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Recently active
Since July 2026
Instructor since July 2026
Complex academic and professional goals become manageable when the objective is clear, the methodology is sound, the work is properly planned, and decisions are based on structured reasoning rather than improvisation.
I am a PhD-qualified engineer, university professor, published researcher, former senior academic leader, project practitioner, and multidisciplinary mentor with more than 30 years of experience across teaching, research, supervision, engineering, project planning, management, professional development, and decision support.
This class provides personalized guidance for university students, graduate researchers, engineers, professionals, managers, career changers, and adult learners. Depending on your objective, we can focus on one of three clearly defined pathways or connect them when your situation genuinely requires an integrated approach.
RESEARCH METHODS, THESIS & DISSERTATION
• Defining and narrowing a research problem
• Developing research questions and objectives
• Formulating hypotheses
• Building conceptual and theoretical frameworks
• Literature-review strategy and source evaluation
• Connecting theories, constructs, variables, and measurement
• Quantitative research design
• Qualitative research design
• Mixed-methods research
• Experimental, observational, survey, and case-study approaches
• Population and sampling decisions
• Sample-size considerations
• Questionnaire and survey design
• Reliability and validity
• Operationalization of variables
• Coding plans and data preparation
• Research ethics and responsible data handling
• Selecting appropriate analytical methods
• Developing a coherent data-analysis plan
• Interpreting quantitative and qualitative findings
• Structuring methodology and results chapters
• Connecting findings to research questions and hypotheses
• Discussion, limitations, implications, and recommendations
• Responding systematically to supervisor feedback
• Preparing to explain and defend methodological decisions
PROJECT MANAGEMENT & PROFESSIONAL EXECUTION
• Project objectives and success criteria
• Scope definition and requirements
• Work Breakdown Structure (WBS)
• Activity definition and sequencing
• Network diagrams
• Critical Path Method (CPM)
• PERT and schedule uncertainty
• Milestones and deliverables
• Resource planning and allocation
• Cost estimation and budgeting concepts
• Project scheduling and control
• Risk identification, analysis, and response planning
• Stakeholder analysis
• Communication planning
• Quality and performance monitoring
• Change management
• Traditional, Agile, and hybrid approaches
• Construction and engineering project contexts
• Microsoft Project workflows
• Primavera planning and scheduling
• Diagnosing delayed or underperforming projects
• Turning complex objectives into executable action plans
CAREER STRATEGY & INTERVIEW PREPARATION
• Clarifying career direction and professional objectives
• Identifying transferable skills
• Skills-gap analysis
• Career-transition planning
• Professional positioning and value proposition
• CV and résumé strategy
• Matching experience to job requirements
• Preparing for behavioral interviews
• Preparing for technical and analytical interviews
• Structuring evidence-based answers
• STAR and other response frameworks
• Developing strong professional examples and stories
• Mock-interview practice
• Diagnosing weak or unclear answers
• Communicating complex experience concisely
• Preparing for questions about strengths, weaknesses, conflict, leadership, failure, and problem solving
• Interview preparation for academic, technical, engineering, analytical, and management roles
• Building a realistic professional-development plan
My approach follows a common structured logic:
define the objective → diagnose the current situation → identify constraints → select the appropriate methodology → build the plan → execute → monitor → evaluate → communicate the result → improve
We can work with your research proposal, thesis plan, supervisor feedback, conceptual framework, questionnaire, methodology chapter, project schedule, WBS, risk register, MS Project or Primavera file, CV, job description, interview questions, or professional-development challenge.
I do not simply provide generic templates or ready-made answers. I help you understand why a method or strategy fits your situation, what assumptions it depends on, how to evaluate alternatives, how to detect weaknesses, and how to defend the final decision clearly.
Academic and professional integrity are essential. I provide teaching, methodological guidance, critical feedback, analytical support, planning, coaching, and supervision-style mentoring. I do not write assessed theses or dissertations, complete examinations, fabricate research results, or misrepresent a student’s or professional’s experience.
