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Private teachers in Notre‑Dame‑de‑Grâce

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29 private teachers in Notre‑Dame‑de‑Grâce

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29 private teachers in Notre‑Dame‑de‑Grâce

Keivan - Montreal, 10C$72
C$72All 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
Mechanical engineering · Math · Statistics
Emma - Saint-Laurent, 10C$25
C$25Philosophy and/or sociology course for beginners or intermediate
***english below*** This course is for anyone who wants to learn a little more about philosophy or sociology. Whether it is strengthening knowledge for a pre-university diploma or simply out of intellectual curiosity, this course is for you. Make links. Here is the key word of my working method. I sincerely believe that disciplines such as philosophy or sociology lend themselves to a cross-analysis with other knowledge (moreover, historically, philosophy is anchored in mathematics!) The course will be organized the way the student wishes, thus leaving freedom of learning. What will not be of his goodwill will then be the content of the course, which will be at my expense and will allow, if possible, to cover all the problems and issues that the student wishes to talk about. ****** This course is for anyone who wants to learn more about philosophy or sociology. Whether it's to reinforce your knowledges for a pre-university degree or just for intellectual curiosity, this course is for you. Making connections. This is the keyword of my working method. I sincerely believe that disciplines such as philosophy or sociology lend themselves to cross-analysis with other knowledge (besides, historically, philosophy is rooted in mathematics!) The course will be organized in the way the student wants it to be, thus allowing freedom of learning. What will not be of his or her own free will be the content of the course, which will be my responsibility and will allow, if possible, to cover all the problems and issues that the student wishes to discuss.
Philosophy · Sociology
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Eric - Montreal, 10C$45
C$45MONTREAL GUITAR COURSE (NDG) GUITAR COURSE (NDG)
Trusted teacher: MONTREAL GUITAR COURSE (NDG) The art and practice of the guitar can be very inspiring, rewarding and fulfilling. What would be your criteria for choosing a guitar class? An effective educational approach An effective pedagogical approach and proper training are essential to learning the guitar. It is important to develop a good understanding of musical language, a correct application of technique to progress in a balanced way with confidence. Learn at your own pace, step by step according to your personal goals. A sincere commitment to students A sincere commitment to the student, at all stages of development, is the cornerstone that will help students feel confident and inspired to develop their full potential and artistic vision, whatever they may be. Why choose Eric as a teacher? 1. Many years of teaching experience. 2. Welcome to beginners and non-beginners, from primary level (ages 7 and up) to adults. 3. Exam preparation for music schools and recitals. 4. Graduate professor with experience (MA in Composition, Music, U. of M.). 5. Teaches at any level: 6 Directory of the guitar 7 Theory and analysis of music 8 Reading skills o Comprehension and rhythmic training o Creativity and composition o Health and prevention issues related to music practice o Writing songs o Electronic music and film music 6. Teach all styles: o Classic o Pop o folk o Blues o Jazz o And more 7. Health and prevention issues related to musical practice 8. Competitive rates and bilingual education. 9. Located in Notre-Dame-de-Grace, NDG (near the Villa-Maria and Vendome subways). 10. Guaranteed results.
Guitar
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Private coding / programming lessons with python (Paris)
Matías
Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Tuition Math - Physics - Chemistry - Biology (Mexico City)
Raef
I found Dr. Ralf to be a wonderful Teacher. The things that he taught me through online helped me a great deal in this class as well as in statistic level. Because of the help and attention that He provided me with, I understand and enjoy Statistics. The class was great in that he didn’t just give the answers away – he made me THINK. This was sort of frustrating, but it helped me understand the material much better. I would recommend him as a Teacher for future classes, without a doubt.
Review by AHMED

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