Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
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Dr. Gurinderjeet Kaur
Doctorate 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
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
Project help
Assignment help
Upskilling
GCSE (UK)
Paired coding
Job readiness
Exam prep
Next Generation Science Standards - NGSS (USA)
Common Core State Standards - CCSS (USA)
New Zealand Curriculum - NZC (NZ)
Test prep
Debugging
Learner for programming class
College
All Levels
Adult / Professional
School
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
Computer Science
Databases
Web Development
App Development
Artificial Intelligence
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Computer Science concepts taught by Dr. Gurinderjeet
The student and tutor worked on debugging a MATLAB script for numerical equation solving, specifically addressing issues with the `f0` function and handling invalid input ranges. They implemented strategies for element-wise division and introduced error handling for non-positive values of `x3`, and developed a multi-interval search strategy for `x4`. The next session will focus on curve fitting and understanding lecture slides.
Element-wise Operations in MATLAB
Handling Numerical Instability with Safe Intervals
Iterative Refinement and Interval Testing for Root Finding
Robust Root Finding with Error Handling
The student and tutor worked on practice problems for an upcoming third-quarter exam, which is a written-based test. They focused on solving coding problems manually without a compiler, emphasizing accuracy and the avoidance of common errors. The tutor planned to share detailed solutions and assign more practice problems for the next session.
Exam Strategy: Avoiding Rushing and Silly Mistakes
Data Structures: Arrays and Their Manipulation
Understanding Loops and Conditional Statements
Code Execution Without a Compiler: Manual Simulation
The student and tutor reviewed Python programming exercises related to conditional statements and then transitioned to learning about dictionaries. They discussed dictionary creation, accessing elements, and iterating through keys and values, with the student practicing these concepts and preparing to work through provided files and the textbook.
Case-Insensitive Username Checking
Dictionary Comprehensions
Iterating Through Dictionaries
Python Dictionaries: Key-Value Pairs
The Tutor guided the Student through understanding and applying MATLAB's `fsolve` function for solving systems of nonlinear equations, particularly in the context of chemical reaction engineering. They also introduced the "tearing method" for complex systems and debugged the Student's code, identifying an error in the Jacobian matrix calculation and suggesting a review of the equations.
Reactor Modeling and Mass Balance
Nonlinear Equation Solvers in MATLAB
Tearing Method for Complex Systems
fsolve Function in MATLAB
The Tutor and Student worked on implementing the Secant method in MATLAB to solve a system of non-linear equations. The discussion involved understanding the theoretical underpinnings of the method, translating lecture slide concepts into code, and debugging specific implementation details related to Jacobian approximation. They planned to continue working on the assignment and explore other methods in future sessions.
Jacobian Matrix Approximation via Finite Differences
Secant Method for Multiple Variables
Iterative Refinement of Solutions
The tutor and student reviewed concepts related to multiple linear regression, specifically Extra Sum of Squares (ESS), marginal effects, and hypothesis testing (Global F-test, marginal tests). They discussed the decomposition of sums of squares and the F-statistic calculation, with plans for the student to review the notes.
Marginal Effect and Marginal F-Test
Global F-Test
Sum of Squares Decomposition
Extra Sum of Squares (ESS)
Teaching tools used by tutor
Android Studio
Jupyter Notebook
NetBeans
Bitbucket
Dynamic programming classes
Open Q&A
Record lessons
Chat for quick help
Parent feedback
Mobile joining
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