My goal is to help you become the genuine owner of your research, project, or professional path—able to explain your decisions, manage complexity, communicate clearly, and move forward independently.
I am a PhD-qualified engineer, university professor, published researcher, former senior academic leader, project practitioner, and multidisciplinary mentor with more than 30 years of experience across teaching, research, supervision, engineering, project planning, management, professional development, and decision support.
This class provides personalized guidance for university students, graduate researchers, engineers, professionals, managers, career changers, and adult learners. Depending on your objective, we can focus on one of three clearly defined pathways or connect them when your situation genuinely requires an integrated approach.
RESEARCH METHODS, THESIS & DISSERTATION
• Defining and narrowing a research problem
• Developing research questions and objectives
• Formulating hypotheses
• Building conceptual and theoretical frameworks
• Literature-review strategy and source evaluation
• Connecting theories, constructs, variables, and measurement
• Quantitative research design
• Qualitative research design
• Mixed-methods research
• Experimental, observational, survey, and case-study approaches
• Population and sampling decisions
• Sample-size considerations
• Questionnaire and survey design
• Reliability and validity
• Operationalization of variables
• Coding plans and data preparation
• Research ethics and responsible data handling
• Selecting appropriate analytical methods
• Developing a coherent data-analysis plan
• Interpreting quantitative and qualitative findings
• Structuring methodology and results chapters
• Connecting findings to research questions and hypotheses
• Discussion, limitations, implications, and recommendations
• Responding systematically to supervisor feedback
• Preparing to explain and defend methodological decisions
PROJECT MANAGEMENT & PROFESSIONAL EXECUTION
• Project objectives and success criteria
• Scope definition and requirements
• Work Breakdown Structure (WBS)
• Activity definition and sequencing
• Network diagrams
• Critical Path Method (CPM)
• PERT and schedule uncertainty
• Milestones and deliverables
• Resource planning and allocation
• Cost estimation and budgeting concepts
• Project scheduling and control
• Risk identification, analysis, and response planning
• Stakeholder analysis
• Communication planning
• Quality and performance monitoring
• Change management
• Traditional, Agile, and hybrid approaches
• Construction and engineering project contexts
• Microsoft Project workflows
• Primavera planning and scheduling
• Diagnosing delayed or underperforming projects
• Turning complex objectives into executable action plans
CAREER STRATEGY & INTERVIEW PREPARATION
• Clarifying career direction and professional objectives
• Identifying transferable skills
• Skills-gap analysis
• Career-transition planning
• Professional positioning and value proposition
• CV and résumé strategy
• Matching experience to job requirements
• Preparing for behavioral interviews
• Preparing for technical and analytical interviews
• Structuring evidence-based answers
• STAR and other response frameworks
• Developing strong professional examples and stories
• Mock-interview practice
• Diagnosing weak or unclear answers
• Communicating complex experience concisely
• Preparing for questions about strengths, weaknesses, conflict, leadership, failure, and problem solving
• Interview preparation for academic, technical, engineering, analytical, and management roles
• Building a realistic professional-development plan
My approach follows a common structured logic:
define the objective → diagnose the current situation → identify constraints → select the appropriate methodology → build the plan → execute → monitor → evaluate → communicate the result → improve
We can work with your research proposal, thesis plan, supervisor feedback, conceptual framework, questionnaire, methodology chapter, project schedule, WBS, risk register, MS Project or Primavera file, CV, job description, interview questions, or professional-development challenge.
I do not simply provide generic templates or ready-made answers. I help you understand why a method or strategy fits your situation, what assumptions it depends on, how to evaluate alternatives, how to detect weaknesses, and how to defend the final decision clearly.
Academic and professional integrity are essential. I provide teaching, methodological guidance, critical feedback, analytical support, planning, coaching, and supervision-style mentoring. I do not write assessed theses or dissertations, complete examinations, fabricate research results, or misrepresent a student’s or professional’s experience.
