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Since December 2018
Instructor since December 2018
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Mécanique du Bâtiment
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From 114 C$ /h
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At student's location :
  • Around Montreal, 10, Canada
About Me
Professor available to accompany his students for the success of the courses.

Very passionate about teaching and research

Very precise and learning based on concrete examples
Education
Mr. Joël holds a doctorate (Ph.D. in Mechanical Engineering) from the École de Technologie Supérieure, Canada.
After his Professional Degree in Mechanical Engineering, he obtained his design engineering degree and a research master's degree in Mechanical Engineering, energy and environment option.
Experience / Qualifications
With more than 12 years of experience in teaching and research, Mr. Joël has solid skills to give you the necessary skills to succeed in your courses and projects.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Intermediate
Advanced
Duration
120 minutes
The class is taught in
French
English
Reviews
Availability of a typical week
(GMT -04:00)
New York
at home icon
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course is intended for students enrolled in preparatory classes for design engineering studies and all engineering students. Matrix calculation and applications
Differential and Integral Calculus, Ordinary Differential Equations and Partial Differential Equations, Multivariate Functions and Optimization, Laplace Transforms, Fourier Analysis, Engineering Applications
Read more
Error analysis, numerical resolution of nonlinear equations, numerical resolution of systems of linear equations, numerical resolutions of systems of nonlinear equations: iterative methods, interpolation, approximation, numerical integration, numerical resolutions of differential equations
Read more
Show more
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Adam
Advanced physics demands much more than the application of formulas: it requires a deep understanding of phenomena, a rigorous method of reasoning, and a genuine capacity for analysis.

For over 35 years, I have been supporting students in preparatory classes, universities and engineering schools in their progress in physics and engineering sciences.

My goal is to help you understand the fundamental concepts, solve exercises methodically, and prepare effectively for your exams or competitions.

Subjects taught
Mechanical
Electricity and Electromagnetism
Thermodynamics
Oscillations and waves
General Physics
Engineering Sciences
Methodology for solving scientific problems
An effective working method

Each session is tailored to your program and objectives.

We work from your course materials, tutorials, past papers or exam questions to identify the points of difficulty and acquire a solid problem-solving method.

I place particular emphasis on understanding physical concepts, scientific reasoning and writing quality, essential skills for success in scientific fields.

Course structure

The sessions take place entirely online with an interactive digital whiteboard and screen sharing.

Demonstrations, calculations, and exercises are carried out together in real time in order to immediately check understanding and correct reasoning errors.

Available formats

60-minute session

Ideal for preparing for a tutorial, understanding a difficult chapter or solving a complex exercise.

90-minute session

Recommended for refresher courses, exam preparation, midterms, or in-depth study of an important chapter.

My commitment

My goal is not just to help you pass an exam, but to enable you to understand physics with more method, confidence and autonomy.

Whether you are preparing for a preparatory class, a scientific degree or an engineering school, I will be happy to support you in your progress.
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Keivan
Dr. Keivan is a McGill University graduate with the following degrees:
Master of Mechanical Engineering (McGill)
Bachelor of Mechanical Engineering (McGill)
Doctor of Medicine M.D (Iran)
Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered.
For more information, you can contact Dr. Keivan at (514)4762075
Concordia Courses:
COMM 215: Business Statistics
COMP 233: Probability & Statistics
ECON 325: Mathematics for Economists I
ECON 326: Mathematics for Economists II
ELEC 275: Principles of Electrical Engineering
ENGR 213: Applied Ordinary Differential Equations
ENGR 233: Applied Advanced Calculus
ENGR 242: Statics
ENGR 243: Dynamics
ENGR 244: Mechanics of Material
ENGR 251: Thermodynamics I
ENGR 264: Signals and Systems I
ENGR 273: Basic Circuit Analysis
ENGR 301: Management Principals and Economics
ENGR 311: Calculus and Partial Differential Equations
ENGR 351: Thermodynamics II
ENGR 361: Fluid Mechanics I
ENGR 371: Probability and Statistics
ENGR 391: Numerical Methods
INDU 371: Random Processes
INTE 296: Discover Statistics
MATH 201: Elementary Functions
MATH 202: College Algebra
MATH 203: Differential and Integral Calculus I
MATH 204: Vectors and Matrices
MATH 205: Differential and Integral Calculus II
MATH 206: Algebra and Functions
MATH 208: Fundamental Mathematics I
MATH 209: Fundamental Mathematics II
MATH 251: Linear Algebra I
MATH 252: Linear Algebra II
MATH 264: Advanced Calculus I
MATH 265: Advanced Calculus II
MECH 211: Mechanical Engineering Drawing
MECH 215: Programming for Mechanical and Industrial
MECH 221: Material Science
MECH 313: Machine Drawing and Design
MECH 361: Fluid Mechanics II
MECH 368: Electronics for Mechanical Engineers
MECH 370: Modeling and Analysis of Dynamic Systems
MECH 371: Fundamentals of Control Systems
MECH 375: Mechanical Vibrations
MECH 6121: Aerodynamics
PHYS 204: Mechanics
PHYS 205: Electricity and Magnetism
PHYS 206: Waves and Optics
PSYC 315: Statistical Analysis I
PSYC 316: Statistical Analysis II
SOCI 212: Statistics I
SOCI 213: Statistics II
STAT 249: Probability I
STAT 250: Statistics
STAT 360: Linear Models

