Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
Loading...



Show all photos
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
A-Levels (UK)
Next Generation Science Standards - NGSS (USA)
Paired coding
Assignment help
Advanced Placement (AP) Program (USA)
GCSE (UK)
Homework help
Debugging
Upskilling
Common Core State Standards - CCSS (USA)
Test prep
State-Specific Standards (USA)
Learner for programming class
School
All Levels
Adult / Professional
College
Home schooled
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 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.
NumPy's `numel` function
Quadratic Fitting and Interpolation
Finite Difference Approximations
Simpson's 1/3 Rule
The tutor and student focused on enhancing a student's audio analysis project using Python and FFT, while also reinforcing fundamental Python programming concepts through hands-on exercises. The student was assigned to review theoretical definitions and practice coding exercises independently for future sessions.
Fast Fourier Transform (FFT) for Frequency Analysis
Python Libraries for Audio Analysis
Understanding Audio Waveforms and Properties
AI-Assisted Code Generation and Explanation
The Tutor introduced the concept of classes in programming, explaining their role in organizing data and methods to represent real-world entities. The Student practiced creating objects from a class and initializing their attributes using the `__init__` constructor. They also explored defining methods for class objects.
Objects: Instances of Classes
Classes: Blueprints for Objects
The `self` Parameter in Classes
The tutor and student worked through problems related to chemical engineering thermodynamics, focusing on calculating fugacity and enthalpy change of gases. They practiced numerical methods like finite differences and Simpson's rule for integration. Further practice sessions were scheduled to cover remaining problems.
Avoiding Division by Zero in Numerical Methods
Numerical Integration: Trapezoidal vs. Simpson's Rule
Finite Difference Approximation for Derivatives
Fugacity and its Calculation using Z
The student and tutor worked on problems involving numerical differentiation and integration using MATLAB. They practiced applying formulas like the three-point forward difference and explored MATLAB functions such as `find`, `trapz`, `polyfit`, and `polyval`. The session concluded with a plan to cover remaining problems in subsequent sessions.
MATLAB Implementation for Integration
Numerical Integration: Trapezoidal Rule
Finite Differences and Approximating Derivatives
Iterating Through Dictionary Values
Iterating Through Key-Value Pairs
Iterating Through Dictionaries by Keys
Teaching tools used by tutor
Jupyter Notebook
Android Studio
NetBeans
Bitbucket
Dynamic programming classes
Note taking
Parent feedback
Record lessons
Pets are welcomed
Mobile joining
Find programming tutors in similar subjects

Coding tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