My goal is to help you become the genuine owner of your research, project, or professional path—able to explain your decisions, manage complexity, communicate clearly, and move forward independently.
Master Mathematics, Statistics & Data Analysis | Calculus, Probability, Econometrics & Visualization
27 CHF /h
Mathematics, statistics, and data analysis become much easier when formulas, reasoning, computation, and real-world interpretation are connected clearly.
I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, quantitative methods, mathematical problem solving, statistical analysis, research, engineering, data analysis, and professional decision support.
This class provides a structured and personalized learning pathway for school and university students, graduate researchers, engineers, professionals, and adult learners. Depending on your goals, we can focus on one specific area or connect several areas into a coherent program.
MATHEMATICS
• Arithmetic, fractions, ratios, percentages, and mathematical foundations
• Algebraic expressions, equations, inequalities, and systems
• Functions, graphs, and transformations
• Geometry and analytic geometry
• Trigonometry
• Precalculus
• Limits and continuity
• Differential calculus and applications
• Integral calculus and applications
• Sequences and series
• Multivariable calculus
• Linear algebra, matrices, vectors, and systems
• Differential equations
• Numerical methods
• Applied and engineering mathematics
STATISTICS, PROBABILITY & ECONOMETRICS
• Descriptive statistics
• Probability rules and probabilistic reasoning
• Random variables and probability distributions
• Sampling and sampling distributions
• Confidence intervals
• Hypothesis testing
• Correlation and regression
• Multiple regression
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time-series analysis and forecasting
• Mediation and moderation analysis
• Statistical modelling and predictive analysis
DATA ANALYSIS & VISUALIZATION
• Data organization and quality assessment
• Data cleaning and preparation
• Missing values, duplicates, inconsistencies, and outliers
• Exploratory data analysis
• Summary tables and analytical reporting
• PivotTables and aggregation
• Data visualization and appropriate chart selection
• Trend and pattern analysis
• KPI development and performance analysis
• Dashboard concepts and decision-support reporting
• Research and survey data preparation
• Interpretation and communication of analytical findings
Depending on your needs, practical work may involve Excel, SPSS, Stata, R, SAS, Power BI, SQL, Python, or other relevant analytical tools. Software is never treated as a substitute for understanding: I explain the reasoning behind the method, the assumptions involved, the meaning of the output, and how to verify whether the conclusion is sound.
My teaching approach follows a clear progression:
understand the problem → identify the appropriate concept or method → develop the reasoning → calculate or analyze → verify the result → interpret it → communicate the conclusion
We can work with your course syllabus, textbook, representative exercises, exam topics, dataset, statistical output, research question, spreadsheet, dashboard, engineering application, or professional analytical problem.
Whether you are rebuilding mathematical foundations, preparing for an examination, studying advanced calculus, learning statistics, conducting econometric analysis, interpreting research data, or developing practical analytical skills, I will adapt the sessions to your level, objectives, and pace.
My goal is not merely to help you obtain an answer, but to help you understand the reasoning, choose appropriate methods, verify results, interpret findings correctly, and solve new problems independently.
I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, quantitative methods, mathematical problem solving, statistical analysis, research, engineering, data analysis, and professional decision support.
This class provides a structured and personalized learning pathway for school and university students, graduate researchers, engineers, professionals, and adult learners. Depending on your goals, we can focus on one specific area or connect several areas into a coherent program.
