#PhD in software testing

[andmaybegayer]

Rambling: So much of this is just like. It's all the money, you can't get around the money. Engineering is primarily a cost optimisation problem, so is business, where do you buy your parts, how much do you pay your labour. The companies can make equal quality goods cheaper in China because of the industrial base. Western workers don't want to work in manufacturing because it doesn't pay as much or as reliably as other jobs.

I like reading articles and watching videos about factories and a thing you find with a lot of American factories is they're often highly specific niche industries where they don't have much competition or they're really low volume where less intensive manufacturing processes still work or they have big military contracts that give them their base income. Really it's wild how every little engineering shop in the US requires base level security clearance because they make the cable harness for the Hornet or whatever. And crucially, crucially: they employ 100 people. Planning to work for one of these companies is like planning to be a pro baseball player but you make $35/hr.

I studied in South Africa, and I studied electrical engineering, but like. That was my fifth or sixth choice from a personal interest perspective? As a teenager I was really into biochem. I really wanted to work on like. Bioreactor stuff. South Africa has okay industrial chemistry but not that much biochem. So why would I go spend five years getting a biochem Masters and hope I could find a job at one of like six companies. It's a bad move! Once again, baseball player odds! Mostly if you're lucky you'll get to fuck around in a half-related field for a few years and then you'll wind up with some office job that you found because it turns out running tests on paint shearing isn't personally fulfilling enough to make you stay in a lab job.

Hell, even taking the Good Hiring Engineering Job market, it's a goddamn pain in the ass to find any actual engineering work. I applied to dozens of internship positions every semester at engineering firms and workshops and never so much as heard back, whereas I could go to the software job fairs and get two offers and several interviews for a vacation job in a couple weeks. You can swim upstream to get in there but even if you're willing to take the pay cut, engineering jobs are slow moving and slow hiring, and in small departments your professional progression is often gated behind someone retiring or dying.

A while ago someone (was this Reggie? sounds like him EDIT: YEP) was talking about how part of the reason why no one in the US for the past 20 years can do like, epitaxial growth optimisation isn't because there's some philosophical or educational divison, but because anyone committed and driven enough to spend months optimizing that would just put that energy and commitment into going into software or becoming a quant or some other higher yield option. Meanwhile if you're a driven and focussed ladder climber in China there's dozens of factories looking for someone to do exactly this. The people in the West who are so into this that they still do it are often in academia, not industry, and that's an even more competitive and impenetrable sector to get into. Getting a PhD grad job in academic chip manufacturing is miserable, it's basically a six year long interview process that costs you hundreds of thousands of dollars that has a 0.1% chance of panning out.

Actually, I did once do a factory internship, it was my only nepotism internship, at a construction materials factory where my dad was a manager, and it was really interesting work! I had a lot of freedom in a small engineering team and I spent a while understanding a bag filling machine and reading manuals and tuning the control process and talking to floor workers and designing sheet metal parts to improve their jobs. And when I talked to the engineer supervising me I found out he was on a six month contract that wasn't getting renewed and he would be leaving the company basically the same time my internship ended. That company hadn't hired a full-time process engineer in ages, and probably never would if they could avoid it. Not encouraging!

People often say you should get into the trades because they pay well and are material fulfilling work. This is like. It's an elision. Successful tradespeople are in very high demand, but becoming a successful tradesperson is very, very finicky. I worked with a lot of electricians and millwrights and technicians, and for every tech who was successful and running a roaring business there were five guys stuck in eternal apprenticeships or struggling to make a name for themselves in the industry on their own. Some trades are great for this, other trades are 90% training scams where you spend nine months and five thousand dollars on a course that gives you a certificate almost no one cares about.

Every now and then I talk to an installation tech I used to work with who has a bunch of CCTV and security certs he got in the DRC, and he is just absolutely struggling to get by. There's already enough successful companies to serve the demand, why would you take a risk on this fly-by-night? He could find a technical job, and he does, but it's a dead end, everyone wants a base technician forever, they don't want you to upskill and move on. They hire in an external electrician to come in for an hour sign off on your work, and that's all you need.

You can't develop an industrial base unless it's appealing to work in the industrial base. If you're an industrialising nation, the appeal is "It's not farm work and you might get some real money instead of a sack of barley" but in a modern society you need to pay at least as well as the office jobs. If your industrial sector is small it can afford to only hire the most qualified people because it's a labour buyer's market, and that's how you produce a massive knowledge gap.

[mariacallous]

Arvind Narayanan, a computer science professor at Princeton University, is best known for calling out the hype surrounding artificial intelligence in his Substack, AI Snake Oil, written with PhD candidate Sayash Kapoor. The two authors recently released a book based on their popular newsletter about AI’s shortcomings.

