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Embark on a riveting journey of discovery with our IGCSE Geography Distance Learning Course, offering a sweeping overview of both physical and human geography. Dive deep into compelling social issues impacting food supply and economic development, from population growth and migration to human settlement patterns. Your adventure in the natural world will also involve unravelling the mysteries of natural disasters and weather phenomena, traversing across volcanoes, earthquakes, rivers, and more! 🌋🌍 Our IGCSE Geography course hones your analytical and interpretive prowess, empowering you to decipher weather and climate data, identify causes of environmental changes, and appreciate the intricate relationship between humanity and our home planet. Recognised as a prevalent qualification in the UK, this course offers a solid foundation for anyone aiming to further their geography studies at A-level or university. 🎓 This home-based course adheres to the latest CAIE IGCSE Geography syllabus and is designed for seamless online study, fitting into your personal schedule. Benefit from limitless tutor support, an unambiguous introduction, and well-structured assignments to equip you with the necessary skills and knowledge for the exam. A guaranteed spot in one of our UK-based exam centres is assured should you sit your final examinations in the UK.📝💻 Embrace the advantages of our fresh course content, specifically curated to the current specification, with dynamic and engaging elements. Accelerate your learning journey with our fast-track option, enjoy access to our network of partnership exam centres, and receive unending tutor support. If you don't pass at your first attempt, our exam pass guarantee ensures we're with you until you succeed. 🎯 About the awarding body Awarding body: CAIE Our course code: X812 Qualification code: 0976 CAIE (Cambridge Assessment International Education) leads the globe as the largest provider of international education programmes, qualifications, and exams, offering assessments to over 8 million learners in more than 170 countries. ⏱ Study Hours: Expect between 120 and 150 hours of study time, plus extra time for assignments. 👩‍🏫 Study Method: Our online learning platform delivers a dynamic and engaging experience, with a variety of media including videos, quizzes, and interactive activities. If you prefer physical learning materials, they can be printed at your convenience. 📆 Course Duration: You have up to two years to complete the course and take your exams, with continuous tutor support. 📋 Assessment: Enrol now for Summer 2022 exams. Your assessment will include two GCSE standard written exams and one piece of coursework, independently completed and marked by your tutor. We guarantee an exam space in one of our centres in the UK. 👩‍🎓 Course Outcomes: Upon successful completion, you will receive an IGCSE in Geography from CAIE, tailored specifically for distance learning under syllabus 0976. ℹ️ Additional Information: Difficulty - Level 2. No formal entry requirements exist, but an intermediate ability to read and write English is advisable. Course Content: Explore population and settlement, sharpen your geographical enquiry skills, and delve into the natural environment's complexities. Understand economic development in our globalised world and strengthen your mathematical and geographical skills. Whether it's analysing maps or understanding the impacts of climate change, our engaging course content has you covered. 📚🌐

Discover the wonders of our planet and our role within it through our A-Level Geography course, specifically designed for self-paced learning. Gain deeper insights into the marvels and challenges our world faces from diverse landscapes to human interactions and the subsequent consequences on nature. Venture on a virtual journey exploring various terrains from arid deserts to dynamic glaciers, and lively coastal systems. Delve into the pressing issues of environmental stress on ecosystems, urban development implications, and the complex threads of globalisation. Master the art of collecting, processing, and interpreting valuable information using both qualitative and quantitative methods. You’ll become proficient in contextualisation and reporting, demonstrating a strong understanding of fieldwork through independent research projects. This course adheres to the latest Cambridge International A-Level Geography syllabus, offering a streamlined and engaging online learning experience. Benefit from unlimited tutor support, well-structured assignments, and a clear induction to equip you with the skills and knowledge for exam preparation. If you’re in the UK, you can avail our guaranteed exam centre access for your final A-Level examinations. Your enrolment comes with the following benefits: Access to a brand-new course, with content that is dynamic, engaging and tailored to the latest specification Fast track options for exams in 2022 Exam pass guarantee – We'll support you to your next exam for free if you don’t pass the first time Guaranteed exam venue access – Explore our network of partnership exam centres Unlimited tutor support – Benefit from personalised study planning and comprehensive support throughout your learning journey Geography extends beyond the textbook. It's about understanding our planet, recognising our responsibilities towards it, and expanding our knowledge on how human activities shape and change our environment.  About the awarding body Awarding body: Cambridge Assessment International Education (CAIE) Our course code: X923 Qualification code: 9696 Cambridge Assessment International Education is the world’s largest provider of international education programmes, qualifications and exams, delivering assessments to over 8 million learners in over 170 countries. ⏱ Study Hours: Allow 250-300 hours of study time plus additional time for assignments. 👩‍🏫 Study Method: Engage with a variety of media such as videos, quizzes, and interactive activities via our online platform. Learning resources can also be printed for convenience. 📆 Course Duration: Your enrolment lasts up to 24 months from the date of registration.  📋 Assessment: Enrol now for Summer 2022 examinations. You'll need to complete four standard A-Level written exams with a blend of short and long answer questions, and extended response questions. We also provide guaranteed exam space across the UK and a repeat exam support. Additionally, various assignments throughout the course will help gauge your progress and generate predicted grades if needed. 👩‍🎓 Course Outcomes: On successful completion, you'll receive an A-Level in Geography, issued by Cambridge International, identical to that received by students at any other institution. This syllabus (9696) is selected by Oxbridge for its suitability to distance learning. ℹ️ Additional Information: Difficulty - Level 3; Entry requirements - A GCSE or equivalent in Geography is recommended; UCAS Points - 56 Course Content: Explore a wide range of topics such as hydrology, fluvial geomorphology, atmosphere and weather, rocks and weathering, population dynamics, migration and settlement, tropical and hazardous environments, production, location, and global interdependence. Each unit explores its topic in-depth, providing a comprehensive understanding of the intricacies of physical and human geography.

