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
Common Core State Standards - CCSS (USA)
A-Levels (UK)
Homework help
Test prep
Job readiness
Australian Curriculum (AU)
Provincial-specific curriculum (CA)
Assignment help
Advanced Placement (AP) Program (USA)
Project help
GCSE (UK)
Exam prep
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
College
Adult / Professional
All Levels
Home schooled
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
App Development
Artificial Intelligence
Computer Science
Databases
Web Development

Computer Science concepts taught by Dr. Gurinderjeet
The session started with the Student reviewing their practice on Python dictionaries, confirming a solid understanding of dictionary operations. The class then introduced a new module on strings and text processing, covering fundamental concepts, string manipulation methods, and formatting. The Tutor expressed satisfaction with the Student's progress and outlined future plans for a project and a level one test after completing three more modules.
Escape Characters and `repr()` Function
Text Processing Methods: `split()`
`strip()`
`join()`
String Formatting: Precision with f-strings
Python Strings: Fundamentals and Immutability
Python Dictionaries: Recap and Safe Retrieval
The Student and Tutor reviewed two major software testing techniques: Search-Based Software Testing (SBST) and fuzzing. They covered the underlying principles, components, and workflow for each, including the role of fitness functions and genetic algorithms. The session concluded with a brief discussion on a past paper question about greedy test prioritization, for which the Tutor committed to providing a detailed example solution.
SBST Components & Fitness Function
Whitebox Fuzzing and Limitations
Fuzzing Workflow: Input Generation & Execution
Fuzzing (Fuzz Testing) Fundamentals
Genetic Algorithms (GAs) in SBST
Search-Based Software Testing (SBST) Overview
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.
Copy vs. Alias (Shallow vs. Reference Copy)
Tuples: Immutable Sequences
Dictionaries: Key-Value Mappings
List Comprehensions
Python Collections: Lists
Tuples
& Dictionaries
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).
Defect of Commission vs. Defect of Omission
White
Black
and Gray Box Testing
Limitations of Branch Coverage for Logical Predicates
Condition and Decision Coverage
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.
Regression Testing Fundamentals
Test Minimization Strategies
Test Prioritization Techniques
Transitioning to New Learning Modules
Effective Solution Verification
Utilizing Structured Practice Sets
Independent Programming Practice
Teaching tools used by tutor
Bitbucket
NetBeans
Android Studio
Jupyter Notebook
Dynamic programming classes
Note taking
Pets are welcomed
Chat for quick help
Open Q&A
Parent feedback
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