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Trusted teacher
This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since February 2020
Instructor since February 2020
Mathematics (Secondary, Post Secondary, College and University)
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From 26 C$ /h
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This is a private class. But I accept group sessions too with the same pricing in case you would like to take the class with your friends/classmates.
Online / Student Place / University of Montreal
For information about the tutor scroll down.
Extra information
Please have your pen and paper ready, those would be for you to practice inside the class with the teacher, no need to take notes in my class, only carefully listen and practice, I will be writing the notes for each class in a separate booklet/file with the title and dates and give it/send it to you at the end of each class. For online classes it's recommended to have a writing pad so we can do some exercises but its not required I can share my screen and write for you.
Location
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At student's location :
  • Around Montreal, 10, Canada
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At teacher's location :
  • 2900 Bd Édouard-Montpetit, Montreal, QC H3T 1J4, Canada
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Online from Canada
About Me
I live in Montreal. I am 25 years old. I am a doctoral student in pure mathematics specialized in symplectic geometry at University of Montréal. I have taught math for a few years now in different levels. I aim to stay in academia and do research in math for future.
Education
Phd in pure Mathematics, University of Montreal. 2021--
Masters in Mathematics, Concordia University. 2019-2021
Bachelors in Mathematics, University of Tehran. 2015-2019
Experience / Qualifications
Visiting student at University of California Berkeley in Berkeley, Summer 2022.
Summer school at Ecole Normale Superieure in Paris, Summer 2020.
DMS scholarship, Université de Montreal, 2021-2025.
Merit scholarship, Concordia University, 2019-2021.
ITAE Scholarship, Concordia University, 2019-2021.
Gold Medal in International Mathematics Competition, Bulgaria, 2018.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
English
Persian
Skills
Reviews
Availability of a typical week
(GMT -04:00)
New York
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At teacher's location and via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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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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Devv
As an Industrial Engineering student at Concordia University, I have a strong foundation in these subjects, having graduated from the International Baccalaureate with excellence in these specific areas.

My passion for science and commitment to helping others succeed academically inspired me to seek out this knowledge sharing opportunity. Having myself benefited from individualized education during my school career, I understand the importance of a personalized approach to meet the unique needs of each student.

My experience as an industrial engineering student allowed me to develop problem-solving, communication and teaching skills. I am able to explain complex concepts clearly and concisely, while encouraging my students to develop a deep understanding of the topics covered.

I am convinced that my technical skills and my ability to teach effectively make me an ideal candidate for this tutor position. I am flexible in terms of schedules and ready to adapt to the needs of my students.
This mathematics repetition course aims to provide students with the tools necessary to consolidate their foundations in mathematics and develop their skills in this essential area. Tailored to the individual needs of each student, this program provides personalized support to overcome specific difficulties encountered in various areas of mathematics.

At the end of the course, students will be able to:

Master the fundamental mathematical concepts covered in the program.
Effectively apply problem-solving methods to resolve varied situations in mathematics.
Analyze and interpret mathematical data in real-world contexts.
Use skills learned in mathematics in other academic and professional areas.
Pedagogical approach:

This course favors a practical and interactive approach, emphasizing the resolution of concrete problems and the application of mathematical concepts to real situations. Lessons are structured to encourage active student participation and foster a dynamic learning environment.
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Contact Habib
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Similar classes
arrow icon previousarrow icon next
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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
verified badge
Devv
As an Industrial Engineering student at Concordia University, I have a strong foundation in these subjects, having graduated from the International Baccalaureate with excellence in these specific areas.

My passion for science and commitment to helping others succeed academically inspired me to seek out this knowledge sharing opportunity. Having myself benefited from individualized education during my school career, I understand the importance of a personalized approach to meet the unique needs of each student.

My experience as an industrial engineering student allowed me to develop problem-solving, communication and teaching skills. I am able to explain complex concepts clearly and concisely, while encouraging my students to develop a deep understanding of the topics covered.

I am convinced that my technical skills and my ability to teach effectively make me an ideal candidate for this tutor position. I am flexible in terms of schedules and ready to adapt to the needs of my students.
This mathematics repetition course aims to provide students with the tools necessary to consolidate their foundations in mathematics and develop their skills in this essential area. Tailored to the individual needs of each student, this program provides personalized support to overcome specific difficulties encountered in various areas of mathematics.

At the end of the course, students will be able to:

Master the fundamental mathematical concepts covered in the program.
Effectively apply problem-solving methods to resolve varied situations in mathematics.
Analyze and interpret mathematical data in real-world contexts.
Use skills learned in mathematics in other academic and professional areas.
Pedagogical approach:

This course favors a practical and interactive approach, emphasizing the resolution of concrete problems and the application of mathematical concepts to real situations. Lessons are structured to encourage active student participation and foster a dynamic learning environment.
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