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jcmarchi · 3 months

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Student spotlight: Victory Yinka-Banjo

New Post has been published on https://thedigitalinsider.com/student-spotlight-victory-yinka-banjo/

Student spotlight: Victory Yinka-Banjo

This interview is part of a series from the MIT Department of Electrical Engineering and Computer Science featuring students answering questions about themselves and life at the Institute. Today’s interviewee, Victory Yinka-Banjo, is a junior majoring in MIT Course 6-7: Computer Science and Molecular Biology. Yinka-Banjo keeps a packed schedule: She is a member of the Office of Minority Education (OME) Laureates and Leaders program; a 2024 fellow in the public service-oriented BCAP program; has previously served as secretary of the African Students’ Association, and is now undergraduate president of the MIT Biotech Group; additionally, she is a SuperUROP Scholar; a member of the Ginkgo Bioworks’ Cultivate Fellowship (a program that supports students interested in synthetic biology/biotech); and an ambassador for Leadership Brainery, which equips juniors/leaders of color with the resources needed to prepare for graduate school. She recently found time to share a peek into her MIT experience.

Q: What’s your favorite building or room within MIT?

A: It has to be the Broad Institute of MIT and Harvard on Ames Street in Kendall Square, where I do my SuperUROP research in Caroline Uhler’s lab. Outside of classes, you’re 90 percent likely to find me on the newest mezzanine floor (between the 11th and 12th floor), in one of the UROP [Undergraduate Research Opportunities Program] rooms I share with two other undergrads in the lab. We have standing desks, an amazing coffee/hot chocolate machine, external personal monitors, comfortable sofas — everything, really! Not only is it my favorite building, it is also my favorite study spot on campus. In fact, I am there so often that when friends recently planned a birthday surprise for me, they told me they were considering having it at the Broad, since they could count on me being there.

I think the most beautiful thing about this building, apart from the beautiful view of Cambridge we get from being on one of the highest floors, is that when I was applying to MIT from high school, I had fantasized working at the Broad because of the groundbreaking research. To think that it is now a reality makes me appreciate every minute I spend on my floor, whether I am doing actual research or some last-minute studying for a midterm.

Q: Tell me about one interest or hobby you’ve discovered since you came to MIT.

A: I have become pretty involved in the performing arts since I got to MIT! I have acted in two plays run by the Black Theater Guild, which was revived during my freshman year by one of my friends. I played a supporting role in the first play called “Nkrumah’s Last Day,” which was about Ghana at a time of governance under Kwame Nkrumah, its first president. In the second play, a ghost story/comedy called “Shooting the Sheriff,” I played one of the lead roles. Both caused me to step way out of my comfort zone and I loved the experiences because of that. I also got to act with some of my close friends who were first-time stage actors as well, so that made it even more fun.

Outside of acting, I also do spoken word/poetry. I have performed at events like the African Students Association Cultural Night, MIT Africa Innovate Conference, and Black Women’s Alliance Banquet. I try to use my pieces to share my experiences both within and beyond MIT, offering the perspective of an international Nigerian student. My favorite piece was called “Code Switch,” and I used concepts from [computer science] and biology (especially genetic code switching), to draw parallels with linguistic code-switching, and emphasize the beauty and originality of authenticity. This semester, I’m also a part of MIT Monologues and will be performing a piece called “Inheritance,” about the beauty of self-love found in affection transferred from a mother.

Q: Are you a re-reader or a re-watcher — and if so, what are your comfort books, shows, or movies?

A: I don’t watch too many movies, although I used to be obsessed with all parts of “High School Musical;” and the only book I’ve ever reread is “Americanah.” I would actually say I am a re-podcaster! My go-to comfort-podcast is this episode, “A Breakthrough Unfolds”, by Google DeepMind. It makes me a little emotional every time I listen. It is such an exemplification of the power of science and its ability to break boundaries that humans formerly thought impossible. As a computer science and biology major, I am particularly interested in these two disciplines’ applications to relevant problems, like the protein-folding problem discussed in the episode, which DeepMind’s solution for has caused massive advances in the biotech industry. It makes me so hopeful for the future of biology, and the ways in which computation can advance human health and precision medicine.

Q: Who’s your favorite artist?

