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Since May 2026
Instructor since May 2026
Smart Steps: Problem Solving for Computer Science and Engineering
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From 77.01 € /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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🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

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📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
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With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
verified badge
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✅ Learn Python from the beginning
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Variables

Loops

Functions

Data structures

Practical projects for implementation

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Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

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Helping you understand the logic behind the code

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verified badge
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Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
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".

4: Precautions and Critical Thinking (The Survival Guide)
"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?
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Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.
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This class is perfect for students who are new to programming and want to learn how to code in Java and Python. We will start from the basics and slowly build up confidence by learning how programs work, how to write simple code, and how to solve problems step by step. Lessons include easy examples, practice exercises, and clear explanations. No previous coding experience is needed—just curiosity and willingness to learn.
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This course introduces fundamental concepts of cybersecurity, covering theoretical knowledge and practical laboratory experience.

Students will learn essential cybersecurity principles including security threats, protection mechanisms, network security basics, and ethical security practices.

The course combines theory with hands-on practical training using Kali Linux, which is commonly used for security testing and learning cybersecurity tools.

Topics include understanding common cyber threats, basic defensive techniques, and introduction to security tools and environments. The course is designed to help students build awareness of cybersecurity concepts and develop practical skills.

Teaching is structured to provide clear explanation of theoretical foundations followed by guided practical exercises.

📚 Topics Covered

• Introduction to cybersecurity concepts
• Types of cyber threats and vulnerabilities
• Basic network security principles
• Ethical security practices
• Security awareness fundamentals
• Practical labs using Kali Linux tools
• Introduction to penetration testing concepts
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