But don’t get it twisted—they aren’t against using new technology. “It's easy to misconstrue our message as saying that all of AI is harmful or dubious,” Narayanan says. He makes clear, during a conversation with WIRED, that his rebuke is not aimed at the software per say, but rather the culprits who continue to spread misleading claims about artificial intelligence.

In AI Snake Oil, those guilty of perpetuating the current hype cycle are divided into three core groups: the companies selling AI, researchers studying AI, and journalists covering AI.

Hype Super-Spreaders

Companies claiming to predict the future using algorithms are positioned as potentially the most fraudulent. “When predictive AI systems are deployed, the first people they harm are often minorities and those already in poverty,” Narayanan and Kapoor write in the book. For example, an algorithm previously used in the Netherlands by a local government to predict who may commit welfare fraud wrongly targeted women and immigrants who didn’t speak Dutch.

The authors turn a skeptical eye as well toward companies mainly focused on existential risks, like artificial general intelligence, the concept of a super-powerful algorithm better than humans at performing labor. Though, they don’t scoff at the idea of AGI. “When I decided to become a computer scientist, the ability to contribute to AGI was a big part of my own identity and motivation,” says Narayanan. The misalignment comes from companies prioritizing long-term risk factors above the impact AI tools have on people right now, a common refrain I’ve heard from researchers.

Much of the hype and misunderstandings can also be blamed on shoddy, non-reproducible research, the authors claim. “We found that in a large number of fields, the issue of data leakage leads to overoptimistic claims about how well AI works,” says Kapoor. Data leakage is essentially when AI is tested using part of the model’s training data—similar to handing out the answers to students before conducting an exam.

While academics are portrayed in AI Snake Oil as making “textbook errors,” journalists are more maliciously motivated and knowingly in the wrong, according to the Princeton researchers: “Many articles are just reworded press releases laundered as news.” Reporters who sidestep honest reporting in favor of maintaining their relationships with big tech companies and protecting their access to the companies’ executives are noted as especially toxic.

I think the criticisms about access journalism are fair. In retrospect, I could have asked tougher or more savvy questions during some interviews with the stakeholders at the most important companies in AI. But the authors might be oversimplifying the matter here. The fact that big AI companies let me in the door doesn’t prevent me from writing skeptical articles about their technology, or working on investigative pieces I know will piss them off. (Yes, even if they make business deals, like OpenAI did, with the parent company of WIRED.)

And sensational news stories can be misleading about AI’s true capabilities. Narayanan and Kapoor highlight New York Times columnist Kevin Roose’s 2023 chatbot transcript interacting with Microsoft's tool headlined “Bing’s A.I. Chat: ‘I Want to Be Alive. 😈’” as an example of journalists sowing public confusion about sentient algorithms. “Roose was one of the people who wrote these articles,” says Kapoor. “But I think when you see headline after headline that's talking about chatbots wanting to come to life, it can be pretty impactful on the public psyche.” Kapoor mentions the ELIZA chatbot from the 1960s, whose users quickly anthropomorphized a crude AI tool, as a prime example of the lasting urge to project human qualities onto mere algorithms.

Roose declined to comment when reached via email and instead pointed me to a passage from his related column, published separately from the extensive chatbot transcript, where he explicitly states that he knows the AI is not sentient. The introduction to his chatbot transcript focuses on “its secret desire to be human” as well as “thoughts about its creators,” and the comment section is strewn with readers anxious about the chatbot’s power.

Images accompanying news articles are also called into question in AI Snake Oil. Publications often use clichéd visual metaphors, like photos of robots, at the top of a story to represent artificial intelligence features. Another common trope, an illustration of an altered human brain brimming with computer circuitry used to represent the AI’s neural network, irritates the authors. “We're not huge fans of circuit brain,” says Narayanan. “I think that metaphor is so problematic. It just comes out of this idea that intelligence is all about computation.” He suggests images of AI chips or graphics processing units should be used to visually represent reported pieces about artificial intelligence.

Education Is All You Need

The adamant admonishment of the AI hype cycle comes from the authors’ belief that large language models will actually continue to have a significant influence on society and should be discussed with more accuracy. “It's hard to overstate the impact LLMs might have in the next few decades,” says Kapoor. Even if an AI bubble does eventually pop, I agree that aspects of generative tools will be sticky enough to stay around in some form. And the proliferation of generative AI tools, which developers are currently pushing out to the public through smartphone apps and even formatting devices around it, just heightens the necessity for better education on what AI even is and its limitations.

The first step to understanding AI better is coming to terms with the vagueness of the term, which flattens an array of tools and areas of research, like natural language processing, into a tidy, marketable package. AI Snake Oil divides artificial intelligence into two subcategories: predictive AI, which uses data to assess future outcomes; and generative AI, which crafts probable answers to prompts based on past data.

It’s worth it for anyone who encounters AI tools, willingly or not, to spend at least a little time trying to better grasp key concepts, like machine learning and neural networks, to further demystify the technology and inoculate themselves from the bombardment of AI hype.