A: When I think of the word ‘artist,’ I think of music artists first. There are so many who I love; my favorites also evolve over time. I’m Christian, so I listen to a lot of gospel music. I’m also Nigerian so I listen to a lot of Afrobeats. Since last summer, I’ve been obsessed with Limoblaze, who fuses both gospel and Afrobeats music! KB, a super talented gospel rapper, is also somewhat tied in ranking with Limo for me right now. His songs are probably ~50 percent of my workout playlist.

Q: It’s time to get on the shuttle to the first Mars colony, and you can only bring one personal item. What are you going to bring?

A: Oooh, this is a tough one, but it has to be my Brass Rat. Ever since I got mine at the end of sophomore year, it’s been nearly impossible for me to take it off. If there’s ever a time I forget to wear it, my finger feels off for the entire day.

Q: Tell me about one conversation that changed the trajectory of your life.

A: Two specific career-defining moments come to mind. They aren’t quite conversations, but they are talks/lectures that I was deeply inspired by. The first was towards the end of high school when I watched this TEDx Talk about storing data in DNA. At the time, I was getting ready to apply to colleges and I knew that biology and computer science were two things I really liked, but I didn’t really understand the possibilities that could be birthed from them coming together as an interdisciplinary field. The TEDx talk was my eureka moment for computational biology.

The second moment was in my junior fall during an introductory lecture to “Lab Fundamentals for Bioengineering,” by Professor Jacquin Niles. I started the school year with a lot of confusion about my future post-grad, and the relevance of my planned career path to the communities that I care about. Basically, I was unsure about how computational biology fit into the context of Nigeria’s problems, especially because my interest in the field is oriented towards molecular biology/medicine, not necessarily public health.

In the U.S., most research focuses on diseases like cancer and Alzheimer’s, which, while important, are not the most pressing health conditions in tropical regions like Nigeria. When Professor Niles told us about his lab’s dedication to malaria research from a molecular biology standpoint, it was yet another eureka moment. Like, Yes! Computation and molecular biology can indeed mitigate diseases that affect developing nations like Nigeria — diseases that are understudied, and whose research is underfunded.

Since his talk, I found a renewed sense of purpose. Grad school isn’t the end goal. Using my skills to shine a light on the issues affecting my people that deserve far more attention is the goal. I’m so excited to see how I will use computational biology to possibly create the next cure to a commonly neglected tropical disease, or accelerate the diagnosis of one. Whatever it may be, I know that it will be close to home, eventually.

Q: What are you looking forward to about life after graduation? What do you think you’ll miss about MIT?

A: Thinking about graduating actually makes me sad. I’ve grown to love MIT. The biggest thing I’ll miss, though, is Independent Activities Period (IAP). It is such a unique part of the MIT experience. I’ve done a web development class/competition, research, a data science challenge, a molecular bio crash course, and a deep learning crash course over the past three IAPs. It is such an amazing time to try something low stakes, forget about grades, explore Boston, build a robot, travel abroad, do less, go slower, really rejuvenate before the spring, and embrace MIT’s motto of “mind and hand” by just being creative and explorative. It is such an exemplification of what it means to go here, and I can’t imagine it being the same anywhere else.

That said, I look forward to graduating so I can do more research. My hours spent at the Broad thinking about my UROP are always the quickest hours of my week. I love the rabbit holes my research allows me to explore, and I hope that I find those over and over again as I apply and hopefully get into PhD programs. I look forward to exploring a new city after I graduate, too. I wouldn’t mind staying in Cambridge/Boston. I love it here. But I would welcome a chance to be somewhere new and embrace all the people and unique experiences it has to offer.

I also hope to work on more passion projects post-grad. I feel like I have this idea in my head that once I graduate from MIT, I’ll have so much more time on my hands (we’ll see how that goes). I hope that I can use that time to work on education projects in Nigeria, which is a space I care a lot about. Generally, I want to make service more integrated in my lifestyle. I hope that post-graduation, I can prioritize doing that even more: making it a norm to lift others as I continue to climb.

