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Since July 2024
Instructor since July 2024
Comprehensive Introduction to Computer Science Fundamentals
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From 19 £ /h
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### Computer Science Fundamentals Classes

#### Overview

Computer Science Fundamentals classes provide a comprehensive introduction to the core concepts and principles of computer science. These classes are designed for beginners and those looking to solidify their understanding of the basics. They cover a wide range of topics, from understanding how computers work to learning programming languages and exploring algorithms and data structures. Additionally, students will gain a basic understanding of computer hardware, including how to assemble a computer, and will engage in labs relating to cybersecurity principles.

#### Objectives

- **Understand Computer Systems and Hardware:** Gain insight into how computers and networks function, including hardware and software components, and learn how to assemble a computer.
- **Programming Proficiency:** Acquire the ability to write and debug code in one or more programming languages.
- **Algorithmic Thinking:** Understand and apply fundamental algorithms and data structures to optimize solutions.
- **Cybersecurity Awareness:** Understand basic cybersecurity principles and practices.

#### Topics Covered

1. **Introduction to Computer Science:**
- History and evolution of computing
- Overview of computer science fields
- Basic computer operations

2. **Basics of Computer Hardware:**
- Overview of computer hardware components (CPU, RAM, storage, etc.)
- How processors, memory, and storage work
- Assembling a computer: Step-by-step guide

3. **Programming Basics:**
- Basics of programming language
- Variables, data types, and operators
- Control structures: loops, conditionals, and functions
- Introduction to one or more programming languages (e.g., Python, Java)

4. **Data Structures:**
- Arrays, linked lists, stacks, and queues
- Trees, graphs, and hash tables
- Principles of organizing and managing data

5. **Algorithms:**
- Basic sorting and searching algorithms
- Algorithm analysis and Big O notation
- Recursion and dynamic programming

6. **Computer Architecture:**
- Overview of computer hardware
- How processors, memory, and storage work
- Basics of operating systems and how they manage resources

7. **Networking and Security:**
- Basics of computer networking
- Internet protocols and architecture
- Fundamental concepts in cybersecurity

#### Learning Outcomes

By the end of these classes, students will be able to:

- Demonstrate a solid understanding of computer science principles.
- Write, test, and debug programs in at least one programming language.
- Analyze and implement basic data structures and algorithms.
- Understand how computer hardware and software interact.
- Assemble a computer from individual components.
- Apply basic cybersecurity principles.

#### Who Should Enroll

These classes are ideal for:

- Children, teenagers, college students or adults beginning their journey in computer science.
- Professionals looking to transition into a tech-related career.
- Hobbyists and lifelong learners interested in understanding how computers and software work.

#### Methodology

- **Lectures:** Clear and engaging presentations of theoretical concepts.
- **Hands-on Labs:** Practical exercises and projects to apply what you've learned, including:
- Assembling a computer from individual components
- Labs on basic cybersecurity principles
- **Group Projects:** Collaborative assignments to enhance learning through teamwork.
- **Assessments:** Regular quizzes, assignments, and exams to gauge understanding and progress.

#### Industry-Ready Lessons

To ensure students are industry-ready, the course includes lessons on:

- **Basics of Computer Science in the Industry:**
- Understanding industry standards and best practices
- Familiarization with common tools and software used in the industry
- Overview of current trends and emerging technologies
- **Develop Problem-Solving Skills:**
- Learn how to approach and solve complex problems systematically.
- Practice with real-world scenarios and challenges.
- **Professional Development:**
- Resume building and interview preparation for tech roles
- Networking strategies and career planning
- Ethical considerations and responsibilities of a computer scientist

### Conclusion

Computer Science Fundamentals classes offer a thorough introduction to the essential concepts and skills needed in the field of computer science. Whether you are a beginner or looking to reinforce your foundational knowledge, these classes will equip you with the tools and understanding necessary to advance in the field of computer science and prepare you for a successful career in the industry.
Extra information
Computer Access: Students should have access to a computer with internet connectivity for coding practice, assignments, and accessing online resources.

Motivation and Curiosity: A keen interest in technology and a willingness to learn and explore new concepts are essential.
Location
location type icon
Online from United Kingdom
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
60 minutes
The class is taught in
English
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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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

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3: Learning to "talk" to AI (The Art of the Prompt)
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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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Bozhidar
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During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught:
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Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
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How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
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Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

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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".

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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?
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