During my time covering AI for the past two years, I’ve learned that even if readers grasp a few of the limitations of generative tools, like inaccurate outputs or biased answers, many people are still hazy about all of its weaknesses. For example, in the upcoming season of AI Unlocked, my newsletter designed to help readers experiment with AI and understand it better, we included a whole lesson dedicated to examining whether ChatGPT can be trusted to dispense medical advice based on questions submitted by readers. (And whether it will keep your prompts about that weird toenail fungus private.)

A user may approach the AI’s outputs with more skepticism when they have a better understanding of where the model’s training data came from—often the depths of the internet or Reddit threads—and it may hamper their misplaced trust in the software.

Narayanan believes so strongly in the importance of quality education that he began teaching his children about the benefits and downsides of AI at a very young age. “I think it should start from elementary school,” he says. “As a parent, but also based on my understanding of the research, my approach to this is very tech-forward.”

Generative AI may now be able to write half-decent emails and help you communicate sometimes, but only well-informed humans have the power to correct breakdowns in understanding around this technology and craft a more accurate narrative moving forward.

[reedsofintimacy]

How smart are you? You’ve given some hints before but how many degrees do you have? What are you studying? What do you want to do in live professionally and passionately? What’s your purpose career wise?

Also hypothetically would you be open to being your wives employee if she had a really successful company?

I actually don't have any degrees! I'm a nerd and smart but also certainly have my flaws.

For context, I was an honors student all growing up. Always tested in the 99th percentile for state aptitude assessments. I got a 33 on my ACT, did well on a bunch of AP tests and went to a non-ivy-league but prestiguous state school in the top 25% of the incoming class and as a university scholar, in an accelerated chemistry PhD program, and lived in an honors community on campus.

I learned to speak some Chinese, became an instructor for a traditional Korean percussion group, led a bible study, tutored students in organic chemistry, and did excellent in my humanities courses writing on topics like a linguistic study of gender conception in viking-era icelandic society and designing an interventional plan to address youth homelessness in the community.

College was the best 2 years of my life, I adored everything about it but I also completely overloaded myself. Turns out you need more than raw brains for success. I was conflicted between prioritizing my studies vs my faith, and had unadressed adhd and anxiety i wasnt ever aware of and didnt know how to cope with. When my 19 credit hours were drowning me, I couldnt own up to the shame of overwhelm and failure, couldnt look my teachers in the eye and ultimately stopped showing up to class and dropped out.

I'm now back in school with a better understanding of myself, an absense of competing priorities and a lot of experience. Im pursuing working in Radiology doing either CT or MRI. A lot of my friends growing up are finishing their PhD theses and I love discussing them with them, but I myself don't have even an associate's to my name.

Career wise, I originally wanted to be a professor of either Chemistry or Materials Science. I debated majoring in Linguistics or teaching English as a second language but i don't speak anything fluent enough to really do that yet. I've since considered pursuing a career in comedy, as a science communicator and journalist or PIO, as a university student advisor, and taught myself to code to maybe pursue programming.

I love learning. Currently I'm putting the most effort into Chinese classical literature. I've done personal units on nutrition, skincare, fitness, urban planning, economics, and some software like adobe illustrator and game dev with Unity and Godot.

For my professional future, I think I'm for now planning on being a travelling technician in healthcare. It'd give me an opportunity to see lots of different places which is a goal of mine and shouldn't have too many commitments keeping me held in place. Maybe I'll finally get over my fear of casual hookups and become a traveling nurse by day and city-to-city clit servicer by night sampling all sorts of delicious lady bits. Idk. For now I'm just focused on what I'm doing in the moment.

In terms of passions I want time and independence to pursue learning as an autodidact. I'd love to maintain access to university libraries and attend lots of public lectures and symposiums if i could live near enough a big university. I want to read about the things that interest me and someday get over my social anxiety and travel to make friends all over the world with fellow nerds.

In terms of working for my wife of course that would be really sexy I'd love to be my partners doting but slutty assistant 💕 depending on the industry i guess. I think something like insurance or real estate is kind of predatory tbh and wouldnt want to be associated with it. But if I didn't have an issue with it I'd adore being my partners employee. Or even just a supportive house husband or trusted personal assistant ❤️❤️ a role i've always thought I have the potential to be quite good at

[roguesynapses]

I recognize that url.

Sinneslochen was a West German software company made up of immigrants and refugees from East Germany and other Eastern Bloc states does not exist and never existed.

Sinneslochen primarily did outsource labor for larger European and American companies in the late 1970s and early 1980s, much of which involved German versions of office software and bugchecking/fixing was part of an elaborate hoax made by Kurt Koller, owner of the arcade game archiving website coinop.org.