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grainelevator · 9 months

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I hope every computer explodes

#fuck you computer technology for environmental applications #i hate this class

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beaniebabs · 1 month

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i don't wanna brag or anything but i finished my first college semester with 3 A's B)

#not gonna do decimals bc i'm too lazy so i'll round down if needed #i got a 92 in principles of accounting. 90 in computer applications. and 91 in college algebra [:#also a 73/C in english composition but that was online and i hate writing essays so i consider that a massive win for me #and. i failed my also-online art appreciation class with a 50/F. but idc i'm just gonna retake a different fine art later #related. if you're in high school still and thinking about college. DO NOT TAKE ONLINE CLASSES IF YOU CAN HELP IT.#even if it's an “easy” class. i thought english and art were gonna be easy classes for me. and maybe they wouldve been if i went in person.#but i promise you it's SO much harder online. it's very hard to make yourself keep up with the work and it's way harder to learn (for me)#take in-person classes as much as you are able to. you have your work right there in front of you physically #and your teacher is there so you can ask questions and get an immediate answer and not have to talk over people on a shitty live call #ok that's the end of my life advice for now. end post B)

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infime · 5 months

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overlooked group of people who only know how to use a phone and not a computer are like 50 - 60 myb 70 year olds who wldve entered the workforce as relatively manual labourers be it in like construction the oil industry cleaners etc n stayed pretty much in that field and never had to do much interactions with computers in their professional life or personal life bc like they nvr did further studies etc. but bc they arent necessarily 'too old' to be a part of technological progress for e.g. like some persons 80+ esp sometimes bc of the age of their kids they do have smartphones n hv learnt to be just competent enough to get by with them but can't use a computer for nothing.

#this isnt anything more than just like an observation #i think adult-elderly computer literacy classes are also important #like ik someone in pretty much the situation i described but bc the company they worked all their life in closed down #they are now trying to apply for new jobs etc n now so mnay things in job application require technology use #cloud nonsense

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galariangengar · 1 year

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STRESS STRESS STRESS!!! The one community college that cleared me for Pharmacology is giving me an error when I try to register for the class, even though I already submitted a prerequisite form and my transcripts! I’ve tried calling their admissions office AND their counseling office, BUT NOTHING! I sent an email and I’ll leave a voicemail right now but HHHHHH I AM VERY STRESSED AND ANXIOUS RIGHT NOW!

#I also sent an email to the school I’m interested in for their absn and elmsn program that I wanna apply to this fall #I sent two email to their admissions email and a counselor for the specific campus location I wanna attend #basically saying I have a question and I attended webinars for these two programs #and regarding their absn program/ the speaker of the webinars have stated it’s ok to have a class or two in progress when applications open #so I asked if it’s ok if the 2 classes I need are taken in the fall and ‘in progress’ when applications open #in the event I’m unable to take one or both classes this summer #hhhh I’m so stressed and anxious rn/my jaw is starting to hurt and my heart is beating kinda fast #also still haven’t heard back from the other community college for the pathophysiology class which is more stress to me #HHHHHH trying now to cry….. I should step away from my computer and go eat something and distract myself with something else #jazz uses curse! 💜

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whovianwholikesgirls · 1 year

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Hotch: There are lots of ways that sons defeat their fathers The Husband: I just keep getting PHDs

Besties My Husband has 3 PHDs and I might fuck around and get 2 masters lmao @anything-thats-rock-and-roll @penelopegarciaswife @thebewingedjewelcat @octaviaember @residentdormouse

#the professor on campus who specializes in getting autistic people hired in the tech field who I wrote about in my application to my program #is doing a research class on the topic this fall and I'm taking it. her discipline is in information management instead of library science #but the parts of library science that I'm interested in are the organization and database parts of it #all digital humanities librarianship is is conserving data of really cool aspects of art literature and philosophy #which is something I still want to do #but I also want to look into some intro classes in her field next quarter to see if I want to apply and get a duel master's degree #because all this woman does all day is work with computers and data which is what I want to do and cybersecurity sounds super fucking cool #I just didn't apply to her disciplines program bc I was worried it would involve too much math

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allbeendonebefore · 2 years

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i wake up. i modify another cover letter to the university. i expect zero response once again. i go to work at my other job for another university. i think wistfully about having benefits.

#hapo rambles #personal hapo #i NEVER get anything other than an automated message saying they received my application #and i am being SO BRAVE ABOUT IT #the other day i had to refrain from getting snippy with one of my students who dm'd me to suggest i phone people having technical difficulti #the university does not pay me enough to phone people sorry #they do not subsidize my phone plan they do not provide me equipment #im probably breaking provincial law by storing class recordings on my own computer anyway aaaaaaaaaa #it would be nice to have a real job sometimes

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sagarrachnagrp · 12 days

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Chapter-wise Question Bank Class 9 ICSE Computer Application for 2025

Together with ICSE Class 9 Question Bank 2024-25 Computer Application released to learn the concepts in-detail. Chapter-wise ICSE Question Bank Class 9 2024-25 exams has been designed as per the latest syllabus. Important Terms & Definitions, Solved & Practice Questions, MCQs, Self-evaluation Tests, Practice Papers given in the best reference books assure 100% success in term end exams.