MATHEMATICS
• Arithmetic, fractions, ratios, percentages, and mathematical foundations
• Algebraic expressions, equations, inequalities, and systems
• Functions, graphs, and transformations
• Geometry and analytic geometry
• Trigonometry
• Precalculus
• Limits and continuity
• Differential calculus and applications
• Integral calculus and applications
• Sequences and series
• Multivariable calculus
• Linear algebra, matrices, vectors, and systems
• Differential equations
• Numerical methods
• Applied and engineering mathematics
STATISTICS, PROBABILITY & ECONOMETRICS
• Descriptive statistics
• Probability rules and probabilistic reasoning
• Random variables and probability distributions
• Sampling and sampling distributions
• Confidence intervals
• Hypothesis testing
• Correlation and regression
• Multiple regression
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time-series analysis and forecasting
• Mediation and moderation analysis
• Statistical modelling and predictive analysis
DATA ANALYSIS & VISUALIZATION
• Data organization and quality assessment
• Data cleaning and preparation
• Missing values, duplicates, inconsistencies, and outliers
• Exploratory data analysis
• Summary tables and analytical reporting
• PivotTables and aggregation
• Data visualization and appropriate chart selection
• Trend and pattern analysis
• KPI development and performance analysis
• Dashboard concepts and decision-support reporting
• Research and survey data preparation
• Interpretation and communication of analytical findings
Depending on your needs, practical work may involve Excel, SPSS, Stata, R, SAS, Power BI, SQL, Python, or other relevant analytical tools. Software is never treated as a substitute for understanding: I explain the reasoning behind the method, the assumptions involved, the meaning of the output, and how to verify whether the conclusion is sound.
My teaching approach follows a clear progression:
understand the problem → identify the appropriate concept or method → develop the reasoning → calculate or analyze → verify the result → interpret it → communicate the conclusion
We can work with your course syllabus, textbook, representative exercises, exam topics, dataset, statistical output, research question, spreadsheet, dashboard, engineering application, or professional analytical problem.
Whether you are rebuilding mathematical foundations, preparing for an examination, studying advanced calculus, learning statistics, conducting econometric analysis, interpreting research data, or developing practical analytical skills, I will adapt the sessions to your level, objectives, and pace.
My goal is not merely to help you obtain an answer, but to help you understand the reasoning, choose appropriate methods, verify results, interpret findings correctly, and solve new problems independently.
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.
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.
27 CHF /h
Arabic becomes much easier when speaking, listening, reading, writing, grammar, and vocabulary are developed as connected skills rather than taught as isolated rules.
I am a native Arabic speaker, PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, training, mentoring, academic work, and personalized learning.
This class is designed for children, teenagers, university students, professionals, heritage learners, and adult learners who want to build a clear and confident command of Arabic. Lessons can be taught in Arabic, English, or French, allowing explanations to be adapted to the learner’s linguistic background and level.
Depending on your objectives, we can focus on one specific pathway or combine several skills into a structured learning program.
BEGINNER ARABIC & STRONG FOUNDATIONS
• Recognizing and writing Arabic letters
• Understanding isolated, initial, medial, and final letter forms
• Joining letters correctly
• Short and long vowels
• Fatḥa, ḍamma, kasra, sukūn, shadda, and tanwīn
• Reading syllables and simple words
• Pronunciation and articulation
• Essential vocabulary
• Building simple sentences
• Introducing yourself and communicating basic needs
• Developing confidence from the first stages of learning
SPEAKING, LISTENING & COMMUNICATION
• Everyday conversation
• Building practical vocabulary
• Asking and answering questions
• Describing people, places, events, and experiences
• Developing sentence fluency
• Listening comprehension
• Pronunciation and intelligibility
• Guided dialogues and role-play
• Expressing opinions and ideas
