Computer Science Tutors
Searching for a computer science tutor to help you with a course? Our skilled tutors, with advanced qualifications and a minimum of two years of experience in university-level tutoring, are here to help. Offering personalized one-on-one support, we cover a wide range of computer science courses, helping you grasp complex topics and achieve higher grades.
Online Computer Science Tutoring
With online tutoring, you can connect with some of the most skilled and knowledgeable university computer science tutors across Canada. Our tutors hold advanced degrees such as a Master’s or PhD in computer science or related disciplines. Using interactive tools like Zoom, Google Meet, or Microsoft Teams, sessions are engaging and collaborative. Share coding assignments, debug programs, and tackle complex algorithms together in real time using advanced virtual tools.
- Learn via Zoom, Google Meet, or Teams
- Work with a tutor holding a Master’s or PhD
- Begin within 24 hours
In-Person Computer Science Tutoring
In select cities across Canada, we offer in-person tutoring for university-level computer science courses. We recommend that lessons take place at a central library to increase the chances of working with an in-person tutor. In-person tutoring is available in the Greater Vancouver Regional District, Kelowna, Kamloops, Winnipeg, Calgary, Edmonton, Greater Toronto Area and Hamilton.
- Tutors with Bachelor’s, Master’s, or PhD degrees
- Flexible scheduling to suit your needs
- Start within 3–5 days
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We tutor these courses
Since we have exceptionally qualified tutors we are able to provide tutoring support for students who are taking undergraduate computer science courses. We can also provide tutoring for some 3rd or 4th year courses.
First Year Computer Science Courses
Introduction to Computer Science (CS101)
Covers basic programming concepts, problem-solving techniques, and an introduction to computer systems.
Introduction to Programming (CS102)
Focuses on programming fundamentals using a specific programming language, such as Python or Java.
Discrete Mathematics (MATH101)
Introduces mathematical reasoning, logic, set theory, combinatorics, and graph theory, which are essential for computer science.
Calculus I (MATH102)
Covers differential calculus and its applications, providing a mathematical foundation for computer science students.
Linear Algebra (MATH103)
Introduces vector spaces, matrices, and linear transformations, which are important in various computer science applications.
Computer Systems and Organization (CS103)
Provides an overview of computer architecture, including hardware components, data representation, and basic assembly language.
Data Structures and Algorithms (CS104)
Introduces fundamental data structures (e.g., arrays, linked lists, trees) and algorithms for data manipulation and problem-solving.
Introduction to Software Engineering (CS105)
Covers software development methodologies, project management, and best practices in coding and documentation.
Introduction to Databases (CS106)
Introduces database concepts, including relational models, SQL, and basic database design.
Ethics in Computer Science (CS107)
Discusses ethical considerations in computing, including privacy, security, and the societal impact of technology.
Second Year Computer Science Courses
Data Structures and Algorithms (CS201)
Explores advanced data structures (e.g., trees, graphs) and algorithms for efficient data manipulation and problem-solving.
Object-Oriented Programming (CS202)
Focuses on object-oriented design principles, including classes, inheritance, polymorphism, and encapsulation.
Computer Architecture (CS203)
Examines the organization and functioning of computer hardware, including processors, memory hierarchies, and instruction sets.
Operating Systems (CS204)
Introduces concepts of operating systems, such as process management, memory management, file systems, and concurrency.
Software Engineering Principles (CS205)
Covers software development life cycles, design patterns, testing methodologies, and project management.
Database Systems (CS206)
Delves into database design, normalization, SQL, and transaction management.
Theory of Computation (CS207)
Introduces formal languages, automata theory, computability, and complexity classes.
Computer Networks (CS208)
Covers networking fundamentals, including protocols, architectures, and data communication principles.
Human-Computer Interaction (CS209)
Explores the design and evaluation of user interfaces, emphasizing usability and user experience.
Discrete Mathematics II (MATH201)
Continues from first-year discrete mathematics, covering advanced topics relevant to computer science.
* This list is not exclusive. We also offer tutoring for courses at a higher level.
We cover these topics
Our university computer science tutors are familiar with all of the topics covered in university computer science courses.
First Year Topics
Introduction to Programming
- Basics of coding in languages like Python, Java, or C++
Problem-Solving and Algorithms
- Fundamental strategies for computational problem-solving
Discrete Mathematics
- Logic
- Set Theory
- Combinatorics
- Basic Graph Theory
Introduction to Data Structures
- Arrays
- Linked lists
- Stacks
- Queues
Computer Systems Basics
- Overview of hardware
- Overview of software
- Data Presentation
Calculus for Computer Science
- Differential calculus and its applications
Linear Algebra
- Matrices
- Vectors
- Linear transformations
Introduction to Software Development
- Basics of software engineering principles
Ethics in Computing
- Understanding the societal and ethical impact of technology
Introduction to Databases
- Fundamentals of relational databases and SQL
Second Year Topics
Advanced Data Structures
- Trees
- Graphs
- Heaps
- Hash tables
Algorithms
- Sorting
- Searching
- Recursion
- Complexity analysis
Object-Oriented Programming
- Classes
- Inheritance
- Polymorphism
- Encapsulation
Computer Architecture
- CPU design
- Memory hierarchy
- Instruction sets
Operating Systems
- Process management
- Threads
- Memory allocation
- File systems
Database Systems
- Database design
- Normalization
- SQL and transactions
Software Engineering
- Development methodologies
- Testing
- Project management
Computer Networks
- Basics of networking
- Protocols
- Data communication
Theory of Computation
- Automata
- Formal languages
- Computational complexity
Human-Computer Interaction
- Design principles and evaluation of user interfaces
Frequently Asked Questions
What common challenges do students face in computer science, and how can your tutoring help?
Students often struggle with understanding abstract concepts and applying mathematical skills. Our tutoring sessions address these challenges by breaking down complex topics into manageable parts and providing targeted practice to reinforce understanding.
How do you structure your tutoring sessions for computer science?
Each session is structured based on the student’s needs and goals. We typically review key concepts, work through practice problems, and address any specific questions or challenges the student is facing.
What qualifications do your computer science tutors have?
Our tutors are highly qualified, often holding a masters or PhD in computer science or related fields. They have extensive Canadian tutoring experience with university computer science courses.
Do you offer tutoring for 3rd or 4th year computer science?
This depends on the specific course and its level of specialization. Since we have tutors with advanced degrees, we may have someone available to assist with higher-level courses. In such cases, we recommend online tutoring, which allows us to broaden our search and find a suitable tutor from anywhere in Canada.
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