Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
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Dr. Gurinderjeet Kaur
Doctorate degree
Enroll after the free trial
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
GCSE (UK)
Homework help
Exam prep
Next Generation Science Standards - NGSS (USA)
Common Core State Standards - CCSS (USA)
Upskilling
New Zealand Curriculum - NZC (NZ)
Paired coding
A-Levels (UK)
Provincial-specific curriculum (CA)
Job readiness
Advanced Placement (AP) Program (USA)
Learner for programming class
Adult / Professional
Home schooled
College
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
Flexible Scheduling
Allows 1h early scheduling
Allows 1h early rescheduling
Can wait for 20 mins after joining

10 day Refund
Free Tutor Swap

Computer Science concepts taught by Dr. Gurinderjeet
The Tutor and Student worked on implementing the Secant method in MATLAB to solve a system of non-linear equations. The discussion involved understanding the theoretical underpinnings of the method, translating lecture slide concepts into code, and debugging specific implementation details related to Jacobian approximation. They planned to continue working on the assignment and explore other methods in future sessions.
Secant Method for Multiple Variables
Jacobian Matrix Approximation via Finite Differences
Iterative Refinement of Solutions
The tutor and student reviewed concepts related to multiple linear regression, specifically Extra Sum of Squares (ESS), marginal effects, and hypothesis testing (Global F-test, marginal tests). They discussed the decomposition of sums of squares and the F-statistic calculation, with plans for the student to review the notes.
Marginal Effect and Marginal F-Test
Global F-Test
Sum of Squares Decomposition
Extra Sum of Squares (ESS)
The Tutor and Student worked on implementing numerical methods, specifically Newton-Raphson and Secant methods, in MATLAB to solve systems of nonlinear equations. They reviewed code structure, variable initialization, Jacobian approximation, and convergence criteria, with plans to continue practice in future sessions.
Deviation Variables in Taylor Series
Secant Method (Broyden's Method)
Newton's Method for Systems of Equations
Jacobian Matrix in Numerical Methods
The student and tutor reviewed and corrected errors from a Java midterm exam, focusing on variable types, scope, and string comparisons. The student practiced identifying and rectifying mistakes with the tutor's guidance, and they planned to continue with more difficult problems in the next session.
Variable Declaration and Initialization
Data Type Selection for Variables
Variable Scope and Shadowing
String Comparison in Java
The tutor and student reviewed conditional statements, specifically 'if statements' and their variations, using programming exercises. The student practiced identifying fruits in a list using the 'in' operator. The next session will introduce dictionaries, with homework to continue practicing remaining 'if statement' exercises.
If Statements
Else If Statements
Membership Operator 'in'
Independent If Statements
List Operations: `min()`
`max()`
`sum()`
Python's `range()` Function
For Loops and Iteration
Python Lists
Teaching tools used by tutor
Android Studio
Jupyter Notebook
NetBeans
Bitbucket
Dynamic programming classes
Parent feedback
Chat for quick help
Note taking
Mobile joining
Open Q&A
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