• Moving from short answers to connected speech
• Formal and informal communication according to need
• Modern Standard Arabic communication
• Levantine conversational Arabic when requested
• Building confidence for real-life interaction
READING & COMPREHENSION
• Accurate decoding of Arabic words
• Reading fully vocalized texts
• Progressing toward partially vocalized and unvocalized texts
• Reading fluency
• Punctuation and phrasing
• Vocabulary from context
• Understanding sentences and paragraphs
• Identifying main ideas and supporting details
• Narrative, descriptive, informational, and academic texts
• Reading strategies for unfamiliar passages
• Summarizing and discussing texts
• Progressive work with increasingly complex materials
WRITING & WRITTEN EXPRESSION
• Correct letter formation and word construction
• Spelling and dictation
• Building accurate sentences
• Connecting ideas coherently
• Writing descriptions and short paragraphs
• Personal and narrative writing
• Writing short stories
• Explanatory and argumentative writing
• Summaries and structured responses
• Academic paragraphs
• Formal written communication
• Editing for clarity, grammar, and coherence
• Developing an increasingly natural written style
GRAMMAR, MORPHOLOGY & LANGUAGE STRUCTURE
• Parts of speech
• Nominal and verbal sentences
• Gender and number
• Singular, dual, and plural forms
• Definite and indefinite nouns
• Adjectives and agreement
• Personal, attached, and demonstrative pronouns
• Prepositions
• Past, present, and imperative verbs
• Verb conjugation
• Basic verb patterns
• Negation
• Interrogative structures
• Relative pronouns
• كان وأخواتها
• إنّ وأخواتها
• Subject and object relationships
• Introduction to grammatical case endings
• Iʿrāb and syntactic analysis according to level
• Morphological patterns and word formation
• Advanced sentence analysis when required
ACADEMIC, PROFESSIONAL & ADVANCED ARABIC
• Academic vocabulary
• Formal written Arabic
• Reading complex texts
• Summarizing and synthesizing information
• Structured argumentation
• Research-related communication
• Professional correspondence
• Presentations and formal speaking
• Text analysis
• Improving precision and style
• Advanced grammar and syntax
• Editing Arabic writing
• Developing clarity, coherence, and linguistic accuracy
ARABIC FOR HERITAGE LEARNERS
• Strengthening reading when speaking ability is already stronger
• Connecting spoken Arabic to Modern Standard Arabic
• Correcting gaps in grammar and spelling
• Building confidence in writing
• Expanding vocabulary beyond everyday family communication
• Developing formal and academic Arabic
• Personalized progression for learners raised outside the Arab world
My teaching approach follows a clear progression:
understand → hear → pronounce → read → use → write → analyze → communicate independently
I do not teach Arabic as a disconnected collection of vocabulary lists and grammar rules. I connect language structure to meaningful texts, conversation, writing, and real communication. Depending on the learner’s age and level, lessons may include guided dialogues, fully vocalized texts, visual explanations, reading passages, grammar analysis, structured exercises, dictation, storytelling, writing tasks, and personalized practice.
We can work with your school curriculum, university course, textbook, reading difficulties, grammar questions, writing samples, professional objectives, heritage-language needs, or personal learning goals.
Whether you are learning your first Arabic letters, improving conversation, strengthening reading, mastering grammar, developing academic writing, or reconnecting with Arabic as a heritage language, I will adapt the sessions to your level, objectives, pace, and preferred learning style.
My goal is to help you understand Arabic as a living, structured, and expressive language—and to use it with increasing accuracy, confidence, and independence.
I am a native Arabic speaker, PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, training, mentoring, academic work, and personalized learning.
This class is designed for children, teenagers, university students, professionals, heritage learners, and adult learners who want to build a clear and confident command of Arabic. Lessons can be taught in Arabic, English, or French, allowing explanations to be adapted to the learner’s linguistic background and level.
Depending on your objectives, we can focus on one specific pathway or combine several skills into a structured learning program.
