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Since July 2023
Instructor since July 2023
Programming and Numerical Methods - Visual Basic for Applications (VBA)
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From 50 C$ /h
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In this class, you will be learning how to use Visual Basic for Applications (VBA) to program and solve engineering problems. The type of class can be adapted to your needs, from a beginner (VBA basics) to an experienced user (advanced numerical methods).

Complete Program:

Programming
-Introduction to Visual Basic for Applications (VBA)
-Subroutines basics: variables and syntax
-Indexed variables and input data
-Communication Excel/VBA: read and write to/from the worksheet
-Loops and conditional statements
-External Functions

Numerical Methods
-Introduction to numerical methods: linear, non-linear equations and convergence criteria
-Errors and approximations
-Solving non-linear equations – Bracketing methods: Bisection and False Position
-Solving non-linear equations – Iterative methods: Newton, Secant and Fixed Point
-Solving systems of linear equations – Direct methods (n < 1000): Gauss Elimination and LU Decomposition
-Solving systems of linear equations – Direct methods (n < 3): Substitution method and Crame Rule
-Solving systems of linear equations – Direct methods (Tridiagonal matrices): Thomas algorithm
-Solving systems of linear equations – Iterative methods (large matrices): Jacobi, Gauss-Seidel
-Solving systems of linear equations – Gauss-Seidel convergence and relaxations
-Solving systems of non-linear equations – Newton and Fixed-point
-Differentiation: Taylor series and approximations
-Differentiation: first and second order differences: centred, forward and backward
-Integration: Lagrange interpolating polynomials
-Integration: Trapezoidal, Simpson’s 1/3, Simpson’s 3/8 Rules
-Integration: Composite rules

Advanced Numerical Methods
-Introduction to ODE’s and PDE’s
-Solving ODE’s – Initial Value Problems: Euler and Runge-Kutta
-Solving ODE’s – Boundary Value Problems: Shooting Method, Finite Differences
-Solving ODE’s – Finite Differences for linear BVP: Gauss and Thomas
-Solving ODE’s – Finite Differences for non-linear BVP: Newton-Raphson, Gauss-Seidel
-Solving PDE’s – Discretization and transformation into SODE
-Solving PDE’s – Application to Elliptic and Navier-Stokes
-Solving PDE’s – SEDO’s Stiff problems: Runge-Kutta and Predictor/Corrector methods.
Extra information
Not required, but better to have access to a computer with Excel.
Location
location type icon
Online from Portugal
About Me
Doctor in Chemical Engineering
Specialised in programming, modelling and numerical methods

2022 – present | Senior CFD Researcher | University of Porto
Chaotic Flow Analysis for New Technology Development

2019 – 2022 | CFD Researcher | University of Porto
Mixing and Controlled Combustion

2017 – 2019 | CFD Researcher| University of Porto
Novel Lagrangian Algorithms for Flow Analysis

2016 – 2017 | Researcher | University of Porto
Evolutionary Algorithms for Process Optimisation
Education
Ph. D. Degree
2022 Ph. D. in Chemical and Biological Engineering
Faculdade de Engenharia da Universidade do Porto, Portugal

M. S. Degree
2017 M. S. in Chemical Engineering – Process and Product
Faculdade de Engenharia da Universidade do Porto, Portugal

Internship Program
2016 Algorithm Development for the Production of Carbon Nanofibers
École Nationale supérieure des Industries Chimiques, Nancy, France
Experience / Qualifications
8 years of experience:

Chaotic Flows: Strange Attractors & Poincaré Maps
Heat Transfer Analysis
Lagrangian Programming
Reactor Design
High-Performance Computing
Lean Controlled Combustion
Hydrogen Combustion
Particles Swarm Optimisation
Process Simulation
Cyclic Adsorption Modelling
Age
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
French
Portuguese
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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• Waves, oscillations, sound, optics, electricity, and magnetism according to the learner’s level
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• Acids, bases, oxidation-reduction, and introductory thermochemistry
• Properties and behaviour of engineering materials
• Metals, polymers, ceramics, composites, and material-selection principles when relevant
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• Engineering calculations and quantitative reasoning
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• Dimensional reasoning and unit consistency
• Design alternatives and trade-off analysis
• Verification and reasonableness checking
• Engineering decision making
• Design methodology and iterative improvement
• Interpreting technical specifications
• Connecting analysis to drawings, models, and deliverables
• Engineering-management and multidisciplinary project contexts