Polybius was Sinneslochen's first video game, utilizing the profits generated from their outsourced work to make a puzzle-action "thinking game" game featuring an advanced hardware suite, simulating vector graphics on a raster display, allowing for increased backgrounds. The game was directed by Dr. Ygor Euspanese, a Ukrainian computer scientist. was a viral hoax created in the early 2000s, describing an early 1980s video game that supposedly caused headaches and other negative side affects in players, and was watched by US federal agents, before disappearing entirely.

Polybius was sent to several test markets in the USA, especially in the Pacific Northwest. Those who played the game near universally reported headaches and difficulty focusing for hours afterwards, with some players who got farther into the game reporting extremely disturbing "nightmares", seizures, and even limited precognition for a period of time. Reportedly, gameplay sessions and machines were monitored by NSA and DIA agents, with some players who made several levels into the game being interviewed by said agents and never returning. never existed. It was a hoax created by Kurt Koller to increase traffic to coinop.org, gaining popularity after appearing in an issue of Game Informer magazine.

Ygor Euspanese, PhD, emigrated to the United States following the test release and subsequent abandonment of Polybius, along with several Sinneslochen programmers. Several former Sinneslochen employees testify that Dr. Euspanese insisted on creating the game, pressuring the other staff of Sinneslochen to abandon other projects and engage in the game fully. They state that Dr. Euspanese had an almost manic obsession with the idea of ESP and "psychic abilities", and made the game in an effort to unlock the "psychic potential" of players. Nearly all of Sinneslochen's capital was spent on creating approximately 15 test cabinets, and with no ability to find a publisher and the departure of Euspanese and other programming staff, Sinneslochen was forced to dissolve in early 1982. The whereabouts of Euspanese after arriving in the US are currently unknown, though it is rumored he and his staff have been working on several US Government black projects is an anagram of Rogue Synapse, an amateur game developer who has a passion for making fan recreations of games that have appeared in popular movies and other media. He made a fangame of Polybius in the early 2010s. It is also the name of a very minor poster on tumblr, with several unoriginal ideas.

Polybius is highly sought after by arcade enthusiast and several local police authorities, as it is supposedly linked to several unexplained phenomena and cold cases throughout the United States. It is widely believed, however, that every copy of Polybius was either sent back to Germany and destroyed, or seized by the US Federal Government and are kept in unknown location(s). does not exist, and never existed, except as a story, and in that form, it always will exist.

[educationtech]

Top Technical Skills for Electronics Engineer Resume in 2024

Electronics and Communication Engineering (ECE) offers a wide array of career opportunities due to its interdisciplinary nature, combining principles from electronics, telecommunications, and computer science. Here are the top 15 career options for graduates in this field:

1. Telecom Engineer

Telecom engineers design and manage communication systems, including optical fibers, microwave transmission, and IP networks. They analyze existing technologies and develop new solutions to enhance communication reliability and efficiency.

2. R&D Software Engineer

These engineers focus on creating and testing new software products. They play a crucial role in research and development, working on automation and mechanical controls to improve software systems across various industries.

3. Software Analyst

Software analysts design, develop, and test software applications, ensuring they meet user needs. They act as a bridge between developers and users, managing software updates and enhancing user experience.

4. Electronic Design Engineer

Electronic design engineers create electronic circuits and devices tailored to specific requirements. They work on projects ranging from consumer electronics to complex communication systems.

5. Embedded Systems Engineer

Embedded systems engineers develop software for embedded systems found in various devices like appliances, medical equipment, and automotive systems. This role requires proficiency in both hardware and software development.

6. Network Engineer

Network engineers design, implement, and manage computer networks within organizations. They ensure network security and optimize performance for efficient data transfer.

7. Service Engineer

Service engineers maintain and repair electronic equipment used in various industries. Their work ensures that systems operate smoothly, minimizing downtime for businesses.

8. Technical Sales Engineer

In this role, engineers leverage their technical knowledge to sell complex electronic products or services. They often work closely with clients to understand their needs and provide tailored solutions.

9. Quality Assurance Engineer

Quality assurance engineers focus on testing products to ensure they meet required standards before they are released to the market. This role involves developing testing protocols and analyzing results to improve product quality.

10. Systems Engineer

Systems engineers oversee the integration of various subsystems into a complete system, ensuring all components work together effectively. This role is critical in projects involving complex electronic systems.

11. Electronics Technician

Electronics technicians assist in the design, development, and testing of electronic equipment. They often work under the supervision of engineers to troubleshoot issues and perform repairs.

12. Data Analyst

Data analysts in the ECE field focus on interpreting data related to electronic systems or communications networks. They use statistical tools to provide insights that can improve system performance or user experience.

13. Technical Director

Technical directors oversee engineering projects from conception through execution, ensuring technical feasibility while managing teams of engineers. They play a pivotal role in strategic planning within organizations.

14. Chief Technical Officer (CTO)

As a senior executive, the CTO is responsible for overseeing the technological direction of a company. This role involves strategic decision-making regarding technology investments and innovations.