McGill Courses:
CIVE 205: Statics
CIVE 206: Dynamics
CIVE 207: Solid Mechanics
CIVE 290: Thermodynamics and Heat Transfer
CIVE 302: Probabilistic Systems
CIVE 320: Numerical Methods
CIVE 327: Fluid Mechanics and Hydraulics
ECON 208: Microeconomics Analysis and Applications
ECON 227: Economic Statistics
MATH 112: Fundamentals of Mathematics
MATH 122: Calculus for Management
MATH 123: Linear Algebra and Probability
MATH 133: Linear Algebra and Geometry
MATH 139: Calculus I with Pre-calculus
MATH 140: Calculus I
MATH 141: Calculus II
MATH 150: Calculus A
MATH 203: Principles of Statistics I
MATH 204: Principles of Statistics II
MATH 222: Calculus III
MATH 223: Linear Algebra
MATH 262: Intermediate Calculus
MATH 263: Ordinary Differential Equations for Engineers
MATH 270: Applied Linear Algebra
MATH 271: Linear Algebra and Partial Differential Equations
MATH 315: Ordinary Differential Equations
MATH 316: Complex Variables
MATH 323: Probability
MATH 324: Statistics
MATH 329: Theory of Interest
MECH 210 Mechanics I
MECH 220 Mechanics II
MECH 240 Thermodynamics I
MECH 289 Design Graphics
MECH 290: Design Graphic for Mechanical Engineers
MECH 309: Numerical Methods in Mechanical Engineering
MECH 314: Dynamics of Mechanisms
MECH 315: Mechanics III
MECH 361: Fluid Mechanics I
MECH 341: Thermodynamics II
MECH 346: Heat Transfer
MECH 383: Applied Electronics and Instrumentation
MECH 393: Machine Element Design
MECH 412: System Dynamics and Control
MECH 419: Advanced Mechanics of Systems
MECH 430: Fluid Mechanics II
MECH 513: Control Systems
MECH 533: Subsonic Aerodynamics
MECH 542: Spacecraft Dynamics
MECH 562: Advanced Fluid Mechanics
MECH 605: Applied Math I
MECH 642: Advanced Dynamics
MGCR 271: Business Statistics
MGSC 372: Advanced Business Statistics
PHYS 101: Introductory Physics – Mechanics
PHYS 102: Introductory Physics – Electromagnetism
PHYS 131: Mechanics and Waves
PHYS 142: Electromagnetism and Optics
PSYC 204: Introduction to Psychological Statistics
PSYC 305: Statistics for Experimental Design
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Ammar
Engineering and design become much easier when analysis, geometry, technical representation, digital modelling, spatial reasoning, and visual communication are connected within one coherent problem-solving process.

I am a PhD-qualified engineer, university professor, researcher, technical trainer, designer, and multidisciplinary consultant with more than 30 years of experience across engineering, teaching, project work, CAD, technical drawing, 3D modelling, GIS, visualization, information systems, and professional problem solving.