AUTOCAD & TECHNICAL DRAFTING
• AutoCAD interface and efficient workflows
• Coordinate systems and precise geometric construction
• 2D drafting fundamentals
• Layers, properties, object organization, and standards
• Blocks and reusable drawing content
• Dimensions, annotations, text, and hatching
• Model space and paper space
• Layouts, viewports, scales, and plotting
• Technical drawing principles
• Reading and interpreting engineering drawings
• Plans, sections, elevations, and details
• Drawing organization and documentation quality
• Advanced drafting workflows
• AutoCAD 3D concepts when relevant
• Improving speed, accuracy, and drawing consistency

BIM & REVIT WORKFLOWS
• BIM concepts and model-based thinking
• Revit project organization
• Levels and grids
• Walls, floors, roofs, and building elements
• Doors, windows, components, and families
• Views, sections, elevations, and schedules
• Annotation and documentation workflows
• Sheets and presentation standards
• View templates and graphical consistency
• Family-library organization
• BIM coordination principles
• Connecting models to professional documentation
• Developing structured Revit templates and repeatable workflows

3D MODELLING & PARAMETRIC DESIGN
• 3D geometric thinking
• Curves, surfaces, solids, and meshes
• Constructive and feature-based modelling concepts
• Precision modelling
• Product and engineering geometry
• Architectural and spatial modelling
• Rhino 3D workflows
• Grasshopper and visual parametric thinking
• Parameters, relationships, dependencies, and constraints
• Algorithmic generation of geometry
• Reusable and adaptive design logic
• Design iterations and controlled variation
• SolidWorks and Inventor workflows when relevant
• 3D Studio Max and visualization contexts when relevant
• Connecting models to drawings, analysis, fabrication, or presentation

CAD/CAM & MANUFACTURING WORKFLOWS
• From CAD geometry to manufacturable components
• Design-for-manufacturing principles
• Introduction to CAM concepts and machining strategies
• CNC fundamentals, coordinate systems, tools, operations, and toolpaths when relevant
• SolidWorks CAD/CAM workflows
• Verification, simulation, and interpretation of manufacturing outputs

GIS, MAPPING & SPATIAL ANALYSIS
• Foundations of Geographic Information Systems
• Spatial data models
• Vector and raster concepts
• Coordinate systems and projections
• Georeferencing
• Spatial data collection and organization
• Attribute data and database relationships
• Geodatabases
• Selection and spatial queries
• Buffering, overlay, proximity, and spatial analysis
• Thematic mapping
• Cartographic principles
• Spatial patterns and decision support
• ArcGIS Desktop and ArcGIS Pro workflows when relevant
• Remote-sensing and imagery concepts when relevant
• Integrating maps, analysis, and professional reporting

GRAPHIC DESIGN & VISUAL COMMUNICATION
• Principles of visual communication
• Composition and layout
• Visual hierarchy
• Typography
• Colour and contrast
• Image preparation and editing
• Vector graphics and illustration
• Technical diagrams and infographics
• Maps and spatial presentation
• Engineering and architectural presentation
• Portfolio and project-board development
• Presentation graphics
• Adobe Photoshop workflows
• Adobe Illustrator workflows
• Adobe InDesign workflows
• Connecting technical accuracy with visual clarity

Depending on your objectives, practical work may involve AutoCAD, Revit, BIM workflows, Rhino, Grasshopper, SolidWorks, Inventor, 3ds Max, ArcGIS Desktop, ArcGIS Pro, QGIS, Adobe Photoshop, Illustrator, InDesign, SketchUp, Figma, Canva or other relevant technical and design tools.

My teaching approach follows a structured workflow:
define the problem → understand the requirements → analyze the constraints → develop the geometry or data structure → create the drawing, model, or spatial analysis → verify accuracy → refine the solution → communicate it clearly

I do not simply demonstrate isolated commands. I help you understand why a workflow is appropriate, how information should be structured, how accuracy can be verified, how alternative solutions can be evaluated, and how the final technical idea should be communicated professionally.

