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


Programming tutor specialities
Paired coding
GCSE (UK)
Provincial-specific curriculum (CA)
Upskilling
Test prep
Homework help
Australian Curriculum (AU)
Next Generation Science Standards - NGSS (USA)
Common Core State Standards - CCSS (USA)
Job readiness
A-Levels (UK)
Debugging
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner for programming class
Adult / Professional
All Levels
School
Home schooled
College
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

Computer Science concepts taught by Dr. Gurinderjeet
Student and Tutor engaged in a comprehensive session on Python's fundamental data structures: lists, tuples, and dictionaries. They practiced various operations on lists, including indexing, slicing, and methods, and explored list comprehensions. The session also covered the difference between copying and aliasing, and the distinct characteristics of immutable tuples and key-value-based dictionaries, with plans to continue tomorrow.
Tuples: Immutable Sequences
Python Collections: Lists
Tuples
& Dictionaries
Copy vs. Alias (Shallow vs. Reference Copy)
Dictionaries: Key-Value Mappings
List Comprehensions
List Manipulation and Indexing
The Student and Tutor reviewed fundamental concepts in software testing, including white, black, and gray box testing, as well as the differences between defects of commission and omission. They also explored the nuances of branch coverage and the importance of individually testing logical conditions. The session was shortened, and they agreed to dedicate additional time tomorrow to review a past paper question on Control Flow Graphs (CFG).
Limitations of Branch Coverage for Logical Predicates
White
Black
and Gray Box Testing
Condition and Decision Coverage
Defect of Commission vs. Defect of Omission
The Student and Tutor reviewed key concepts in Regression Testing, including test minimization and prioritization techniques, using examples from the course material. They discussed the theoretical underpinnings and practical application of greedy and unique-coverage approaches. The Student planned to practice these concepts, and the next session will cover coverage criteria, control flow graphs (CFG), and black/white/gray box testing.
Test Prioritization Techniques
Test Minimization Strategies
Regression Testing Fundamentals
Transitioning to New Learning Modules
Effective Solution Verification
Utilizing Structured Practice Sets
Independent Programming Practice
The session focused on Python programming, specifically reviewing data types and control flow structures. The student demonstrated their implementation of integer input validation and float comparison using tolerance. They then began working on Module 3, which covers control flow and loops, with a particular emphasis on `while` loops, `break`, `continue`, and `enumerate`, and discussed plans for further practice and a combined review session.
Input Validation with Error Handling
Floating-Point Comparisons and Tolerance
Control Flow: Loops (while and for)
Enumerate Function for Iteration
Programming Test and Solution Review
Object-Oriented Programming (OOP) Review
Code Length and Similarity
Teaching tools used by tutor
Bitbucket
Jupyter Notebook
NetBeans
Android Studio
Dynamic programming classes
Record lessons
Pets are welcomed
Open Q&A
Chat for quick help
Mobile joining
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