#Question Bank Class 9 ICSE #ICSE Class 9 Question Bank 2024-25 #Class 9 ICSE Computer Application for 2025 #Class 9 Question Bank 2024-25 Computer Application

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sephirothmon · 3 months

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maybe I should become a cryptographer. maybe my school has classes for that

#now i can combine math AND computers #althought tbh i dont think this would have many real world applications #that dont involve me being on like. some kinda g*verment list #idk maybe i'll look. my infosec class has been going ofer cryptography stuff and im remembered how much i liked it in contemporary math

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lordchinnychin · 2 months

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Okay so in my Computer Applications class we learned about conditional formatting in Excel, where you can change the color of a cell by inputting certain values.

We're supposed to use it to model heat gradients in metals, but I found a better application:

FROG ART

#frogs #Excel #i spent like an hour doing this #should I have been doing my homework instead?#absolutely #do I regret it?#absolutely not #frog art #pixel art

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jcmarchi · 3 months

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Dealing with the limitations of our noisy world

New Post has been published on https://thedigitalinsider.com/dealing-with-the-limitations-of-our-noisy-world/

Dealing with the limitations of our noisy world

Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a hands-on introduction to engineering and computer science.

What is the probability that she would return to MIT years later, this time as a faculty member?

That’s a question Broderick could probably answer quantitatively using Bayesian inference, a statistical approach to probability that tries to quantify uncertainty by continuously updating one’s assumptions as new data are obtained.

In her lab at MIT, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS) uses Bayesian inference to quantify uncertainty and measure the robustness of data analysis techniques.

“I’ve always been really interested in understanding not just ‘What do we know from data analysis,’ but ‘How well do we know it?’” says Broderick, who is also a member of the Laboratory for Information and Decision Systems and the Institute for Data, Systems, and Society. “The reality is that we live in a noisy world, and we can’t always get exactly the data that we want. How do we learn from data but at the same time recognize that there are limitations and deal appropriately with them?”

Broadly, her focus is on helping people understand the confines of the statistical tools available to them and, sometimes, working with them to craft better tools for a particular situation.

For instance, her group recently collaborated with oceanographers to develop a machine-learning model that can make more accurate predictions about ocean currents. In another project, she and others worked with degenerative disease specialists on a tool that helps severely motor-impaired individuals utilize a computer’s graphical user interface by manipulating a single switch.

A common thread woven through her work is an emphasis on collaboration.

“Working in data analysis, you get to hang out in everybody’s backyard, so to speak. You really can’t get bored because you can always be learning about some other field and thinking about how we can apply machine learning there,” she says.

Hanging out in many academic “backyards” is especially appealing to Broderick, who struggled even from a young age to narrow down her interests.

A math mindset

Growing up in a suburb of Cleveland, Ohio, Broderick had an interest in math for as long as she can remember. She recalls being fascinated by the idea of what would happen if you kept adding a number to itself, starting with 1+1=2 and then 2+2=4.

“I was maybe 5 years old, so I didn’t know what ‘powers of two’ were or anything like that. I was just really into math,” she says.

Her father recognized her interest in the subject and enrolled her in a Johns Hopkins program called the Center for Talented Youth, which gave Broderick the opportunity to take three-week summer classes on a range of subjects, from astronomy to number theory to computer science.

Later, in high school, she conducted astrophysics research with a postdoc at Case Western University. In the summer of 2002, she spent four weeks at MIT as a member of the first class of the Women’s Technology Program.

She especially enjoyed the freedom offered by the program, and its focus on using intuition and ingenuity to achieve high-level goals. For instance, the cohort was tasked with building a device with LEGOs that they could use to biopsy a grape suspended in Jell-O.

The program showed her how much creativity is involved in engineering and computer science, and piqued her interest in pursuing an academic career.

“But when I got into college at Princeton, I could not decide — math, physics, computer science — they all seemed super-cool. I wanted to do all of it,” she says.

She settled on pursuing an undergraduate math degree but took all the physics and computer science courses she could cram into her schedule.

Digging into data analysis

After receiving a Marshall Scholarship, Broderick spent two years at Cambridge University in the United Kingdom, earning a master of advanced study in mathematics and a master of philosophy in physics.

