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Since May 2026
Instructor since May 2026
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Smart Steps: Problem Solving for Computer Science and Engineering
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From 77 € /h
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Welcome to the starting line of how software actually works!
This class is designed for anyone curious about how we get computers to solve problems efficiently. You don’t need to be a math genius or an expert coder yet, this class is all about training your brain to think step-by-step.

What You'll Learn:
Thinking in Steps: How to take a big, messy problem and write clear instructions for a computer to follow.

Organizing Information: Discovering the best ways to store and arrange data.

Classic Strategies: Learning the smart, time-tested tricks programmers use to sort data, search for answers, and tackle tough tasks.

Think of this course as learning the blueprints behind your favorite apps and systems. By the end, you won't just be writing code, you'll understand the clever logic that makes that code run fast and smart.

If there is anything you would like to discuss or learn I am freely to that.
Extra information
It is preferred to have a personal laptop, though, it is not required.
Location
location type icon
Online from Switzerland
About Me
My name is Lamberto and I am a 22-year-old Italian Computer Science graduate. I completed my Bachelor’s degree in Computer Science at the Università della Svizzera Italiana (USI), and I am currently pursuing my Master’s degree in Computer Science at ETH Zurich, majoring in Machine Intelligence.
My academic journey began in 2022 when I enrolled in the Computer Science Bachelor program at USI. Prior to that, I attended the International School of Verona “Aleardo Aleardi,” where I completed both my international middle school program and a four-year Liceo delle Scienze Applicate pioneering program. This innovative program allowed students to achieve the Italian high school diploma in four years instead of five, while maintaining the same academic standards and outcomes. I graduated with a final grade of 100/100. During those years, I also completed a Dual Diploma Program in collaboration with a school in Miami, Florida, graduating with honors.
Throughout my university studies, I had the opportunity to broaden both my academic and personal horizons. I spent time living in different cities and countries, including Berlin, where I lived with a host family and attended a German school, strengthening my language skills and cultural adaptability. I also had the chance to exchange in Copenhagen, a true rewarding experience. These experiences taught me responsibility, open-mindedness, and the value of multicultural environments.
Over the years, my academic interests have evolved into a strong and focused passion for Machine Learning, algorithms, and problem-solving. What initially started as curiosity has grown into a genuine drive. I enjoy tackling complex challenges, transforming ideas into code, and deepening my understanding of intelligent systems. Innovation excites me, the rapid evolution of technology motivates me to learn continuously, refine my skills, and explore new concepts. For me, Computer Science is not just a field of study; it is a mindset that pushes me to think critically and creatively every day.
Alongside my academic path, sports have played a fundamental role in shaping who I am. I was a competitive football player for ten years before dedicating myself to sailing, where I competed professionally for over eight years. During this period, I achieved significant results, including ranking first nationally in my boat category and becoming Italian champion. More recently, I have developed a passion for long-distance running. On November 17th, 2024, after just over three months of preparation, I completed my first marathon in 3:39:36.
These experiences reflect my determination, discipline, and ability to commit fully to my goals, qualities that I bring into both my academic and personal life
Education
Master Degree in Computer Science - Machine Intelligence @ ETH Zurich
Bachelor Degree in Computer Science @ Universita della SVizzera Italiana
Double High school degree @ Mater Academy Miami,Florida
Liceo Scientifico @ Aleardo Aleardi Verona
International Middle school program @ Aleardo Aleardi Verona
Experience / Qualifications
CS student at ETH/USI with a passion for machine learning, algorithms, and athletics. Dedicated to continuous learning..
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
The class is taught in
English
Italian
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

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"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
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Writing custom scripts for your firm's specific workflows
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Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects
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Python class from basics to the advance from the students perspective with proper deep understanding of concepts.
Topics to be covered:
Basic Python and Programming fundamentals
Memory Management
OOPs
Data Structure and Algorithms
Libraries
Data analysis (using libraries Pandas, Numpy, etc.)
AI (ML, DL, RL, LLMs, RAG, Langchain etc.)

Maths using visualization of geometry, algebra, calculus, etc.
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