Delve into the realm of certainty and morality, learn to accommodate differing viewpoints, and encounter thought-provoking ideas that have shaped Western philosophy. Our A-Level Philosophy course, designed for home study, offers a profound exploration of the questions that continually confront humanity, providing insights from some of history's greatest intellectual pioneers. Our comprehensive distance learning programme enables you to evaluate complex philosophical themes, encourages you to challenge the status quo, and equips you with intellectual skills that foster independent thought. You'll become adept at creating logical arguments, assessing evidence, and tackling substantial questions about reality and existence. 🧠 A-Levels are revered as the UK's education pinnacle, valued by universities and employers as a sign of remarkable attainment. Achieving an A-Level proves your in-depth understanding of a subject, enhances your career prospects, and unlocks new possibilities for your future.  Course benefits include: A fresh course tailored to the most recent specifications, brimming with engaging content Fast-track option available for 2022 exams - Access to partnership exam centres ensuring a guaranteed exam venue - Unlimited tutor support, from drafting a study plan to continual assistance - Exam pass guarantee: If you don’t succeed the first time, we’re here to support you for the next attempt 🎓 About the awarding body: AQA Our course code: X917 Qualification code: 7172 AQA qualifications enjoy international recognition, taught across 30 countries, greatly valued by employers and universities, facilitating young people to progress to the next stage of their lives. AQA's wide range of qualifications includes GCSEs, IGCSEs, and A-levels. ⏱ Study Hours: Allocate between 250 and 300 hours for study, plus extra time for completing assignments. 👩‍🏫 Study Method: Our interactive online learning platform provides a vibrant and engaging experience, including a range of multimedia resources like videos, quizzes, and interactive activities. You can also print learning materials if you prefer. 📆 Course Duration: Enjoy unlimited tutor support for up to 24 months after enrolment. You'll gain access to MyOxbridge, where you can access all your learning materials. 📋 Assessment: Enrol now for exams from Summer 2022. Official exams:  3 hours, 50% of marks 3 hours, 50% of marks A guaranteed exam spot is provided in one of our nationwide exam centres. Assignments: Complete tutor-marked assignments (TMAs) throughout your course for marking and feedback. These won't contribute to your final grade but help assess your progress. 👩‍🎓 Course Outcomes: Successfully completing this home learning course earns you an A-Level in Philosophy, issued by AQA. This syllabus is specifically chosen for its suitability for distance learning. Your certificate will be identical to those issued to students at other educational institutions. ℹ️ Additional Information:  Difficulty - Level 3 Entry requirements - GCSE standard education or equivalent recommended for optimum success. UCAS Points - 56  Course Content: 1. Epistemology: Dive into the study of knowledge, exploring concepts of perception, direct and indirect realism, innatism, and more through texts by renowned authors such as Descartes and Locke. 2. Moral Philosophy: Journey through moral philosophy, scrutinizing normative ethical theories, utilitarianism, Kantian deontological ethics, applied ethics, and meta-ethics. 3. Metaphysics of God: Explore the notion of an omnipotent creator, the compatibility with free will, the existence of evil, and religious language. 4. Metaphysics of Mind: Investigate philosophers' views on the 'mind', exploring dualist theories, physicalist theories, functionalism, and their respective criticisms.