In the UK, she took a number of statistics and data analysis classes, including her first class on Bayesian data analysis in the field of machine learning.

It was a transformative experience, she recalls.

“During my time in the U.K., I realized that I really like solving real-world problems that matter to people, and Bayesian inference was being used in some of the most important problems out there,” she says.

Back in the U.S., Broderick headed to the University of California at Berkeley, where she joined the lab of Professor Michael I. Jordan as a grad student. She earned a PhD in statistics with a focus on Bayesian data analysis.

She decided to pursue a career in academia and was drawn to MIT by the collaborative nature of the EECS department and by how passionate and friendly her would-be colleagues were.

Her first impressions panned out, and Broderick says she has found a community at MIT that helps her be creative and explore hard, impactful problems with wide-ranging applications.

“I’ve been lucky to work with a really amazing set of students and postdocs in my lab — brilliant and hard-working people whose hearts are in the right place,” she says.

One of her team’s recent projects involves a collaboration with an economist who studies the use of microcredit, or the lending of small amounts of money at very low interest rates, in impoverished areas.

The goal of microcredit programs is to raise people out of poverty. Economists run randomized control trials of villages in a region that receive or don’t receive microcredit. They want to generalize the study results, predicting the expected outcome if one applies microcredit to other villages outside of their study.

But Broderick and her collaborators have found that results of some microcredit studies can be very brittle. Removing one or a few data points from the dataset can completely change the results. One issue is that researchers often use empirical averages, where a few very high or low data points can skew the results.

Using machine learning, she and her collaborators developed a method that can determine how many data points must be dropped to change the substantive conclusion of the study. With their tool, a scientist can see how brittle the results are.

“Sometimes dropping a very small fraction of data can change the major results of a data analysis, and then we might worry how far those conclusions generalize to new scenarios. Are there ways we can flag that for people? That is what we are getting at with this work,” she explains.

At the same time, she is continuing to collaborate with researchers in a range of fields, such as genetics, to understand the pros and cons of different machine-learning techniques and other data analysis tools.

Happy trails

Exploration is what drives Broderick as a researcher, and it also fuels one of her passions outside the lab. She and her husband enjoy collecting patches they earn by hiking all the trails in a park or trail system.

“I think my hobby really combines my interests of being outdoors and spreadsheets,” she says. “With these hiking patches, you have to explore everything and then you see areas you wouldn’t normally see. It is adventurous, in that way.”

They’ve discovered some amazing hikes they would never have known about, but also embarked on more than a few “total disaster hikes,” she says. But each hike, whether a hidden gem or an overgrown mess, offers its own rewards.

And just like in her research, curiosity, open-mindedness, and a passion for problem-solving have never led her astray.

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labyrynth · 5 months

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that post about how young people use computers these days (or rather, how they don’t, instead preferring to use their phones) got me wondering

by computer skills i mean basic skills like typing, navigating menus/directories/folders, using word processors or other programs, using removable storage, etc. NOT computer science or programming.

#moi #polls #tumblr polls #blah blah blah please reblog for more votes #greatest hits

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cacmsinsitute · 8 months

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The Role of Artificial Intelligence in Software Development: Tools and Applications

Artificial Intelligence (AI) has emerged as a revolutionary force in the rapidly expanding technological landscape. Its applications go beyond driverless vehicles, healthcare, and natural language processing to the very heart of software creation. This article digs into the importance of AI in software development, looking at the tools and applications that are transforming the way engineers create, maintain, and optimize software.

Understanding AI in Software Development

In software development, artificial intelligence is about increasing developers' talents rather than taking over their work. It enables developers to work more efficiently and successfully by providing assistance at various stages of the software development lifecycle. Here are some of the key areas where AI plays a big role:

Code Generation: AI-powered solutions can automatically generate code snippets based on high-level descriptions, decreasing the time and effort necessary to write repetitive or boilerplate code. They can also assist with bug remediation by suggesting remedies to common coding problems.

Code Review and Analysis: AI-driven code analysis tools can discover possible errors, security vulnerabilities, and code quality issues, giving developers with valuable input during code review.

Predictive Maintenance: AI is used to predict software maintenance needs, assisting developers in identifying places in the codebase that require attention, updates, or optimization before they become serious concerns.

Bug Prediction and Detection: AI systems can forecast where flaws may appear in code, allowing developers to proactively resolve these issues, resulting in more reliable software.

