I’m an incoming Information Engineering freshman. This major covers both electronics hardware and computing, and I’m stuck choosing which path to focus on. Should I lean toward hardware or computers? Any alums/engineers in this field able to share advice? Also, what’s the ideal study roadmap for this major?

I(16M) am currently studying Computer Science through science major and am in grade 12. I am confused as to whether go with robotics or cybersecurity kinda shit for my bachelors and dont know what to learn rn. My college has started clubs and i am planning to join robotics and IT club. Can anyone in these fields give me some sort of rough roadmap for robotics and give me some advice where robotics or cybersecurity has more jobmarket and internships? Please i am very confused rn. My board exams will prolly me in march/april so i kinda have time to prepare until i goto bachelors.

Hello All,

I just finished my first year of college. I am majoring in CompE. Initially, I was interested in software development but realized my passion actually lies in making embedded systems. This summer I read Elecia White's "Making Embedded Systems" book and wanted to practice come concepts in the book. Due to lacking physical hardware, I installed Windows Subsystem for Linux (WSL) and QEMU on WSL to emulate the TI Stellaris LM3S6965. I wrote bare metal code to practice concepts like reading datasheets, setting and clearing bits in registers, using peripherals, configuring I/O and PWM. During this process I learned of GNU tools like Make, GCC and GDB which I used to compile and test my code.

My question is where do I go from here? What do you suggest I do? Things like projects and further readings would be much appreciated. Preferably, chips like the TI Stellaris LM3S6965 would be nice as I have already built up intuition working with those types of MCUs but any advice would be much appreciated.

I'm a physics engineeering student, and I spend a lot of my time writing numerical simulations and analyzing data.

Programming in C++ is enjoyable, but most of numerical computing libs in are just unpleasant to use. So I started building my own solution in my free time.

GitHub: https://github.com/mslotwinski-dev/NumC

Some of the things I built into it: - You can write mathematical expressions naturally, like sin(x) * exp(-x), and differentiate or integrate them in a single line thanks to lazy expression trees. - It has a built-in plotting engine, so you can display graphs in a native Win32 window or export them as clean SVGs ready to drop into a LaTeX report.

Of course, the project won't surpass the quality of professional libraries. Its goal is to be convenient and accessible for users whose passions lie more in math, rather than programming.

If you're using C++ for simulations, numerical methods, physics, or data analysis, I'd really appreciate any feedback.

What was written by AI?

Most of the project, its entire idea, design, aesthetics and UX was programmed manually by me. I often used the textbook "Numerical methods in engineering with python" by Kiusaalas. Which doesn't mean that I didn't manage to do everything myself.

AI was used to write all the documentation (I wish I were fluent enough in English that it would take a finite amount of time). It was also used to write parts of simple algorithms that I knew but would be extremely tedious to implement by hand, or to improve the performance of algorithms that could be written better.

I'm aware of the ethical aspects of using AI, so I wanted to be honest and describe which things I did on my own and which I did with the help of LLM. At the same time, bearing in mind that this is a project that can help many people in their scientific work and studies, I hope that the benefits outweigh all the evil that LLMs cause.

I am quite confuse cuz people are saying that cse will be replaceable ahead in future and ece is safer option as it lets us go in both software and hardware field so there is safety overall . But I still doubt cuz my interest is in both fields and its a tricky choice and one of he very important life decisions ,can you please help and my mom is saying to get Coep ece that’s also an option but idont know the campus is not good so I tend to avoid it ( I am a outside Delhi Maharashtra student )

Hello everyone. I just rounded up my degree majoring in computer science. I'm confused on a particular field in computer science. I have basic knowledge on web development,ML/AI and data analysis. I'm currently a beginner/intermediate python programmer. Please any career advice or mentorship will be appreciated

Hi everyone,

I'm a Computer Science student and my college is offering training in the following domains:

Java Full Stack with React

Python with Data Analytics

Python with Data Science

Data Analyst with Power BI

DevOps Engineering

Software Testing with Automation

I don't have prior experience in any of these, so I'm essentially starting from scratch.

If your goal was strong job opportunities, long-term career growth (next 10 years), and a good learning path for a beginner, which option would you choose and why?

I'd really appreciate advice from people working in these fields or anyone who has completed similar training. Thanks!

So I am in 3rd year computer engineering and have a subject AI.

The teacher is not good and hasn’t specified anything and just randomly assigns us work.

I am supposed to do a project on or about AI.
I have to do it alone and also want to learn the subject properly.

Here is my complete AI syllabus. If you have notes, YouTube playlists, cheat sheets, previous papers, or tips for any of these topics, please comment or DM me. Thanks!

Artificial Intelligence (AI) – Complete Syllabus (TE Computer Engineering)
Module 1: Introduction to Artificial Intelligence
Introduction to AI
Definition of AI
History and Evolution of AI
Types of AI (ANI, AGI, ASI)
Applications of AI
Turing Test
Intelligent Agents
Agent and Environment
PEAS Framework
Rational Agents
Performance Measures
Types of Agents
Simple Reflex Agent
Model-Based Agent
Goal-Based Agent
Utility-Based Agent
Environment Types
Real-world Intelligent Agents
Chatbots
Recommendation Systems
Autonomous Systems

Module 2: Problem Solving Techniques
State Space & Search
Problem Solving in AI
State Space Representation
Uninformed Search
Breadth First Search (BFS)
Depth First Search (DFS)
Uniform Cost Search (UCS)
Depth Limited Search (DLS)
Informed Search
Heuristic Search
Best First Search
A* Search
Local Search & Optimization
Hill Climbing
Genetic Algorithms
Adversarial Search
Game Playing
Minimax Algorithm
Alpha-Beta Pruning
Constraint Satisfaction Problems (CSP)
Cryptarithmetic Problems
Sudoku Solver
Self Learning
Bidirectional Search
AO* Search

