Systematic Reasoning and Logical Thinking for Computer Science

من 35.1 $ /س

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

المكان

عبر الانترنت من هولندا

من أنا؟

I am currently a postdoctoral researcher at Delft University of Technology

I like sharing my knowledge with others. I believe that teaching makes the knowledge I have acquired as a researcher much more valuable. In my idea, successful teachers have several qualities including knowledge, enthusiasm, and student-based teaching methods.

المستوى التعليمي

PhD: Mechanical Engineering, Applied Design, 2016
Masters degree: Mechanical Engineering, Applied Design, 2011
Bachelors degree: Mechanical Engineering, Solid mechanics, 2008

الخبرة / المؤهلات

My university teaching experience:
- Lecturer of Mechanical Engineering Design I, Materials Science, Dynamics, Engineering
Mathematics, Engineering Drawing I and II, Mechanics of Materials I and II
- Teaching assistant of Statics, Linear vibration, and Engineering drawing

السن

الأطفال (7-12 سنة)

شباب (13-17 سنة)

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

45 دقيقة

60 دقيقة

90 دقيقة

120 دقيقة

الدرس يدور باللغة

الإنجليزية

الفارسية

مهارات

منطق

علوم الكمبيوتر

Reason

المراجعات

الجاهزية في الأسبوع العادي

(GMT -04:00)

نيويورك

على الانترنت عبر كاميرا ويب

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Engineering Mathematics (Vector Calculus, Laplace Transforms, Differential Equations, Complex Integration)

35.1 $ /س

I hold a PhD in Mechanical Engineering and currently work as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).
Key topics that I teach for this course include:
• Calculus: Differentiation & integration, Multivariable calculus
• Linear Algebra: Matrices, vectors, systems of equations, Eigenvalues and eigenvectors
• Differential Equations: First- and second-order ODEs, Laplace transforms
• Complex Numbers: Polar form, Euler’s formula
• Vector Calculus: Gradient, divergence, curl, Line and surface integrals
• Series & Transforms: Taylor series, Fourier series

I understand that not all teachers excel in teaching Engineering and Mathematics courses and explaining their importance to students. Courses with strong mathematical backgrounds may become boring for students who lack a solid mathematical basis. To address this, I take a student-centered approach, starting from the basics to actively engage all students, including those with weaker mathematical backgrounds. I also provide practical examples to demonstrate the real-world significance of what they are learning, inspiring and fostering their interest in the subject matter.

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

33.89 $ /س

I hold a PhD in Mechanical Engineering and currently, I am working as a post-doctoral researcher in the Aerospace Engineering Faculty at TU Delft (Delft University of Technology).

I have extensive experience in teaching various Mechanical design packages, including LS-DYNA, ANSYS, APDL programming, ABAQUS, MATLAB, SolidWorks, Cura, and Symbolic MATLAB.

Some of the finite element modeling and numerical simulations I have worked on include:
- Multiscale finite element modeling for fatigue crack propagation in porous materials.
- Analysis of multiple-layer sandwich structures' resistance to bird-strike impact [Read paper].
- Investigation of debonding propagation in aluminum and glass/epoxy composite joints under fatigue loading using Fracture Mechanics principles.
- Computational prediction of the fatigue behavior of additively manufactured porous metallic biomaterials.
- Study of the effect of material type, stacking sequence, and impact location on pedestrian head injury in collisions.

If you have any additional questions before starting the class, please don't hesitate to ask me. I am here to help! :)

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Khalil

4.89

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If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Amin

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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Mohamed

4.89

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Whether you are a beginner writing your first lines of code or an advanced learner tackling complex concepts, I tailor lessons to suit your needs. Together, we will focus on practical skills, problem-solving, and real-world projects to make programming intuitive and rewarding. Let’s work together to turn your goals into achievements!

Dr.Ibrahim

4.89

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This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Dr.Ibrahim

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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Amal

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This mathematics course is aimed at students in lower or upper secondary education who wish to strengthen their basic skills, fill in gaps or effectively prepare for an exam.

We will work together on understanding key concepts (arithmetic, geometry, algebra, functions, etc.) through clear explanations, progressive exercises and a method adapted to the pace of each student.