Overview Are you finding it difficult to pass an English literature exam or master it as a second language? We can help you overcome all the obstacles in your way. This course delivers an expertly written masterclass on the standard contents of a UK GCSE curriculum and will help you embed that knowledge. The Learning English Language Level 2 course provides comprehensive overviews of all the learning required to pass this essential exam and secure good educational standards. You will be taught how to appreciate and analyse the works of Shakespeare and English novels, alongside poetry, drama, and the basic structure of essays, documents and letters for everyday use. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Learning English Language Level 2. It is available to all students, of all academic backgrounds. Requirements Our Learning English Language Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 3 sections • 14 lectures • 06:15:00 total length •English Language: 00:30:00 •Learning English: 00:15:00 •Punctuation in English: 00:30:00 •Capitalisation: 00:15:00 •Sentence Structure: 00:15:00 •Spelling: 00:30:00 •Verbs: 00:30:00 •Verb tenses and aspects: 00:45:00 •The future: 00:30:00 •Be, have and do: 00:45:00 •Modal verbs: 00:45:00 •English Writing: 00:15:00 •Tips to Improve in English: 00:30:00 •Assignment - Learning English Language Level 2: 00:00:00

Embark on an invigorating intellectual journey with this A-Level Maths course, meticulously crafted to imbibe the nuances of advanced mathematics. Delve into topics such as forces, probability, algebra, and vectors, honing your expertise while bolstering your critical thinking and analytical prowess. In the realm of UK education, A-levels stand as a testament to significant educational accomplishment. Our A-Level Maths course epitomises this, enhancing your appeal to both universities and employers while paving the way to a world of exciting opportunities. Adhering to the fresh AQA A-Level Maths syllabus, this online home study course is constructed to dovetail with your convenience, enabling you to learn at your own pace. Our comprehensive support system includes unlimited tutor assistance, a systematic induction, and well-structured assignments, preparing you efficiently for the exams. We ensure your access to our partnered exam centres for your final A-Level examinations. With our course, you'll have access to: Cutting-edge course content, shaped according to the latest specification. A Fast track option (for exams in 2022). A network of partnership exam centres. Unlimited tutor support and an exam pass guarantee. Awarding body: AQA Course code: X901 Qualification code: 7357 AQA qualifications enjoy international recognition, being taught in 30 countries and prized by employers and universities alike. These qualifications accommodate a wide range of abilities, encompassing GCSEs, IGCSEs, and A-levels. ⏱ Estimated Study Time Allocate between 300 and 360 hours for study, along with additional time for assignments. 👩‍🏫 Learning Methodology Our course is delivered via an immersive online learning platform, complete with diverse media resources like videos. However, if you prefer a more traditional approach, you can print the learning materials. 📆 Course Duration Enrol and benefit from our unlimited tutor support for up to 24 months. Upon enrolment, you will receive access to MyOxbridge, where all your learning materials are housed. 📋 Evaluation Examinations start from Summer 2022.  You will be evaluated on three written exams: Paper 1: 2 hours, 33.3% of A-Level, 100 marks. Paper 2: 2 hours, 33.3% of A-Level, 100 marks. Paper 3: 2 hours, 33.3% of A-Level, 100 marks. The exams will consist of a range of question types, from single-mark questions to multi-step problems. Our students are provided with a guaranteed exam space and an exam pass guarantee. Assignments The course includes several assignments. Though not contributing to your final grade, they allow you to receive feedback from your tutor, helping you track your progress. 👩‍🎓 Course Outcomes Upon successful course completion, you will receive an AQA-issued A-Level in Maths. This certificate mirrors those awarded to students at any other educational institution.  ℹ️ Further Details Difficulty - Level 3 Entry requirements - A GCSE or equivalent level in Mathematics is strongly advised. UCAS Points - 56 Course Content Core Content Mathematical argument, language, and proof Mathematical problem solving Mathematical modelling Proof Algebra and functions Coordinate geometry in the (x,y) plane Sequences and series Trigonometry Exponentials and logarithms Differentiation Integration Numerical methods Vectors Statistical sampling Data presentation and interpretation Probability Statistical distributions Statistical hypothesis testing Quantities and units in mechanics Kinematics Forces and Newton’s laws Moments

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.

An online Training Room for Teachers of GCSE & A Level Textiles for both Art & Design and D&T.