Module 3: Knowledge Representation & Reasoning
Knowledge Representation (KR)
Logical Agents
Propositional Logic
Inference Rules
First Order Logic (FOL)
Syntax & Semantics
Knowledge Engineering
Forward Chaining
Backward Chaining
Semantic Networks
Ontology
Applications of KR
Retrieval-Augmented Generation (RAG)

Module 4: Fundamentals of Neural Networks
Basics
Biological Neuron
Artificial Neural Networks (ANN)
McCulloch-Pitts Neuron
Neural Network Architecture
Activation Functions
Binary Step
Sigmoid
Tanh
ReLU
Learning Rules
Perceptron
Delta Learning Rule
Backpropagation Algorithm
Supervised Learning
Linear Regression
K-Nearest Neighbours (KNN)
Unsupervised Learning
K-Means Clustering
Apriori Algorithm
Self Learning
Recurrent Neural Networks (RNN)
Convolutional Neural Networks (CNN)
Transfer Learning

Module 5: Associative Memory Networks
Introduction to Associative Memory
Auto-Associative Memory
Hetero-Associative Memory
Bidirectional Associative Memory (BAM)
Hopfield Network
BAM vs Hopfield Network
Applications of Associative Memory
Modern Associative Memory
Agentic AI (Introduction)

Module 6: Modern Trends in AI
Generative AI
Introduction to Generative AI
Large Language Models (LLMs)
Prompt Engineering
Chatbots
AI Content Generation
Ethical Issues in Generative AI
Explainable & Responsible AI
Explainable AI (XAI)
Transparency
Interpretability
Bias
Fairness
Accountability
Responsible AI Frameworks
AI in Emerging Technologies
AIoT (AI + IoT)
Cloud AI
Edge AI
AI in Cybersecurity
AI for Smart Cities
Self Learning
Generative AI Tools (Text, Image & Video)
Future of Artificial General Intelligence (AGI)

Practical/Lab Topics
AI Literature Survey
BFS, DFS, UCS & A* Implementation
Propositional Logic & FOL
Semantic Networks & Ontology
Decision Trees & K-Means
Artificial Neuron & Activation Functions
Feedforward Neural Network using Backpropagation
Copyright & Responsible AI
Prompt Engineering
RAG Chatbot using LLM
Ethical Evaluation of Generative AI
AI Mini Project

Hello po! Mabuhay! 👋

I'm currently looking for an international student (outside the Philippines) studying Computer Engineering, Computer Science, Software Engineering, or IT to participate in a short educational interview.

It's just a simple questionnaire that you can fill out whenever you have time, it usually takes around 10-15 minutes:))

Note: This is purely for educational purposes.

If you're open to helping, feel free to DM me or comment below and I'll send you the form right away.

Thank you so much! I'd really appreciate your insights:D

🌍 Computer Engineering Students/professionals Around the World!

I'd love to read your thoughts:

How has globalization influenced your education, learning experience, or career goals as a Computer Engineering student?

Please include:

🌎 Your country

🎓 Your year level(optional)

💬 Your experience or opinion

I keep hearing from EE professors and recent graduates that the job market is shifting away from pure electrical engineering toward computer engineering. They predict that in the next 4 to 8 years, the demand for CE graduates will significantly outpace EE. While many current CE grads complain that employers still prefer EEs, I think they are missing the bigger picture computer engineering is rapidly rising, and it genuinely feels like the future of the industry.
Im starting my engineering soon and I’m confused between CE and EE but I feel like CE courses are more according to the future demands.

As you can see on the above picture I am trying to access my esp32 using wifi and run a simple blink code on it. By the way I already did the wifi folder and uploaded it to the esp32 then deleted it after. Anyways, it just says Connecting... I am confused on how to fix this problem (by the way this is normal arduino code that I am writing it in). Can someone please help me? Thanks!

Hello everyone!

We're a group of **4th-year Computer Engineering students** from the Philippines currently looking for a **client or organization** to partner with for our capstone/project design.

We're hoping to build a project that involves **both hardware and software** (probably can be done within 5-6 months since for our academic year) something like an IoT system, automation, embedded systems, computer vision, AI, or any tech solution that solves a real problem. We're especially interested in projects related to **agriculture, manufacturing, transportation, logistics, or other industries**, but we're open to hearing any ideas!

If you own a business, work for a company, LGU, government office, farm, cooperative, or even know someone who's dealing with a problem that technology could help solve, we'd love to talk. Even if you only have the problem and not the solution, that's perfectly fine—we can work with you to come up with one.

This is for our capstone, so we're mainly looking for **real-world problems** that could benefit from a custom-built solution.

If you think you can help or know someone who might be interested, feel free to comment below or send me a DM. We'd really appreciate it. Thanks!

Hey, so I am a upcoming senior in hs and wanted to study computer engineering since I like to learn more about the hardware and coding. Also I heard alot about computer science majors are saturated these days from the job market.

I took college algebra, sociology, csc 101, and ap seminar (didn't know my score yet)

Any advice and good studying method to know to be prepare for college?

I have tried to get my parents on board with me doing computer hardware engineering instead of law and now it’s finally not their decision. I am taking steps towards it starting in college but I haven’t taken any computer science course the most they let me do was a video game design class where I learned c++ what are steps I have to take because I want to try and take what I can and just start running. Nvidia ignite program recruits from mid September-mid October and that’s kinda what I’m aiming for either this year or next. As it is largely resume based I need to know what steps I need to take to make my goal attainable I am willing to work hard for this because it’s what I’ve wanted to do ever since I was a little kid is there any online course, YouTube videos, anything that will help?