15. Research Scientist

Research scientists in ECE focus on advancing knowledge in areas like telecommunications or signal processing through experimental research or theoretical analysis. This role often requires advanced degrees (MTech or PhD) for positions in academia or specialized industries.

Conclusion

Arya College of Engineering & I.T. is the Best Engineering College in Jaipur that gives career landscape for Electronics and Communication Engineers is diverse and continually evolving due to rapid technological advancements. Graduates can choose from various roles across multiple sectors including telecommunications, IT, manufacturing, aerospace, healthcare, and more, making ECE a promising field for aspiring professionals seeking dynamic career paths.

[quasarlasar]

I finally have working digital art equipment/software so I'm testing it out by doing a quick doodle. I had a dream a couple of nights ago where Tartarus was eating stars like popcorn, so I drew this. I should note here that the stars are meant to be point sources in this drawing; Tartarus is larger than the solar system so he's much bigger than the stars. I did make them look a little pop-corn-y though.

In other news, I graduated with my PhD in astronomy and astrophysics, which I did studying active galactic nuclei, which is just the fancy term for supermassive black holes that are actively feeding. Generally on gas clouds though, not stars...and definitely not popcorn.

I have more updates coming in the next month, and hopefully I will be able to digitally ink and color some comics now.

[1o1percentmilk]

webdev is full of advertising, hardware engineering cant get u smaller chips anymore, software engineering is unoptimized, data science steals people's data and privacy, AI and ML steal jobs, systems engineering is too difficult, database architecture is boring, cloud engineering is dominated by AWS and Azure which are evil, UX/UI design is a form of torture for software engineers, people dont hire software and quality assurance testers anymore bc we have a/b testing and overnight patches now, computer graphics gets you the same visual effect as stuff from 2010, game development pays peanuts, mobile development is oversaturated, robots are being used for the military, project management isn't a real job, crypto is a fucking joke, and dont even look at theoretical computer science or you'll lose 6 years to a phD and alcoholism. do cybersecurity instead.

[tutorsindia152]

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[mariacallous]

Christopher Ren does a solid Elon Musk impression.

Ren is a product manager at Reality Defender, a company that makes tools to combat AI disinformation. During a video call last week, I watched him use some viral GitHub code and a single photo to generate a simplistic deepfake of Elon Musk that maps onto his own face. This digital impersonation was to demonstrate how the startup’s new AI detection tool could work. As Ren masqueraded as Musk on our video chat, still frames from the call were actively sent over to Reality Defender’s custom model for analysis, and the company’s widget on the screen alerted me to the fact that I was likely looking at an AI-generated deepfake and not the real Elon.

Sure, I never really thought we were on a video call with Musk, and the demonstration was built specifically to make Reality Defender's early-stage tech look impressive, but the problem is entirely genuine. Real-time video deepfakes are a growing threat for governments, businesses, and individuals. Recently, the chairman of the US Senate Committee on Foreign Relations mistakenly took a video call with someone pretending to be a Ukrainian official. An international engineering company lost millions of dollars earlier in 2024 when one employee was tricked by a deepfake video call. Also, romance scams targeting everyday individuals have employed similar techniques.

“It's probably only a matter of months before we're going to start seeing an explosion of deepfake video, face-to-face fraud,” says Ben Colman, CEO and cofounder at Reality Defender. When it comes to video calls, especially in high-stakes situations, seeing should not be believing.

The startup is laser-focused on partnering with business and government clients to help thwart AI-powered deepfakes. Even with this core mission, Colman doesn’t want his company to be seen as more broadly standing against artificial intelligence developments. “We're very pro-AI,” he says. “We think that 99.999 percent of use cases are transformational—for medicine, for productivity, for creativity—but in these kinds of very, very small edge cases the risks are disproportionately bad.”

Reality Defender’s plan for the real-time detector is to start with a plug-in for Zoom that can make active predictions about whether others on a video call are real or AI-powered impersonations. The company is currently working on benchmarking the tool to determine how accurately it discerns real video participants from fake ones. Unfortunately, it’s not something you’ll likely be able to try out soon. The new software feature will only be available in beta for some of the startup’s clients.

This announcement is not the first time a tech company has shared plans to help spot real-time deepfakes. In 2022, Intel debuted its FakeCatcher tool for deepfake detection. The FakeCatcher is designed to analyze changes in a face’s blood flow to determine whether a video participant is real. Intel’s tool is also not publicly available.

Academic researchers are also looking into different approaches to address this specific kind of deepfake threat. “These systems are becoming so sophisticated to create deepfakes. We need even less data now,” says Govind Mittal, a computer science PhD candidate at New York University. “If I have 10 pictures of me on Instagram, somebody can take that. They can target normal people.”

Real-time deepfakes are no longer limited to billionaires, public figures, or those who have extensive online presences. Mittal’s research at NYU, with professors Chinmay Hegde and Nasir Memon, proposes a potential challenge-based approach to blocking AI-bots from video calls, where participants would have to pass a kind of video CAPTCHA test before joining.