AI Tools for Software Development

There is an increasing number of AI tools and platforms meant to improve the software development process:

GitHub Copilot: Developed by GitHub in conjunction with OpenAI, Copilot is an AI pair programmer that supports developers by providing code recommendations, documentation, and more directly in their Integrated Development Environments (IDEs).

CodeGuru: CodeGuru is an Amazon Web Services (AWS) application that uses machine learning to identify code quality issues and make recommendations for improvement.

DeepCode: This AI-powered code review tool examines codebases for bugs, security flaws, and issues. It provides advice on how to fix errors and enhance code quality.

Snyk: Snyk is a security company that uses AI to detect and patch vulnerabilities in open-source libraries and container images.

Jenkins X: An open-source project using AI to automate CI/CD (Continuous Integration and Continuous Deployment) pipelines for Kubernetes-based applications.

Applications of AI in Software Development

The role of AI in software development is not confined to the internal processes of coding and debugging. It has a significant impact on software applications as well:

Chatbots and Virtual Assistants: Many software products now include chatbots and virtual assistants powered by AI for user support, boosting user experience and engagement.

Recommendation Systems: AI-driven recommendation systems are being integrated into a wide range of software products, from e-commerce platforms to streaming services, to improve user satisfaction and income.

Predictive Analytics: AI is utilized in software applications for predictive analytics, which aids in data-driven decision-making and improves corporate intelligence.

Natural Language Processing (NLP): NLP is used in applications such as sentiment analysis and chat programmes to interpret and respond to human language.

Autonomous Systems: AI is at the heart of software development in domains such as self-driving cars, drones, and robotics to make real-time judgements and traverse the environment.

Conclusion

Artificial intelligence is altering the software development landscape. It is no longer a hypothetical concept, but rather a contemporary reality. AI tools and applications are expanding developers' capabilities, making software development more efficient, dependable, and innovative. As technology advances, developers and organizations who integrate AI in software development are more likely to remain competitive and deliver higher-quality software to users. AI's position in software development is not a replacement, but rather a potent augmentation that is here to stay. Ready to explore more into AI in software development? Discover cutting-edge AI technologies and applications at CACMS Institute, Amritsar's best programming institute. Benefit from hands-on training and knowledgeable instructors. For further information, call us at +91 8288040281 or visit http://cacms.in/Programming-Language/

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thegeorgetelegraph · 11 months

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Get The Best Computer Software Training Courses in Kolkata 2023

If you are looking for the best computer programming training centre for your computer application, software course, then visit George Telegraph today. George Telegraph provides job oriented course with 100% job placement assistance. Join Now.

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cbsesamplepapersblog · 1 year

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♦100% Updated with Board Specimen Paper & Exam Papers ♦Crisp Revision Topic wise Revision Notes, Mind Maps & Mnemonics

#ICSE Question Bank Class 10 | Computer Applications

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tccicomputercoaching · 1 year

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C++ is a general purpose programming language. C++ includes object-oriented concepts that have numerous advantages. Designed from a systems programming and embedded systems perspective.

Application of C++ Language as below

- Object Oriented

OOP concepts such as polymorphism, encapsulation, inheritance, and abstraction make C++ superior to other programming languages. This feature is missing in C and has proven to be very important as it helps users treat data as objects and classes.

- Memory Management

C++ gives programmers complete control over memory management. This can be viewed as both a benefit and a cost, as it puts more responsibility on the user to manage the memory instead of having it managed by the garbage collector.

- Midlevel Language

High-level language features are useful for developing games and desktop applications, and low-level language features are useful for building kernels and drivers.

- Multi Paradigm

C++ is a multi-paradigm programming language. This includes program logic, structure, and flow. Generic, imperative, and object-oriented are his three paradigms of C++.

- Standard Library

C++ comes with a wide variety of built-in libraries. They help speed up software development and enable users to do more with less.

- Portability

Since C is based on ASCII characters, it works well on different platforms such as Windows, Linux, Mac OS X, Android and iOS. So, wherever you live, you can run your C programs anywhere.

C++ contains following topics at TCCI:

Introduction to C++, Basic Syntax, Object Oriented Concept, Data Types and Variables, Constants, Literals, Modifiers, Operators, Loop Controls, Decision Making, Class Structure with Object, Function, Arrays, String, Inheritance, Constructor-Destructor, Exception Handling, Files etc.

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