The goal is to restore confidence, develop logic and reasoning skills, and make mathematics more accessible and concrete.

This course is also suitable for students in scientific, technical or linguistic fields who need regular or occasional support.

Raouf

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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

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).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

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?

Wissem

4.89

(66)

I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev

Laroussi

4.89

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Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.

Meriem

4.89

(66)

For computer science courses, I can teach children how to code with Python and C, and I can also teach high school students in the economics track how to study computer science.
For French, I can study children in primary, middle, and high school.
And above all, my class will be dynamic and have an atmosphere that will motivate the students.

Mohamed

4.89

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تُعتبر مهارات استخدام برامج مايكروسوفت أوفيس أساسية لكل طالب و عامل - نجد شريحة هامة من الناس لم تتعلم بالشكل الصحيح كيفية استخدامات هذه الأدوات بكفاءة.
هذه الدورة التدريبية برامج Word و Excel و PowerPoint تمكن المتلقي من تحصيل ما يحتاجه للوصول للاحتراف و الهدف المنشود، بدءًا من تنسيق المستندات الأساسي وحتى وظائف Excel المتقدمة.
إكسل (الأكثر شيوعاً):

الصيغ والدوال (VLOOKUP، INDEX/MATCH، IF، SUMIFS، والمزيد)
الجداول المحورية وتحليل البيانات
الرسوم البيانية ولوحات المعلومات الاحترافية
وحدات الماكرو و VBA - القضاء على المهام المتكررة

برنامج وورد: تنسيق المستندات الاحترافي، والأنماط، والجداول، ودمج المراسلات
باوربوينت: تصميم وهيكل عرض تقديمي نظيف واحترافي
في هذه الدورة العملية - نعمل مباشرةً على ملفاتك ومهامك الواقعية، وليس على تمارين عامة. ستكون تطبيقية أكتر من نظرية 80 و 20 في المئة.
مثالي للطلاب والباحثين عن عمل والمهنيين الإداريين وأي شخص يرغب في التوقف عن إضاعة الوقت في العمل اليدوي.

Kinan

4.89

(66)

I offer programming lessons for students who want to build strong foundations, improve their problem-solving skills, or get help with coursework and projects.

I am a Master’s student in HealthTech and Robotics in Strasbourg, with a strong background in engineering, mathematics, programming, and technical problem solving. I teach in a clear, patient, and structured way, with a focus on helping students understand the logic behind the code, not just copy solutions.

Depending on the student’s level and needs, I can help with programming fundamentals, algorithms, problem solving, debugging, and writing cleaner code. I mainly teach Python, MATLAB, C, and C++, and I can also help students understand basic embedded programming concepts and microcontroller-related work.

My goal is to make programming more understandable, less intimidating, and more practical, while helping each student build confidence and become more independent.

Rami

4.89

(66)

This class is designed to introduce students to the world of programming and technology in a simple, practical, and engaging way. Whether you are completely new or already have some basics, I adapt the lessons to your level.
We will cover topics such as:
Programming fundamentals using Python
Basics of web development (HTML, CSS, simple JavaScript)
Understanding how computers and the internet work
Problem-solving and logical thinking
Small hands-on projects to apply what you learn
My teaching approach is interactive and focused on practice rather than theory. Students will build real examples step by step, making learning both fun and useful.

Fatma

4.89

(66)

ما هو علم النفس؟ هو علم يجمع بين الدراسة العلمية والبحوث لفهم السلوك البشري وعمليات التفكير.
أهداف علم النفس: وصف السلوك، تفسيره، التنبؤ به، وتغييره أو تحسينه.
المواضيع الرئيسية للمبتدئين:
الشخصية: كيف نختلف عن بعضنا البعض.
الدوافع والعواطف: ما الذي يحرك سلوكنا.
التعلم والذاكرة: كيف نكتسب المعلومات ونخزنها.
الاضطرابات النفسية: فهم الصحة النفسية

Yasmina

4.89

(66)

This new dimension of our world can be challenging for some. This course covers the fundamentals of computer science, progressing to Python programming and other languages. We strive for excellence in this subject among middle and high school students.