Manasa S
Spark your engineering passion with interactive and detailed lessons!
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Manasa S
Bachelors degree
Enroll after the free trial
Each lesson is 55 min
50 lessons
20% off
/ lesson
30 lessons
15% off
/ lesson
20 lessons
10% off
/ lesson
10 lessons
5% off
/ lesson
5 lessons
-
/ lesson
1 lessons
-
/ lesson
About your engineering tutor
Hello, I'm Manasa S, a Masters graduate specialized in Power Electronics. My teaching philosophy revolves around making complex Engineering concepts easy to understand. I believe in engaging students through interactive learning methods, practical examples, and real-world applications. With expertise in Electronics and Electrical Engineering, I cater to students at all levels in College. Join me on a learning journey where we can explore and conquer Engineering Sciences together!
Meet Manasa
Manasa graduated from Visvesvaraya technological University
Engineering tutor specialities
Test prep
Common Core State Standards - CCSS (USA)
Upskilling
New Zealand Curriculum - NZC (NZ)
Lab work
Research paper
A-Levels (UK)
Provincial-specific curriculum (CA)
Technical presentation
Exam prep
International Baccalaureate (IB)
Student types for engineering class
ASD
College
Home schooled
ADHD
Learning Disabilities
All LevelsSchoolAdult / Professional
Engineering class snapshot
As an Electronics and Electrical Engineering tutor, I cater to college and all levels of students by making learning interactive, structured, and systematic. My teaching is concept-focused, detailed, and emphasizes problem-solving. I believe in a hands-on and practical approach to help students understand complex engineering concepts. I engage students in project-based assessments where they design and simulate engineering solutions, customizing simulations based on their engineering focus. Providing feedback on design projects, I use CAD models to illustrate areas for improvement. I also help students apply theoretical knowledge to practical design and innovation through CAD software.
Your engineering tutor also teaches
Electronics Engineering
Electrical Engineering
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining
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10 day Refund
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Free Tutor Swap
Engineering concepts taught by Manasa
The student and tutor extensively reviewed the concepts of Fourier Transforms and Fourier Series, differentiating their applications based on signal periodicity. They analyzed the mathematical formulations, specific transform pairs, and scaling properties, drawing comparisons to Laplace Transforms for signal analysis in the frequency domain.
Fourier Transform Definition and Application
Properties of Fourier Transforms
Laplace Transform vs. Fourier Transform
Time Domain vs. Frequency Domain
Fourier Series vs. Fourier Transform
The Student and Tutor reviewed a completed homework assignment on probabilistic methods, focusing on problems related to probability density functions, random variables, and various distributions. The student sought confirmation on their solutions and understanding of the underlying concepts. The next session will cover Fourier Transforms, and the student will provide notes in advance.
Uniform Distribution
Mixed Distributions
Cumulative Distribution Function (CDF)
Normalization Constant
Probability Density Function (PDF)
The student and tutor reviewed concepts related to signals and systems in preparation for an upcoming exam. They specifically addressed how to find the impulse response of a system, the criteria for causality, and the distinction between memoryless and memory systems, utilizing provided formulas and practice problems.
Convolution Properties for Shifted Signals
Memoryless vs. Memory Systems
System Causality
Impulse Response (h(n)) from System Equation
The student and tutor reviewed module five notes on probabilistic methods, focusing on the concepts of expectation and variance for discrete random variables. They worked through examples of calculating expectation and understanding its properties, followed by a discussion on variance and its definition. The student plans to practice more problems and send any specific questions to the tutor.
Discrete vs. Continuous Random Variables
Variance of a Random Variable
Linearity of Expectation
Expectation of a Discrete Random Variable
The Student and Tutor reviewed probability concepts from modules one through five, focusing on conditional probability, Bayes' theorem, and independence. They worked through examples and homework problems to prepare for an upcoming exam. The Student plans to review module five further and potentially book another session for additional practice.
Independence of Events
Probability Mass Function (PMF)
Conditional Probability and Bayes' Theorem
Probability Density Function (PDF)
The Student and Tutor reviewed the concepts of convolution for both discrete and continuous time systems, focusing on the summation and integral formulas, respectively. They discussed the derivation of these formulas, their properties, and the practical implications, including the use of graphical methods to determine signal overlap and solve problems. The Tutor encouraged the Student to practice problems and return with any further questions.
Properties of Convolution
Application in Digital Systems
Understanding Time Shifting and Flipping
Convolution Sum vs. Integral
Learning tools used by engineering tutor
Assessments
Practice worksheets
Quizzes
Digital whiteboard
Presentations
Hands-on engineering classes
Record lessons
Chat for quick help
Note taking
Open Q&A
Mobile joining
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