Prahlad
Certified Tutor
My personal philosophy on teaching and learning is founded around my cumulative experiences as a student, instructor, mentor and researcher. Having been an active participant from both sides of the classroom, in university settings, I know that successful learning is synonymous with long term retention, which in-turn facilitates the ability to apply knowledge and think laterally when the opportune moment presents itself in the real-world. To truly learn is to discover knowledge through experience and lots of practice which invokes the confidence to overcome challenges while simultaneously lifting inhibitions in regard to tackling new problems. To facilitate such an experience within a classroom environment is especially possible in subjects like mathematics and the physical sciences, by facilitating a working knowledge of contemporary issues in the science through articulation of real-world examples and providing opportunity for hands-on problem solving through exercises. Scientists, leaders and instructors effectively teach when they simultaneously impart information and nurture an environment that offers students the opportunity to discover a new subject while maintaining a channel for continuous closed-loop feedback, to ensure that the pace of subject-matter delivery and the student-specific rate of retention are in step. My teaching style is a literal embodiment of the above statements.
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Undergraduate Degree: National Institute of Technology India - Bachelors, B.Tech Mechanical Engineering
Graduate Degree: Carnegie Mellon University - PHD, Mechanical & Biomedical Engineering
Medical image analysis, algorithmic trading on the stock markets and guitars!
- Algebra
- Algebra 2
- AP Physics 2
- Basic Computer Literacy
- Bioinformatics
- Biomedical Engineering
- Biostatistics
- Business
- C
- C++
- Calculus
- College Computer Science
- Competition Math
- Computer Programming
- Computer Science
- Data Science
- Data Structures
- Discrete Math
- Econometrics
- Electrical and Computer Engineering
- Finite Mathematics
- Geometry
- GMAT Quantitative
- Graduate Test Prep
- GRE Analytical Writing
- High School Computer Science
- Life Sciences
- Linux
- Machine Learning
- Math
- MATLAB
- Mechanical Engineering
- Microsoft Excel
- Microsoft Office
- Pre-Algebra
- Pre-Calculus
- Python
- R Programming
- Science
- SQL
- Statistics
- Statistics Graduate Level
- Technology and Coding
- Thermodynamics
- Trigonometry
- Web Development
What is your teaching philosophy?
My personal philosophy on teaching and learning is founded around my cumulative experiences as a student, instructor, mentor, and researcher. Having been an active participant from both sides of the classroom, in university settings, has taught me that successful learning is defined by long-term retention which facilitates the ability to apply knowledge and think laterally when the opportune moment presents itself. To truly learn is to discover understanding through experience, which invokes the ability to overcome new challenges. To facilitate such an experience within a classroom environment is especially possible in subjects like mathematics and physical sciences by facilitating a working knowledge of contemporary issues in the science, through the articulation of real-world examples and providing an opportunity for hands-on problem solving, both in and out of the classroom. Scientists, leaders, and instructors effectively teach when they simultaneously provide information and facilitate the environment that offers students opportunity to discover their learning experience, while maintaining a channel for real-time and continuous closed-loop feedback. My teaching style is a literal embodiment of the above statements.
What might you do in a typical first session with a student?
1) Discussion of the student's background and subject-specific interests/motivations to learn the subject of the lesson/tutorial. 2) Syllabus: a review of the subject matter and scope of the tutorial or tutorial series.