As Reality Defender works to improve the detection accuracy of its models, Colman says that access to more data is a critical challenge to overcome—a common refrain from the current batch of AI-focused startups. He’s hopeful more partnerships will fill in these gaps, and without specifics, hints at multiple new deals likely coming next year. After ElevenLabs was tied to a deepfake voice call of US president Joe Biden, the AI-audio startup struck a deal with Reality Defender to mitigate potential misuse.

What can you do right now to protect yourself from video call scams? Just like WIRED’s core advice about avoiding fraud from AI voice calls, not getting cocky about whether you can spot video deepfakes is critical to avoid being scammed. The technology in this space continues to evolve rapidly, and any telltale signs you rely on now to spot AI deepfakes may not be as dependable with the next upgrades to underlying models.

“We don't ask my 80-year-old mother to flag ransomware in an email,” says Colman. “Because she's not a computer science expert.” In the future, it’s possible real-time video authentication, if AI detection continues to improve and shows to be reliably accurate, will be as taken for granted as that malware scanner quietly humming along in the background of your email inbox.

[sathcreation]

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Our team includes Ph.D. holders, statisticians, and SPSS professionals who work on real-world projects. They understand academic requirements and deliver precise, customized solutions.

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We meet even the tightest deadlines without compromising quality. Whether your assignment is due tomorrow or next week, we ensure prompt submission.

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Every assignment we deliver is uniquely crafted. We use professional plagiarism checkers to ensure originality.

4. 24/7 Live Support

You can connect with us anytime for updates, clarifications, or new assignment requests. Our support team is always available.

5. Detailed Statistical Explanations

We don’t just provide answers. We explain every SPSS step, from data entry to output interpretation.

Services Offered Under SPSS Assignment Help

➤ Descriptive Statistics

Understand and summarize your data effectively with frequency tables, graphs, and central tendency calculations.

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Get help with t-tests, chi-square tests, ANOVA, and more—essential for drawing conclusions from sample data.

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Solve complex assignments involving linear and logistic regression models with accurate SPSS output interpretations.

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We help frame your hypothesis, select appropriate tests, and explain p-values clearly.

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Support with variable labeling, missing data handling, and transforming variables for proper SPSS analysis.

Meet Our SPSS Assignment Tutors

Our tutors come from academic backgrounds in statistics, data science, and psychology. Many hold advanced degrees (MSc, PhD) and have years of experience using SPSS in research and industry. Each tutor undergoes rigorous quality checks before joining our team.

Dr. Rakesh Sharma – 10+ years teaching SPSS at graduate level.

Maria Gomez, M.Sc. in Psychology – Specializes in behavioral science statistics.

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They understand your assignment goals and know how to tailor the solution to your professor's expectations.

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Frequently Asked Questions (FAQs)

What is SPSS Assignment Help?

SPSS Assignment Help is a service where students get assistance with statistical tasks using SPSS software. From basic data entry to advanced analysis, we cover it all.

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Completely. All your personal and academic data is secure. Our SPSS Assignment Help operates with 100% privacy assurance.

Conclusion

SPSS assignments can be challenging, especially if you’re new to statistical analysis. But with the right guidance, it becomes a learning opportunity. Our SPSS Assignment Help service is designed not only to complete your assignments but to help you understand them.

Whether you're dealing with a tight deadline or a complicated statistical model, Gritty Tech Academy is here to guide you. From hypothesis testing to ANOVA, regression to data cleaning, we handle every aspect with accuracy and care.

Don't just submit an assignment—submit with confidence. Choose our expert SPSS Assignment Help and take the first step toward academic success.

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Struggling with MATLAB simulink? Hire experts from PhD assistants and stop worrying

In the rapidly changing landscape of academic and engineering research, MATLAB and Simulink have become fundamental software programs. In many engineering domains, like control systems, signal processing, power electronics, robotics, and machine learning, MATLAB and Simulink are synonomous with simulation and model-based design. For research scholars, understanding MATLAB Simulink is often a requisite, if not always an easy feat. That is where PhD Assistants comes into play, offering premier MATLAB Simulink assistance, online training, and custom project progression, so you can better focus on your research.

Specialized MATLAB Simulink Support for PhD and MTech Scholars

PhD Assistants provides peer-to-peer MATLAB Simulink support, to help MTech and PhD scholars to frame a project in relation to their specific needs in the engineering, science, and technology domain. The team not only understand their particular area but also have many years of practical experience in creating simulation models and technical projects using MATLAB and Simulink.

Support is available from simple simulation arrangement right through to complex and detailed real-time modeling, including:

Model Design & Simulation

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PhD Assistants practitioners are interested in ensuring we provide more than just technical support, but support with understanding and academic value, enabling the scholar to freely build, represent and disseminate their MATLAB Simulink project.

