About this Event
Higher Computing Science Tutoring Program:
Weekly Group Sessions: Our tutor-led, one-to-many sessions are designed specifically for students studying SQA Higher Computing Science. These 40-minute lessons are available both in-person at our Edinburgh centre and virtually, offering a flexible learning experience. Our classes aim to provide a more focused and in-depth learning environment compared to traditional school lessons, helping students bridge any knowledge gaps they may have due to school absences or other challenges.
One-to-One Tuition: For students seeking a more personalised approach, we offer one-to-one tuition, either in-person or online from our Edinburgh centre. These 40-minute sessions are targeted at students studying Higher Computing Science and allow for individual attention, enabling the tutor to tailor lessons specifically to the student’s needs. This format allows for in-depth support, with the tutor able to focus entirely on the student’s strengths and areas for improvement, without the distraction of a group setting. The personalised nature of the tuition allows students to progress at their own pace, building both knowledge and confidence.
Knowledge Assessment:
To assess your current understanding, we provide an initial aptitude test. This helps determine your current level of knowledge and any areas that require focus.
Who is this course for?
This course is ideal for learners preparing for the SQA Higher Computing Science exam. It offers opportunities to develop and enhance skills in independent learning, teamwork, critical thinking, problem-solving, research, communication, and peer evaluation across a variety of contexts.
Topics Covered:
Our course is aligned with the SQA Higher Computing Science curriculum. The four key areas of study covered in detail are:
The course mentioned in the subject has four areas of study:
1. Software design and development
Candidates acquire a comprehensive understanding of advanced concepts and practical problem-solving techniques in software design and development. This is achieved through the use of appropriate modular software development environments. By engaging in the processes of analysis, design, implementation, testing, and evaluation, candidates develop modular programming and computational thinking skills. They also enhance their ability to explain the functionality of their programs. With a deep understanding of data types and computational constructs, candidates are able to create efficient and effective programs to address complex problems.
Key areas of focus include:
– Development Methodologies
– Analysis
– Design
– Implementation (Data Types and Structures)
– Implementation (Computational Constructs)
– Implementation (Algorithm Specification)
– Testing
– Evaluation
– Practice through Past Papers and Quizzes
2. Computer systems
Candidates deepen their understanding of how data and instructions are stored in binary form, as well as the various factors influencing system performance. They also develop awareness of the environmental impact of intelligent systems and gain insight into the security risks associated with computer systems. Additionally, candidates explore the precautions and legal frameworks that help safeguard these systems.
Key lessons covered include:
– Data Representation
– Computer Structure
– Environmental Impact of Intelligent Systems
– Security Risks and Precautions
– Practice through Past Papers and Quizzes
3. Database design and development
Candidates acquire in-depth knowledge, understanding, and advanced practical problem-solving skills in database design and development. This is achieved through a series of practical tasks, utilizing a minimum of three interrelated tables, implemented using SQL. Candidates apply computational thinking to analyze, design, implement, test, and evaluate solutions, employing a variety of development tools. Additionally, they demonstrate interpretative skills by addressing tasks that include complex elements in both familiar and novel contexts.
Core areas of study include:
– Analysis
– Design
– Implementation
– Testing
– Evaluation
– Practice through Past Papers and Quizzes
4. Web design and development
Candidates develop comprehensive knowledge, understanding, and advanced practical problem-solving skills in web design and development through a variety of practical and investigative tasks. They apply computational thinking to analyse, design, implement, test, and evaluate web-based solutions, utilizing a range of development tools including HTML, Cascading Style Sheets (CSS), and JavaScript. Candidates also enhance their interpretative skills by tackling tasks with complex elements in both familiar and unfamiliar contexts.
Key lessons include:
– Analysis
– Design
– Implementation (HTML)
– Implementation (CSS)
– Implementation (JavaScript)
– Testing
– Evaluation
– Practice through Past Papers and Quizzes
The syllabus is regularly updated to reflect the latest SQA requirements and guidelines.
Recommended Exam:
SQA Higher Computing Science exam
Teaching Approach:
Our experienced tutors are fully qualified SQA assessors, ensuring high-quality lessons tailored to the SQA Higher Computing Science curriculum. We incorporate both SQA past papers and our own resources, ensuring students are familiar with exam formats and question types.
Here’s how we support your learning:
- Covering all key areas of the Higher Computing Science syllabus.
- Practicing with exam-standard questions.
- Reviewing SQA marking guidelines to understand expectations.
- Enhancing problem-solving skills, exam techniques, and confidence.
- Ongoing online tutor support via Microsoft Teams, where students can access learning materials and ask questions.
- Digital resources available through ITPT Moodle.
Additional Support:
Students will have access to ITPT Moodle, where they can find additional learning materials to reinforce their understanding outside of lessons.
Tutor Expertise:
Our tutors are SQA-accredited teachers with extensive experience in delivering the Higher Computing Science curriculum. They are familiar with the exam board’s requirements and are skilled in preparing students for both theory and practical elements of the course. Lessons are designed to provide a balance between theoretical understanding and hands-on practical exercises to reinforce learning.
- Expert Tutors: SQA-certified with detailed knowledge of the Higher Computing Science syllabus.
- ITPT Moodle Access: Students will receive individual accounts to access lessons and resources.
- Time Management Skills: Special attention is given to help students manage their time effectively during exam preparation.
- Supportive Environment: One-to-one support ensures that each student’s questions are answered thoroughly in an enjoyable learning environment.
- Motivation: We provide a supportive and engaging atmosphere that fosters motivation and a positive attitude toward learning.
SQA Higher in Computing Science:
https://www.itpt.co.uk/event/higher-tuitions-computing-science-weekly-face-2-face-virtual-classes/
Upcoming Time Table (SQA Higher in Computing Science):
One to Many * (Weekly Class - Face to Face or Virtual)
Starting Date - 24 – 09 – 2024
Day - Tuesday
Time - 06:00pm to 06:40pm
Subject - Computing Science
Class Level - Higher
Fees -£75 (Monthly)
* Not more than 6 students per class
One to One – (Weekly Class - Face to Face or Virtual)
Starting From - No Specific Dates, can be started at anytime
Day & Time
Monday
06:00pm – 06:40pm
07:00pm – 07:40pm
Wednesday
06:00pm – 06:40pm
Thursday
06:00pm – 06:40pm
Friday
06:00pm – 06:40pm
Duration - 40 minutes
Subject - Computing Science
Class Level - Higher
Fees - £100 (Monthly)
Course Information
https://www.itpt.co.uk/courses/computing-science/
Contact Us:
For more information please do contact us;
Edinburgh Phone: 0131 552 5558 – 0131 552 5800
Email: [email protected]
website: https://www.itpt.co.uk/
Contact us via website: https://www.itpt.co.uk/contact-us/
Event Venue & Nearby Stays
21 Calder Rd, 21 Calder Road, Edinburgh, United Kingdom
GBP 0.00