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All MATH ENGR MECH Courses (Mechanical Engineering)
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
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
Location
Online via webcam
At teacher's location: Côte-des-Neiges / Ridgewood, Chemin de la Côte-des-Neiges, Montreal, QC, Canada
|
Use ⊞+wheel to zoom!
General info
Age: | Adults (18-64 years old) |
---|---|
Student level: | Beginner Intermediate Advanced |
Duration: | 90 minutes |
The class is taught in: | English, French, Arabic, Persian |
About Me
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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from £41.68At teacher's location
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Online reputation
- Instructor since June 2021
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from £41.68At teacher's location
from £41.68Online via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.
In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.
For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.
Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.
Mohamed
12 years teaching Mathematics in high school. I offer math support classesAs a highly qualified maths teacher, a graduate of the college of teachers and with 11 years of teaching experience in public high schools, I am happy to offer tutoring lessons in mathematics at home for students from level T and Common Core Sciences, TC Technological, 1st Baccalaureate Experimental Sciences and final of all the sectors (SVT-PC-SC.Math-L), as well as for the classes of 2nd and 1st general, Terminale specialty of the French system, as well than the 5th, 4th and 3rd levels of college.
My primary objective is to help students improve their level, deepen their knowledge, assimilate their lessons, fill their gaps and improve their skills in the discipline of mathematics. In addition, I am perfectly able to support them in the preparation of their exams and competitions for access to the Grandes Ecoles, and to provide them with homework help so that they can succeed in this subject.
With my advanced math skills and knowledge, I am confident that I can provide my students with effective tools and techniques to help them progress. My goal is to give them confidence and help them develop a passion for mathematics, a subject that can seem daunting at first, but can be exciting and rewarding if taught in an interesting and fun way.
By choosing my tutoring courses in mathematics, students can expect to receive individual attention and personalized help to overcome their difficulties and achieve their goals. My teaching approach is interactive and student-centered, which allows for a deeper understanding of mathematical concepts and a more practical application of acquired knowledge.
In summary, I am confident in my skills as a math teacher to help students of all levels progress and succeed in this demanding subject. I am convinced that my dynamic and stimulating teaching methods will help my students achieve their math goals and build a confidence that will follow them throughout their lives.