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PhD Assistants is aware of the expectations of digital learners today. That is why a structured learning environment providing MATLAB Simulink online training sessions. PhD Assistants echoes flexibility and convenience while never losing the depth.

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These sessions have great value for researchers wishing to build their conceptual understanding and hands-on practical skills at the same time.

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Whether you’re encountering difficulties with a Simulink model, putting together a journal publication, or developing a sophisticated simulation project, PhD Assistants is your academic collaborator. Boost your research output with professional MATLAB Simulink services that save time, elevate quality, and assure academic success.

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Best Civil Engineering Colleges in West Bengal

Best Civil Engineering Colleges in West Bengal: Your Complete Guide to a Rock-Solid Career

If you're dreaming of designing the future — from bridges and roads to entire cities — civil engineering is the way to go. But your journey begins with the right education. West Bengal is home to some of the most prestigious engineering institutes in India, offering excellent infrastructure, strong academic support, and industry-aligned training. In this article, we’ll break down the Best Civil Engineering Colleges in West Bengal, what makes them stand out, and how to choose the right one for your goals.

Why Choose Civil Engineering in West Bengal?

West Bengal isn’t just known for its cultural richness — it’s also a rising hub for quality technical education. With top-tier colleges like IIT Kharagpur, Jadavpur University, and several strong private institutions, the state offers a mix of academic rigor, cutting-edge infrastructure, and placement opportunities that rival the best in the country.

Whether you want to go into public infrastructure, environmental engineering, construction management, or even research, the Best Civil Engineering Colleges in West Bengal can set the foundation for your success.

Top Civil Engineering Colleges in West Bengal

Here’s a rundown of some of the best institutions you should consider:

1. Indian Institute of Technology (IIT), Kharagpur

Established: 1951

Type: Government (Autonomous)

Highlights:

Premier institute ranked among the top in India and Asia.

State-of-the-art research facilities.

Strong industry connections and international collaborations.

Exceptional placement records with top companies like L&T, TATA Projects, and more.

IIT Kharagpur is easily the crown jewel when it comes to the Best Civil Engineering Colleges in West Bengal.

2. Jadavpur University, Kolkata

Established: 1955

Type: State Government University

Highlights:

Known for academic excellence and low tuition fees.

Active research in geotechnical, structural, and transportation engineering.

High student satisfaction and solid placement support.

Jadavpur consistently ranks among the Best Civil Engineering Colleges in West Bengal, thanks to its balanced focus on academics and affordability.

3. Heritage Institute of Technology, Kolkata

Established: 2001

Type: Private

Highlights:

Modern infrastructure with fully-equipped labs and software tools.

Emphasis on industry projects and internships.

Good placement record in construction and infrastructure firms.

Ideal for students looking for practical learning and strong industry exposure.

4. IEM (Institute of Engineering and Management), Kolkata

Type: Private

Highlights:

Focus on discipline, academics, and industry integration.

Excellent campus facilities.

Regular seminars, workshops, and corporate interaction.

IEM is gaining traction among students seeking the Best Civil Engineering Colleges in West Bengal that balance academics with employability.

5. Bengal Engineering and Science University (Now IIEST Shibpur)

Type: Deemed University (Institute of National Importance)

Highlights:

Historic reputation in engineering education.

Strong faculty with research credentials.

National and international collaborations.

As one of the oldest engineering colleges in India, IIEST Shibpur offers both legacy and innovation in civil engineering education.

Key Features of the Best Civil Engineering Colleges in West Bengal

What sets these colleges apart? Let’s break it down:

🔧 Practical Learning

Top institutions focus heavily on hands-on experience — think site visits, internships, lab sessions, and live projects. This gives students real-world exposure and problem-solving skills.

👨‍🏫 Expert Faculty

Colleges like IIT KGP and Jadavpur boast faculty members with PhDs, research credentials, and industry experience. This ensures a high-quality learning experience.

🏗️ Infrastructure

Modern labs for material testing, structural engineering, CAD design, and more — the Best Civil Engineering Colleges in West Bengal are equipped to train you for the real world.

💼 Placements

From PSU jobs to roles in multinational construction firms, top civil engineering colleges offer great placement support. Alumni networks, career counseling, and job fairs are part of the package.

🌐 Industry Connection

Colleges now collaborate with construction giants and government departments to offer training, internships, and workshops — giving students a major head start in the industry.

How to Choose the Right College

When picking the right college, don’t just go by rankings. Consider:

Course Curriculum: Does it cover your area of interest (e.g., structural, transportation, or environmental engineering)?

Fees & Scholarships: Government colleges tend to have lower fees; private ones may offer scholarships.

Location: Being close to industry hubs like Kolkata can mean better internship and networking opportunities.

Placement Records: Always check the previous years’ placement stats and company tie-ups.

