Dr. Gurinderjeet Kaur
PhD Computer Science Tutor Specializing in Python, R, Java, C++, SQL, JavaScript, HTML, CSS, AI, and Data Science with Proven Experience
Loading...
Show all photos
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
About your coding tutor - Dr. Gurinderjeet
I am a dedicated Computer Science educator and coding mentor with over 15 years of academic and industry experience. My teaching philosophy focuses on simplifying complex programming concepts and making them accessible to learners of all levels—whether kids taking their first steps in coding, school and college students preparing for exams, or professionals seeking to upskill. I specialize in Python, Java, C++, C, R, SQL, .NET, and more, and I also provide strong guidance in data science, AI, and software development. Beyond teaching theory, I emphasize hands-on coding, real-world projects, and problem-solving strategies. My expertise includes assignment and project guidance, debugging, code review, optimization, competitive programming, and job interview preparation. I tailor each session to individual needs—whether it’s homework help, exam prep, project completion, or career readiness. By creating a supportive and engaging learning environment, I help students build confidence, improve logical thinking, and develop coding skills that prepare them for future academic success and career opportunities. Let’s embark on this coding journey together to unlock your full potential and shape a brighter, tech-savvy future!
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India
Coding tutor specialities
Exam prep
Project help
Job readiness
Upskilling
Assignment help
Learner types for coding classes
Coding for Kids
Coding for School students
Home schooled
Coding for Beginners
Coding for Adults
Coding for College students
Coding class highlights
My teaching methodology is centered on making complex concepts simple, engaging, and practical. I use a blended approach that combines hands-on coding, problem-solving exercises, conceptual discussions, and project-based learning. I believe students learn best when theory is reinforced through real-world applications, so I design step-by-step tutorials and coding challenges that gradually build confidence and skills. I adapt my teaching style to each learner’s pace, using visual aids, analogies, and examples to strengthen understanding. I also incorporate interactive platforms, coding tools, and collaborative discussions to encourage participation. My goal is to create an inclusive, supportive, and motivating learning environment where students not only master technical skills but also develop critical thinking and problem-solving abilities that prepare them for academic and professional success.
Dr. Gurinderjeet - Coding tutor also teaches
DOS
R Programming
.NET
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining
.svg){kind=icon}
10 day Refund
.svg){kind=icon}
Free Tutor Swap
Coding concepts taught by Dr. Gurinderjeet
The student practiced problem-solving, with a specific focus on recursive function calls and careful calculation. The tutor provided detailed feedback on the student's answers and emphasized the importance of methodical approaches, especially when dealing with complex functions. A follow-up session was scheduled to go over detailed solutions and address any remaining doubts.
Code Debugging and Accuracy
Recursive Function Calls
Problem-Solving with Loops and Iterations
The student and tutor discussed Python data structures, focusing on the differences between mutable lists and immutable tuples. They clarified the syntax and behavior of each, with the tutor explaining immutability and providing examples. The tutor also briefly reviewed comparison operators.
Lists vs. Tuples
Tuple Immutability Explained
Accessing Tuple Elements
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.
Understanding Loops and Conditional Statements
Code Execution Without a Compiler: Manual Simulation
Exam Strategy: Avoiding Rushing and Silly Mistakes
Data Structures: Arrays and Their Manipulation
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.
Python Dictionaries: Key-Value Pairs
Iterating Through Dictionaries
Dictionary Comprehensions
Case-Insensitive Username Checking
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.
fsolve Function in MATLAB
Tearing Method for Complex Systems
Nonlinear Equation Solvers in MATLAB
Reactor Modeling and Mass Balance
Approach & tools used by coding tutor
Xcode
PyCharm
Jupyter Notebook
NetBeans
Google Colab
Visual Studio Code
Postman
Hands-on coding classes
Note taking
Open Q&A
Pets are welcomed
Parent feedback
Mobile joining
Programming tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.