BEGINNER ARABIC & STRONG FOUNDATIONS
• Recognizing and writing Arabic letters
• Understanding isolated, initial, medial, and final letter forms
• Joining letters correctly
• Short and long vowels
• Fatḥa, ḍamma, kasra, sukūn, shadda, and tanwīn
• Reading syllables and simple words
• Pronunciation and articulation
• Essential vocabulary
• Building simple sentences
• Introducing yourself and communicating basic needs
• Developing confidence from the first stages of learning
SPEAKING, LISTENING & COMMUNICATION
• Everyday conversation
• Building practical vocabulary
• Asking and answering questions
• Describing people, places, events, and experiences
• Developing sentence fluency
• Listening comprehension
• Pronunciation and intelligibility
• Guided dialogues and role-play
• Expressing opinions and ideas
• Moving from short answers to connected speech
• Formal and informal communication according to need
• Modern Standard Arabic communication
• Levantine conversational Arabic when requested
• Building confidence for real-life interaction
READING & COMPREHENSION
• Accurate decoding of Arabic words
• Reading fully vocalized texts
• Progressing toward partially vocalized and unvocalized texts
• Reading fluency
• Punctuation and phrasing
• Vocabulary from context
• Understanding sentences and paragraphs
• Identifying main ideas and supporting details
• Narrative, descriptive, informational, and academic texts
• Reading strategies for unfamiliar passages
• Summarizing and discussing texts
• Progressive work with increasingly complex materials
WRITING & WRITTEN EXPRESSION
• Correct letter formation and word construction
• Spelling and dictation
• Building accurate sentences
• Connecting ideas coherently
• Writing descriptions and short paragraphs
• Personal and narrative writing
• Writing short stories
• Explanatory and argumentative writing
• Summaries and structured responses
• Academic paragraphs
• Formal written communication
• Editing for clarity, grammar, and coherence
• Developing an increasingly natural written style
GRAMMAR, MORPHOLOGY & LANGUAGE STRUCTURE
• Parts of speech
• Nominal and verbal sentences
• Gender and number
• Singular, dual, and plural forms
• Definite and indefinite nouns
• Adjectives and agreement
• Personal, attached, and demonstrative pronouns
• Prepositions
• Past, present, and imperative verbs
• Verb conjugation
• Basic verb patterns
• Negation
• Interrogative structures
• Relative pronouns
• كان وأخواتها
• إنّ وأخواتها
• Subject and object relationships
• Introduction to grammatical case endings
• Iʿrāb and syntactic analysis according to level
• Morphological patterns and word formation
• Advanced sentence analysis when required
ACADEMIC, PROFESSIONAL & ADVANCED ARABIC
• Academic vocabulary
• Formal written Arabic
• Reading complex texts
• Summarizing and synthesizing information
• Structured argumentation
• Research-related communication
• Professional correspondence
• Presentations and formal speaking
• Text analysis
• Improving precision and style
• Advanced grammar and syntax
• Editing Arabic writing
• Developing clarity, coherence, and linguistic accuracy
ARABIC FOR HERITAGE LEARNERS
• Strengthening reading when speaking ability is already stronger
• Connecting spoken Arabic to Modern Standard Arabic
• Correcting gaps in grammar and spelling
• Building confidence in writing
• Expanding vocabulary beyond everyday family communication
• Developing formal and academic Arabic
• Personalized progression for learners raised outside the Arab world
My teaching approach follows a clear progression:
understand → hear → pronounce → read → use → write → analyze → communicate independently
I do not teach Arabic as a disconnected collection of vocabulary lists and grammar rules. I connect language structure to meaningful texts, conversation, writing, and real communication. Depending on the learner’s age and level, lessons may include guided dialogues, fully vocalized texts, visual explanations, reading passages, grammar analysis, structured exercises, dictation, storytelling, writing tasks, and personalized practice.
We can work with your school curriculum, university course, textbook, reading difficulties, grammar questions, writing samples, professional objectives, heritage-language needs, or personal learning goals.
Whether you are learning your first Arabic letters, improving conversation, strengthening reading, mastering grammar, developing academic writing, or reconnecting with Arabic as a heritage language, I will adapt the sessions to your level, objectives, pace, and preferred learning style.
My goal is to help you understand Arabic as a living, structured, and expressive language—and to use it with increasing accuracy, confidence, and independence.
27 CHF /h
Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.
I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.
This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.
PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices
SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution
MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations
ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making
Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.
My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly
I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.
We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.
Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.
My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.
I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.
This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.
PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices
SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution
MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations
ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making
Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.
My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly
I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.
We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.
Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.
My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.
Ammar's video
1st lesson is backed
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