We can work with your course syllabus, engineering problem, technical drawing, CAD file, Revit/BIM model, 3D model, parametric definition, GIS dataset, map, design project, portfolio, graphic layout, or professional workflow challenge.

Whether you are learning your first CAD commands, solving an engineering problem, developing a BIM workflow, building a 3D or parametric model, conducting spatial analysis, or improving technical visual communication, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent technical problem solver who can analyze, design, model, verify, visualize, and communicate solutions with confidence.
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- Modbus Protocol Introduction
- Modbus Frame Structure & Byte Analysis
- Modbus Exception Handling & Error Codes

Each module in this series is structured with core learning content followed by two mandatory practical components:
Challenge: A hands-on troubleshooting or design scenario to test your practical skills.
Audit: A checklist and verification quiz to ensure full mastery before moving to the next section.
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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
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Professeure ingénieure avec une trentaine d’années d’expérience dans l’enseignement dans une école d’ingénieurs

Je donne volontiers des cours de maths , sciences d’ingénieur en particulier en électronique, automatique et mathématiques appliquées
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Give your child or beginner student a fun, interactive, and encouraging environment to start speaking English with confidence!
These dynamic lessons are specifically tailored for young learners and absolute beginners to build strong language foundations through interactive activities, games, and practical practice.
What students will learn:
Foundational Vocabulary: Everyday words, colors, numbers, family, hobbies, and common objects.
Phonics & Pronunciation: Clear speaking habits, alphabet sounds, and accurate pronunciation right from the start.
Basic Grammar & Sentence Building: Simple structures to help students express themselves in complete sentences.
Interactive Speaking Practice: Guided activities, short stories, and visual aids designed to keep learning engaging and stress-free.
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Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation.

Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.
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In-depth study of mathematical concepts up to post-baccalaureate level.

Application of problem-solving methods to engineering sciences.

Coaching to find YOUR learning method and succeed in all your exams

Computer skills refresher course

Learning 3D modeling and engineering software
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### Courses in Mathematics, Physics, Chemistry and Engineering Sciences

As an engineering student in **mechatronics and instrumentation**, I offer private lessons tailored to the level and objectives of each student, **from middle school to higher education**.

My approach is progressive, clear, and geared towards understanding. The goal is to enable the student to **understand the concepts, master the problem-solving methods, and gradually gain autonomy**, rather than simply memorizing formulas.

**Mathematics:** algebra, functions, derivatives, integrals, differential equations, matrices, probability and statistics, with exercises adapted to the student's level.

**Physics and Chemistry:** mechanics, electricity, electromagnetism, thermodynamics, waves and physical phenomena, as well as the basics of chemistry. Concepts are explained through examples and concrete applications.

**Mechanics:** kinematics, statics, dynamics, energy, strength of materials, mechanical systems and modeling.

**Electricity and Electrotechnics:** electrical circuits, fundamental laws, direct and alternating current, electrical power, three-phase systems, electrical machines and basics of electrotechnics.

**Electronics:** electronic components, diodes, transistors, amplifiers, analog and digital circuits, as well as the basics of embedded systems.

My background in **mechatronics engineering and instrumentation** allows me to link different disciplines and offer a concrete approach through examples from **industry, automation, mechanical and electrical systems and instrumentation**.

Depending on the needs, the courses can be devoted to **understanding the course material, exercises, preparing for exams and tests, refresher courses or further study**.

Each session is tailored to the student's level in order to gradually build an effective working method and genuine autonomy.
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As a civil engineer with an EPFL degree, I have been working in a design office since 2020: excavations, retaining walls, foundations, numerical modeling, and site supervision. I mentor junior engineers and interns in this role, and I write reports explaining these calculations to clients who are not engineers.

I support students from EPFL, HES and vocational schools in the branches that filter: statics, strength of materials, reinforced concrete, soil mechanics and foundations.

We work on your past exams and series. For geotechnics and foundations, I show you how these calculations are actually carried out in the office and according to which standards, which makes the material much more understandable than a formula learned by heart.

I also cover technical professional maturity and preparation for admission to a University of Applied Sciences.

Tools I use daily: PLAXIS, GEO5, K-REA, AutoCAD and reading execution plans.

Online courses with a shared whiteboard, or in person in the Neuchâtel region.
Good-fit Instructor Guarantee
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