Final Thoughts

If you're serious about building a career that literally shapes the world, choosing from the Best Civil Engineering Colleges in West Bengal is your first big step. These institutions don’t just give you a degree — they give you the skills, exposure, and confidence to stand tall in a competitive field.

From the elite halls of IIT Kharagpur to the value-packed programs at Jadavpur University, there’s a perfect fit for every kind of learner. Do your research, reach out to the colleges, and make a choice that aligns with your passion and career goals.

📞 Need Help Deciding?

Want personalized guidance on admissions, fees, and application deadlines? Reach out today and take the guesswork out of your future.

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Leader Software Test Engineer

About CentificCentific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution…

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Leader Software Test Engineer

About CentificCentific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution…

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Quantware QPUs Integrate Q-CTRL’s Autonomous Calibration

Q-CTRL, a pioneer in quantum infrastructure software, and QuantWare, a leading quantum hardware supplier and VIO QPU scaling technology developer, announced a major alliance. This partnership will provide QuantWare's clients with an autonomous calibration solution, overcoming a major barrier to large-scale quantum computer deployment.

Current quantum computing hardware users struggle with the tedious, imprecise, and manual changing of QPU control parameters. Manual processing may take days, according to the notice.

Combining QuantWare's QPUs with Q-CTRL's Boulder Opal Scale Up tool will simplify this approach.

The cooperation allows QuantWare customers to “push-button tuneup” their on-premises quantum computers. This setup simplification should reduce test times from days to hours. Plug-and-play solutions enable seamless integration on-premises and in the cloud, expediting quantum error correction development by eliminating manual tuning.

Boosting System Development and Performance

QuantWare clients benefit from improved QPU performance and faster system development. Customers can create and install quantum error correcting systems faster.

Boulder Opal Scale Up lets users easily maximise QuantWare QPU performance, maximising hardware utilisation.

Contralto-A: Collaboration's Main Winner

Integration benefits QuantWare's cutting-edge QPUs like the early-access Contralto-A Quantum Error Correction QPU. Contralto-A is the next step towards quantum error-correcting systems. It was designed for distance-3 surface codes by quantum error-correction experts. This QPU uses Purcell filters and tunable couplers for high-fidelity operations.

Up to 17 premium transmon qubits are connected by 24 adjustable couplers. The Hamiltonian is optimised for Quantum Error Correction, and the qubits are “Ninja star”-arranged.

Read about quantum entanglement entropy and challenges.

Three Purcell-filtered readout, driving, and flux lines are on each qubit.

Contralto-A comes fully packaged and compatible with Ardent connectors. Options include magnetic shielding. A DC source, AWG for flux biassing for each qubit, tunable coupler, RF AWG for driving, and RF readout module for qubit readout are needed for optimal performance. With a Crescendo-S TWPA, all three feedlines read best.

QuantWare's hardware and algorithm experts teach and assist the Contralto-A for real-world applications and utility-scale development. By providing hardware-level access at every stack tier, it allows system configuration freedom and control due to its Quantum Open Architecture conformance. Contralto-A is pre-orderable for Early Access partners and will be released later this year.

VIO drives scaling

QuantWare's VIO technology scaling is also promoted by the agreement. QuantWare's VIO scaling technology makes upgrading to larger QPUs economical. It unlocks multimillion-qubit processors. As they scale systems using VIO-powered processing units, many clients will need to tune massive QPUs efficiently. Q-CTRL may enable utility-scale quantum computers with over a million qubits.

Due to VIO, devices scale quickly, hence QuantWare stressed the importance of automatic tuneup. Boulder Opal and Contralto-A work together to dramatically boost client capabilities.

Foundry Services now offers VIO to help companies make over 100 qubit devices.

Boulder Opal Scale Up: AI-Driven Automation

Q-CTRL's Boulder Opal Scale Up solution powers self-calibration. Fusing AI-driven automation with PhD-level human intelligence breaks the quantum industry bottleneck. Boulder Opal Scale Up offers a fully autonomous software solution for quick, reliable, and repeatable QPU characterisation and calibration based on the company's experience using physics-informed AI to optimise QPU performance. Q-CTR wants quantum technology to benefit as many teams as possible. They were excited to apply their skills to QuantWare's products and clientele.

This partnership was crucial to developing utility-scale quantum computers. QuantWare's QPUs simplify the user experience so customers can focus on their goals instead of manual tuning.

In addition to the Contralto-A, QuantWare offers the Contralto-D, a 21-qubit fixed coupler QPU, and the Soprano-D, a 5-qubit one. Their amplifiers include the Crescendo-S and Crescendo-E TWPAs and the VIO-176-driven TENOR-D QPU. Contralto-A works with QuantrolOx's Quantum EDGE automated tune-up software.

QuantWare and Q-CTRL have teamed to simplify quantum hardware operation to enable researchers and developers accelerate quantum error correction and large-scale, utility-scale quantum computing.