data science and applying them to real-world challenges.

2. Qualifications and Skills:

A strong foundation in mathematics, statistics, and programming is essential. I’d need proficiency in languages like Python or R.

A master’s or Ph.D. in a relevant field (such as computer science, statistics, or applied mathematics) would be advantageous.

Expertise in machine learning algorithms, feature engineering, and model evaluation is crucial.

3. Required Qualities:

Curiosity: I’d need to explore data deeply, ask insightful questions, and experiment with different approaches.

Analytical Thinking: Solving complex problems requires breaking them down logically.

Communication: I’d need to convey findings to both technical and non-technical stakeholders.

4. Benefits:

Working Hours: A balanced work-life schedule, allowing time for personal pursuits.

Salary: Competitive compensation reflecting my expertise and contributions.

Bonus: Performance-based bonuses tied to project success.

Intellectual Stimulation: Engaging with cutting-edge research and collaborating with brilliant minds.