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

Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India

Programming tutor specialities

A-Levels (UK) icon

A-Levels (UK)

Next Generation Science Standards - NGSS (USA) icon

Next Generation Science Standards - NGSS (USA)

Paired coding icon

Paired coding

Assignment help icon

Assignment help

Advanced Placement (AP) Program (USA) icon

Advanced Placement (AP) Program (USA)

GCSE (UK) icon

GCSE (UK)

Homework help icon

Homework help

Debugging icon

Debugging

Upskilling icon

Upskilling

Common Core State Standards - CCSS (USA) icon

Common Core State Standards - CCSS (USA)

Test prep icon

Test prep

State-Specific Standards (USA) icon

State-Specific Standards (USA)

Learner for programming class

School icon

School

All Levels icon

All Levels

Adult / Professional icon

Adult / Professional

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College

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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

App Development

Artificial Intelligence

Artificial Intelligence

Computer Science

Computer Science

Databases

Databases

Web Development

Web Development

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15 days Refund

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Computer Science concepts taught by Dr. Gurinderjeet

Student learned about 23 hours ago

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

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Student learned 3 days ago

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

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Student learned 4 days ago

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

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Student learned 4 days ago

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

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Student learned 6 days ago

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

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Student learned 9 days ago

The tutor and student reviewed Python dictionary iteration techniques. The student practiced looping through keys, values, and key-value pairs using `for` loops with `.values()` and `.items()` methods. They planned to continue practicing with exercises.

Iterating Through Dictionary Values

Iterating Through Key-Value Pairs

Iterating Through Dictionaries by Keys

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Teaching tools used by tutor

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Jupyter Notebook

Android Studio image

Android Studio

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NetBeans

Bitbucket image

Bitbucket

Dynamic programming classes

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Note taking

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Parent feedback

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Record lessons

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Pets are welcomed

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Mobile joining

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