Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
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Dr. Gurinderjeet Kaur
Doctorate degree
/ 55 min
Dr. Gurinderjeet - Know your tutor
Hello, I am Dr. Gurinderjeet Kaur, a dedicated computer science educator with a Doctorate in Computer Science Engineering. I simplify complex concepts and emphasize a hands-on learning approach, guiding students through coding exercises and real-world projects. My goal is to help students build practical skills, confidence, and critical thinking. I specialize in Computer Science, CSS, Databases, HTML, Java, JavaScript, Matlab, Python, R, SQL, Artificial Intelligence, Microsoft Excel, C, C++, and Coding for Kids. Additionally, I teach Mathematics and Science up to grade 10 level. Whether you're a school student, a college learner, or a professional, I tailor lessons to fit your level. Additionally, I can also teach Mathematics and Science subjects up to grade 10 level. My teaching approach in these subjects emphasizes clarity of concepts, with a focus on making abstract theories understandable through real-world examples and practical exercises. I tailor lessons to the learning pace of each student, ensuring that they grasp every concept fully before moving on. My teaching is interactive, encouraging curiosity and active participation. I focus on helping students apply their knowledge practically, fostering problem-solving abilities, and creating a supportive environment where they feel comfortable asking questions. Tailoring Learning for Every Level Whether you are a school student, college student, or a professional looking to upskill, I can cater to learners at all levels. I have experience teaching students with varying degrees of expertise and can adapt my teaching style to suit their individual needs.
Meet Dr. Gurinderjeet
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India


Programming tutor specialities
Exam prep
Advanced Placement (AP) Program (USA)
Test prep
Provincial-specific curriculum (CA)
GCSE (UK)
Upskilling
Next Generation Science Standards - NGSS (USA)
Paired coding
Common Core State Standards - CCSS (USA)
Assignment help
Project help
Australian Curriculum (AU)
Learner for programming class
Home schooled
School
College
All Levels
Adult / Professional
Programming class overview
My teaching style is designed to foster a supportive and interactive learning environment where students feel empowered to ask questions, share ideas, and collaborate with others. I firmly believe that the best learning happens when students are encouraged to think critically and apply their knowledge in real-world situations. I focus on: Interactive Learning: I regularly use live coding sessions, real-time problem-solving, and collaborative projects to ensure that students not only understand the material but can also apply it practically. This helps students stay engaged and gives them a sense of accomplishment when they see their code come to life. Encouraging Curiosity: I encourage students to ask questions and explore beyond the curriculum. In programming, learning never stops. I provide guidance on how to approach learning new languages, frameworks, or concepts on their own, fostering a spirit of curiosity that will benefit them long after the course ends. Practical Applications: Every concept I teach is paired with practical examples and real-world scenarios. Whether it's building a website, solving a complex algorithm problem, or developing an AI model, I ensure that students are ready to apply their skills in real-world environments.
Your programming tutor also teaches
App Development
Artificial Intelligence
Computer Science
Databases
Web Development

15 days Refund
Free Tutor Swap

Computer Science concepts taught by Dr. Gurinderjeet
The student and tutor reviewed the student's completion of practice papers and discussed thorough error checking. They confirmed the upcoming exam date and planned a series of intensive practice sessions for the days immediately preceding it, with the tutor scheduling most of these sessions.
Exam Preparation Strategy
Active Learning and Analysis
Structured Practice Sessions
The student and tutor worked through Python programming exercises, focusing on object-oriented concepts like class inheritance and instantiation. The student successfully applied these concepts to solve example questions, and they planned to book another class for the following week.
Object-Oriented Programming: Inheritance
Class Attributes and Methods
Instance Creation and Method Invocation
Using Loops and Membership Operators
The student and tutor worked on solving a differential equation using MATLAB. They focused on setting up the problem, utilizing the `ode45` solver, and plotting phase plane trajectories. The next session is scheduled for Friday to address any further questions the student may have after reviewing the material.
Solving Second-Order ODEs
Parameter Variation and Visualization
MATLAB `ode45` Solver and Syntax
Phase Plane Analysis
The student and tutor worked through a problem involving a Shell and tube heat exchanger, focusing on calculating its length using numerical integration techniques like Simpson's 3/8 rule. They discussed handling temperature-dependent fluid properties and the application of composite integration methods for accurate results. The session concluded with a recommendation for the student to research composite Simpson's rule further.
Temperature-Dependent Fluid Properties
Data Interpolation and Extrapolation
Numerical Integration: Simpson's 3x8 Rule
Shell and Tube Heat Exchanger Analysis
The tutor and student worked through review sets for a final exam, focusing on problem-solving and comparing student answers to provided solutions. The student demonstrated proficiency by arriving at similar correct answers, and they planned to meet again for further review.
Problem Set Navigation
Exam Practice and Solution Verification
Independent Problem Solving
The student and tutor worked through a problem involving numerical integration and differentiation, focusing on applying Simpson's rule and finite difference approximations in a coding context. They discussed the implementation details, code interpretation, and refining approximations to meet specific error requirements, with the tutor providing updated code examples for the student's review.
Quadratic Fitting and Interpolation
NumPy's `numel` function
Simpson's 1/3 Rule
Finite Difference Approximations
Teaching tools used by tutor
NetBeans
Android Studio
Bitbucket
Jupyter Notebook
Dynamic programming classes
Mobile joining
Parent feedback
Note taking
Record lessons
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