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Discover the Best Private Numerical analysis Classes in Lisbon

For over a decade, our private Numerical analysis tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Lisbon, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 numerical analysis teacher in Lisbon

Trusted teacher: I am Mara, Lic. in Economics and Agrarian Administration from the University of Buenos Aires, expert in algebra, mathematics and mathematical analysis classes. I have worked for more than 23 years developing a method so that you can learn and pass these subjects. Since 1999 I have prepared almost 5700 students. I help all students and professionals who need to learn, improve or refresh their knowledge of these subjects and can make the most of their time! SUBJECTS AND LEVELS Math. - Faculty (Fcea, Fmed, Social Sciences, Fing, ORT, UCU, Catolica, UM, UDE, UTEC, UTU, INET, Tecnologo, Bios, among others): Math. Mathematical analysis. Algebra. Calculation 1, Calculation 1A and 1B. For high school students, analysts, graduates, engineers or others from institutes. - Personalized classes that adapt to your needs and schedules. - Clear and practical explanations so that you thoroughly understand your subjects. - Effective study and problem-solving strategies. Online Classes. I also record them and send them to you so you can see it again. I prepare you to take regular, final and free exams from all majors and universities, public and/or private, as well as secondary schools. What are the online classes like? Classes are individual and via Google Meet, Skype, Zoom. I also teach online group classes. I also have recorded courses on all the topics I explain. What is the teaching method like? If necessary, I explain step by step the topics "from scratch" or the topics that you need to see and we will look at your specific doubts. On your screen you will see “a marker” and how I develop the content step by step while we talk. I write all the explanations by hand. You can have a notebook and pencil next to you and a calculator as well while taking the class. At the end of the class I send you all the “virtual sheets that we saw” by email and exercises to practice. Do I have to have any math software installed to take the class? No. You just have to have a computer or phone.
Math · Algebra · Numerical analysis
Math · Numerical analysis · Algebra
Mathematics Support Course: Strengthen Your Foundations, Master Essential Concepts and Prepare for Academic Excellence This program is specially designed to support you in your progress in mathematics, whether to strengthen your basic skills, deepen key concepts or excel in your university studies. It is also aimed at students preparing for the Bac Sciences Mathématiques competitions, preparatory classes (CPGE), as well as Bac+2 and Bac+3 levels. With an effective methodology and adapted teaching tools, this course aims to guarantee your success in this demanding and strategic discipline. Join us to maximize your performance and achieve your academic goals! My main objective is to support students in their progress in mathematics, allowing them to strengthen their skills, deepen their knowledge, master their courses, fill their gaps and aim for excellence. I am also able to guide them effectively in preparing for their exams and entrance exams to the grandes écoles, while providing them with appropriate support for their homework, in order to guarantee their success. As a passionate teacher, I am convinced of my ability to help each student, whatever their level, to overcome their difficulties and excel in this demanding discipline. Through interactive, stimulating and adapted teaching methods, I aim to motivate my students, to give them lasting tools to succeed not only in mathematics, but also in their overall educational journey. I am convinced that my dynamic and engaging teaching approach will allow my students to achieve their goals in mathematics while developing self-confidence that will accompany them throughout their lives, both academically and personally. This course is designed to transform your understanding of mathematics into a true academic strength. Whether you are looking to strengthen your foundation, delve deeper into advanced concepts, or prepare to excel in your academic studies, this program is for you. Why choose this course? A complete and structured program: from essential basics to advanced concepts, each step is designed to give you a solid mastery of mathematics. Personalized approach: explanations adapted to your level and your pace to maximize your progress. Solving complex problems: varied exercises, detailed answers, and targeted training to develop your analytical skills. Preparation for academic challenges: anticipation of the expectations of university programs and preparation for the most demanding exams. What you will learn: 1. Strengthening the fundamentals: Review of essential concepts (algebra, analysis, geometry) to fill in the gaps. In-depth review of algebra: equations, linear systems, polynomials. Analysis of functions: limits, continuity, derivatives, integrals. Introduction to vector and analytical geometry. Concepts of mathematical logic and rigorous reasoning. 2. Deepening of key concepts: Exploration of advanced concepts needed for university courses. 3. Practical skills: Development of an ability to solve complex problems and apply mathematics in real-world contexts. Study of numerical series and sequences. In-depth analysis of vector spaces, matrices and determinants. Solving first and second order differential equations. Fundamental theorems (Intermediate value theorem, bounds theorem, etc.). Advanced concepts in integral and differential calculus. 4. Preparation for exams: Methodological advice, typical exercises and targeted revisions to maximize your results. Quick solution methods for exams. Study of typical problems and frequently asked questions in university courses. Practical approach: intensive training on exercises and corrected exams. Strategies for success in advanced courses such as functional analysis, linear algebra, and PDEs 5. Development of Advanced Skills: Introduction to mathematical modeling and its usefulness in science and engineering. Using mathematical software (Python, MATLAB, etc.) to solve complex problems. Applications of mathematics in various fields: physics, economics, statistics. Who is this course for? College students: Those who want to fill gaps or go beyond the requirements of their courses. Students in preparatory classes: For those who wish to prepare for the entrance exams for the grandes écoles. Math enthusiasts: Those who seek to enrich their understanding of mathematics and take on intellectual challenges. Professionals in retraining: For those who wish to master mathematics with a view to pursuing higher education or improving their skills. Benefit from transformative learning: Join this program and develop real mathematical expertise that will open the doors to academic and professional excellence. Let yourself be guided by innovative teaching and effective methods to achieve your goals. Expected results : By the end of this course, you will be able to: Solve complex mathematical problems methodically and confidently. Understand and apply advanced concepts in university mathematics. Achieve better results in your exams and successfully meet academic challenges. Develop analytical and logical thinking, which is essential in all areas. Register now and start your journey to math mastery!
Numerical analysis · Algebra · Math
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
Statistics · Math · Numerical analysis
As an experienced Mathematics educator, I employ various strategies to ensure my students remain actively engaged throughout their School Mathematics journey. Here are some key approaches I find effective: Fostering Emotional Connections Building strong relationships with students is crucial for engagement. I make an effort to get to know each student's interests and connect those interests to the subject matter whenever possible. Emotional intelligence is key - when students feel a personal connection to the teacher or the subject, their attention and commitment soar. Empathizing with Students Understanding where each student is academically and emotionally is essential for developing relevant, engaging lessons. I aim to have a diverse repertoire of teaching methods to cater to different learning styles and personalities. Showing students you empathize with their experiences and perspectives goes a long way in keeping them engaged. Promoting Active Learning Mathematics classes should be interactive and inquiry-based. I incorporate a variety of active learning techniques like discussions, group projects, and hands-on activities to keep students actively participating in their own learning. The IB curriculum encourages an inquiry-based approach, so I make sure to give students opportunities to ask questions and explore concepts. Connecting to the Real World Making real-world connections is key for engaging students in Mathematics. I strive to help students see how the concepts they're learning apply to current events, global issues, and their own lives. Relating the curriculum to the world beyond the classroom makes it more relevant and interesting for students. Maintaining High Expectations While Mathematics is challenging, I believe all students can succeed with the right support. I set high expectations for my students while also providing the guidance and resources they need to meet those expectations. Pushing students to challenge themselves while offering encouragement is a delicate balance, but one that keeps them engaged and motivated.
Numerical analysis
Business skills · Numerical analysis
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