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

Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India

Programming tutor specialities

Common Core State Standards - CCSS (USA) icon

Common Core State Standards - CCSS (USA)

A-Levels (UK) icon

A-Levels (UK)

Homework help icon

Homework help

Test prep icon

Test prep

Job readiness icon

Job readiness

Australian Curriculum (AU) icon

Australian Curriculum (AU)

Provincial-specific curriculum (CA) icon

Provincial-specific curriculum (CA)

Assignment help icon

Assignment help

Advanced Placement (AP) Program (USA) icon

Advanced Placement (AP) Program (USA)

Project help icon

Project help

GCSE (UK) icon

GCSE (UK)

Exam prep icon

Exam prep

CoTutorCoTutor

AI modules

Summary

Podcast

Quiz

Learnings

Flashcard

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Zero Risk Guaranteed

15-days refund

Free tutor swap

No cancel fee

1-yr validity

24/7 support

Learner for programming class

College icon

College

Adult / Professional icon

Adult / Professional

All Levels icon

All Levels

Home schooled icon

Home schooled

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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

App Development

Artificial Intelligence

Artificial Intelligence

Computer Science

Computer Science

Databases

Databases

Web Development

Web Development

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Computer Science concepts taught by Dr. Gurinderjeet

Student learned 1 day ago

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

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Student learned 1 day ago

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

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Student learned 2 days ago

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

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Student learned 2 days ago

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

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Student learned 2 days ago

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

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Student learned 3 days ago

The Student practiced solving nine programming problems from 'combined programming set two' and then reviewed their solutions against those provided by the Tutor. The upcoming session will focus on beginning the 'next course' material.

Transitioning to New Learning Modules

Effective Solution Verification

Utilizing Structured Practice Sets

Independent Programming Practice

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Teaching tools used by tutor

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Bitbucket

NetBeans image

NetBeans

Android Studio image

Android Studio

Jupyter Notebook image

Jupyter Notebook

Dynamic programming classes

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Note taking

Pets are welcomed icon

Pets are welcomed

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Chat for quick help

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Open Q&A

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Parent feedback

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