Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
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Dr. Gurinderjeet Kaur
Doctorate degree
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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
Debugging
Job readiness
Project help
Australian Curriculum (AU)
Next Generation Science Standards - NGSS (USA)
A-Levels (UK)
Exam prep
Paired coding
Homework help
Upskilling
State-Specific Standards (USA)
Assignment help
Learner for programming class
Adult / Professional
College
Home schooled
All Levels
School
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

Computer Science concepts taught by Dr. Gurinderjeet
The session covered two main academic topics: calculating the cosine function using the Maclaurin series in MATLAB and solving a system of linear equations derived from a material balance problem using MATLAB's backslash operator. The student practiced implementing these concepts in MATLAB code, and follow-up sessions were planned to address the student's foundational understanding of coding and linear algebra.
Unit Conversion: Degrees to Radians
MATLAB for Solving Linear Systems
Iterative Approximation with Stopping Criteria
McLaren Series Expansion for Cosine
The Tutor and Student reviewed fundamental Java programming concepts, focusing on primitive data types, their differences (e.g., `char` vs. `String`), arithmetic operators, and operator precedence. They practiced evaluating expressions and discussed type casting, Math class functions, and escape sequences. The next session will continue with Module 3 and begin Module 4.
Java Primitive Data Types
Operators and Expression Precedence
Type Casting and Data Type Conversion
Character vs. String Data Types
Java Math Methods
The class reviewed advanced algorithmic concepts, including graph partitioning with approximation algorithms and linear programming formulation. They then transitioned to streaming algorithms for approximate counting and concluded with graph coloring problems, covering randomized algorithms and Markov chains.
Approximation Algorithms (1/4th)
Linear Programming Formulation
Streaming Algorithms & Space Complexity
Random Walk Algorithms for Graph Coloring
The Tutor and Student reviewed Python programming concepts, including input functions, formatted strings (f-strings), advanced input handling with splitting and mapping, and various data types such as integers, floats, strings, lists, tuples, dictionaries, sets, booleans, and complex numbers. They also practiced type casting and discussed the use of the `range()` function, with plans to continue next session. The discussion also included scheduling for future classes.
Input Function and Type Casting
Sequence Data Types: Strings
Lists
and Tuples
Data Types: Integers
Floats
and Complex Numbers
Splitting Input and the `map` Function
The tutor and student reviewed string immutability and discussed methods for creating new strings based on existing ones. They then explored string iteration using for loops and accessing characters by index with `len()` and `range()`. The session concluded with an explanation of string comparison, membership operators, and character type checking methods.
String Predicate Functions
ASCII Values and String Comparison
Membership Operator (`in`)
String Length and Indexing
String Iteration with For Loops
String Immutability
The Tutor and Student reviewed various Python string manipulation techniques, including concatenation, repetition, and the use of built-in methods like `lower()`, `upper()`, `strip()`, `replace()`, `find()`, and `split()`. They also practiced string formatting with `.format()` and f-strings, and learned about escape characters and raw strings. The next session is scheduled for tomorrow at 3 p.m.
Escape Characters and Raw Strings
Formatted String Output
Finding and Joining Strings
String Methods: Case
Whitespace
and Replacement
String Concatenation and Repetition
Teaching tools used by tutor
Bitbucket
NetBeans
Android Studio
Jupyter Notebook
Dynamic programming classes
Chat for quick help
Open Q&A
Pets are welcomed
Record lessons
Parent feedback
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