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
Assignment help
GCSE (UK)
Common Core State Standards - CCSS (USA)
New Zealand Curriculum - NZC (NZ)
Australian Curriculum (AU)
Exam prep
Test prep
Next Generation Science Standards - NGSS (USA)
Upskilling
Debugging
Homework help
Paired coding
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
School
Adult / Professional
All Levels
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
The tutor and student reviewed file handling concepts including open modes, encoding (UTF-8), and writing to files. They also covered JSON handling with load/dump functions and discussed sorting keys. Subsequently, they transitioned to object-oriented programming, focusing on classes and interfaces, with the student practicing provided examples and exercises.
File Handling: Open
Close
and Context Managers
String Encoding: UTF-8 and Byte Data
JSON Handling: Loading and Dumping Data
Object-Oriented Programming: Classes and Interfaces
The student and tutor reviewed and expanded upon practice exercises from Module 5, covering string manipulation and input validation. They then began Module 7, focusing on exceptions, 'try-except-finally' blocks, and the concepts of exception propagation and delegation in programming.
Input Handling and Conditional Logic
String Manipulation and Validation
Error Propagation and Delegation
Exception Handling with Try-Except-Finally
The Tutor and Student reviewed completed coursework (CC 1110) and introduced the new course (CC 205), which includes a review of prior material. The Student practiced implementing example programs from a worksheet in their IDE, and solutions were to be provided for cross-checking. Future sessions were scheduled for the upcoming weekends.
Weekend Class Scheduling
IDE Implementation Practice
Course Review and Transition (CC 1110 to CC 205)
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
Python Dictionaries: Recap and Safe Retrieval
Python Strings: Fundamentals and Immutability
String Formatting: Precision with f-strings
Text Processing Methods: `split()`
`strip()`
`join()`
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.
Dictionaries: Key-Value Mappings
Python Collections: Lists
Tuples
& Dictionaries
List Manipulation and Indexing
List Comprehensions
Copy vs. Alias (Shallow vs. Reference Copy)
Tuples: Immutable Sequences
Teaching tools used by tutor
NetBeans
Bitbucket
Android Studio
Jupyter Notebook
Dynamic programming classes
Parent feedback
Chat for quick help
Pets are welcomed
Record lessons
Mobile joining
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