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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

Location

Online via webcam
At teacher's location: Côte-des-Neiges / Ridgewood, Chemin de la Côte-des-Neiges, Montreal, QC, Canada

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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 £42.18At teacher's location
from £42.18Online 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.

Online reputation

  • Instructor since June 2021
  • Google connected

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
1              
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12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00    
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00    
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
19              
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from £42.18At teacher's location
from £42.18Online 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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