This class provides a personalized pathway for school and university students, engineering and design learners, architects and technicians, researchers, professionals, career changers, and adult learners. Depending on your goals, we can focus deeply on one specialized area or connect several areas within a complete technical workflow.

ENGINEERING DESIGN & PROBLEM SOLVING
• Understanding and structuring engineering problems
• Translating requirements into technical objectives
• Identifying constraints, assumptions, variables, and criteria
• Engineering calculations and quantitative reasoning
• Applied mechanics and engineering fundamentals when relevant
• 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

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, Adobe Photoshop, Illustrator, InDesign, 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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Contact Joël M.
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Adam
Advanced physics demands much more than the application of formulas: it requires a deep understanding of phenomena, a rigorous method of reasoning, and a genuine capacity for analysis.

For over 35 years, I have been supporting students in preparatory classes, universities and engineering schools in their progress in physics and engineering sciences.

My goal is to help you understand the fundamental concepts, solve exercises methodically, and prepare effectively for your exams or competitions.

Subjects taught
Mechanical
Electricity and Electromagnetism
Thermodynamics
Oscillations and waves
General Physics
Engineering Sciences
Methodology for solving scientific problems
An effective working method

Each session is tailored to your program and objectives.

We work from your course materials, tutorials, past papers or exam questions to identify the points of difficulty and acquire a solid problem-solving method.

I place particular emphasis on understanding physical concepts, scientific reasoning and writing quality, essential skills for success in scientific fields.

Course structure

The sessions take place entirely online with an interactive digital whiteboard and screen sharing.

Demonstrations, calculations, and exercises are carried out together in real time in order to immediately check understanding and correct reasoning errors.

Available formats

60-minute session

Ideal for preparing for a tutorial, understanding a difficult chapter or solving a complex exercise.

90-minute session

Recommended for refresher courses, exam preparation, midterms, or in-depth study of an important chapter.

My commitment

My goal is not just to help you pass an exam, but to enable you to understand physics with more method, confidence and autonomy.

Whether you are preparing for a preparatory class, a scientific degree or an engineering school, I will be happy to support you in your progress.
verified badge
Keivan
Dr. Keivan is a McGill University graduate with the following degrees:
Master of Mechanical Engineering (McGill)
Bachelor of Mechanical Engineering (McGill)
Doctor of Medicine M.D (Iran)
Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered.
For more information, you can contact Dr. Keivan at (514)4762075
Concordia Courses:
COMM 215: Business Statistics
COMP 233: Probability & Statistics
ECON 325: Mathematics for Economists I
ECON 326: Mathematics for Economists II
ELEC 275: Principles of Electrical Engineering
ENGR 213: Applied Ordinary Differential Equations
ENGR 233: Applied Advanced Calculus
ENGR 242: Statics
ENGR 243: Dynamics
ENGR 244: Mechanics of Material
ENGR 251: Thermodynamics I
ENGR 264: Signals and Systems I
ENGR 273: Basic Circuit Analysis
ENGR 301: Management Principals and Economics
ENGR 311: Calculus and Partial Differential Equations
ENGR 351: Thermodynamics II
ENGR 361: Fluid Mechanics I
ENGR 371: Probability and Statistics
ENGR 391: Numerical Methods
INDU 371: Random Processes
INTE 296: Discover Statistics
MATH 201: Elementary Functions
MATH 202: College Algebra
MATH 203: Differential and Integral Calculus I
MATH 204: Vectors and Matrices
MATH 205: Differential and Integral Calculus II
MATH 206: Algebra and Functions
MATH 208: Fundamental Mathematics I
MATH 209: Fundamental Mathematics II
MATH 251: Linear Algebra I
MATH 252: Linear Algebra II
MATH 264: Advanced Calculus I
MATH 265: Advanced Calculus II
MECH 211: Mechanical Engineering Drawing
MECH 215: Programming for Mechanical and Industrial
MECH 221: Material Science
MECH 313: Machine Drawing and Design
MECH 361: Fluid Mechanics II
MECH 368: Electronics for Mechanical Engineers
MECH 370: Modeling and Analysis of Dynamic Systems
MECH 371: Fundamentals of Control Systems
MECH 375: Mechanical Vibrations
MECH 6121: Aerodynamics
PHYS 204: Mechanics
PHYS 205: Electricity and Magnetism
PHYS 206: Waves and Optics
PSYC 315: Statistical Analysis I
PSYC 316: Statistical Analysis II
SOCI 212: Statistics I
SOCI 213: Statistics II
STAT 249: Probability I
STAT 250: Statistics
STAT 360: Linear Models

McGill Courses:
CIVE 205: Statics
CIVE 206: Dynamics
CIVE 207: Solid Mechanics
CIVE 290: Thermodynamics and Heat Transfer
CIVE 302: Probabilistic Systems
CIVE 320: Numerical Methods
CIVE 327: Fluid Mechanics and Hydraulics
ECON 208: Microeconomics Analysis and Applications
ECON 227: Economic Statistics
MATH 112: Fundamentals of Mathematics
MATH 122: Calculus for Management
MATH 123: Linear Algebra and Probability
MATH 133: Linear Algebra and Geometry
MATH 139: Calculus I with Pre-calculus
MATH 140: Calculus I
MATH 141: Calculus II
MATH 150: Calculus A
MATH 203: Principles of Statistics I
MATH 204: Principles of Statistics II
MATH 222: Calculus III
MATH 223: Linear Algebra
MATH 262: Intermediate Calculus
MATH 263: Ordinary Differential Equations for Engineers
MATH 270: Applied Linear Algebra
MATH 271: Linear Algebra and Partial Differential Equations
MATH 315: Ordinary Differential Equations
MATH 316: Complex Variables
MATH 323: Probability
MATH 324: Statistics
MATH 329: Theory of Interest
MECH 210 Mechanics I
MECH 220 Mechanics II
MECH 240 Thermodynamics I
MECH 289 Design Graphics
MECH 290: Design Graphic for Mechanical Engineers
MECH 309: Numerical Methods in Mechanical Engineering
MECH 314: Dynamics of Mechanisms
MECH 315: Mechanics III
MECH 361: Fluid Mechanics I
MECH 341: Thermodynamics II
MECH 346: Heat Transfer
MECH 383: Applied Electronics and Instrumentation
MECH 393: Machine Element Design
MECH 412: System Dynamics and Control
MECH 419: Advanced Mechanics of Systems
MECH 430: Fluid Mechanics II
MECH 513: Control Systems
MECH 533: Subsonic Aerodynamics
MECH 542: Spacecraft Dynamics
MECH 562: Advanced Fluid Mechanics
MECH 605: Applied Math I
MECH 642: Advanced Dynamics
MGCR 271: Business Statistics
MGSC 372: Advanced Business Statistics
PHYS 101: Introductory Physics – Mechanics
PHYS 102: Introductory Physics – Electromagnetism
PHYS 131: Mechanics and Waves
PHYS 142: Electromagnetism and Optics
PSYC 204: Introduction to Psychological Statistics
PSYC 305: Statistics for Experimental Design
verified badge
Ammar
Engineering and design become much easier when analysis, geometry, technical representation, digital modelling, spatial reasoning, and visual communication are connected within one coherent problem-solving process.

I am a PhD-qualified engineer, university professor, researcher, technical trainer, designer, and multidisciplinary consultant with more than 30 years of experience across engineering, teaching, project work, CAD, technical drawing, 3D modelling, GIS, visualization, information systems, and professional problem solving.

This class provides a personalized pathway for school and university students, engineering and design learners, architects and technicians, researchers, professionals, career changers, and adult learners. Depending on your goals, we can focus deeply on one specialized area or connect several areas within a complete technical workflow.

ENGINEERING DESIGN & PROBLEM SOLVING
• Understanding and structuring engineering problems
• Translating requirements into technical objectives
• Identifying constraints, assumptions, variables, and criteria
• Engineering calculations and quantitative reasoning
• Applied mechanics and engineering fundamentals when relevant
• 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

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, Adobe Photoshop, Illustrator, InDesign, 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.
Good-fit Instructor Guarantee
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Contact Joël M.