8455 Courses delivered Online

Introduction When it comes to academic writing, referencing is crucial. It’s not just about giving credit where it’s due, but also about enhancing the credibility of your work. Among the various referencing styles, Harvard referencing for word essays is one of the most widely used, especially in the UK. But why is it so popular, and how can you master it? Let’s dive in! Understanding Harvard Referencing Harvard referencing is a system of citation that allows you to acknowledge the sources you’ve used in your academic writing. It’s an author-date system, which means you include the author’s surname and the year of publication within the text, and provide full details in a reference list at the end. Despite its name, Harvard references didn’t originate from Harvard University. The style was first used by a zoologist named Edward Laurens Mark in a paper published in 1881. Over time, it has evolved and become one of the most recognized citation styles worldwide. Harvard referencing consists of two main components: in-text citations and a reference list. In-text citations are brief and are placed within the body of your text, while the reference list provides full details of all the sources you’ve cited. The Basics of Harvard Referencing In-text citations in Harvard referencing include the author’s surname and the year of publication. If you’re quoting directly, you should also include the page number. For example: (Smith, 2020, p. 23). The reference list is where you provide full details of each source cited in your work. Each entry should include the author’s name, year of publication, title of the work, and other relevant information, depending on the type of source. A reference list includes only the sources you’ve directly cited in your text, while a bibliography may include all sources you’ve consulted, whether or not you’ve cited them. How to Cite Different Types of Sources When citing a book, you should include the author’s name, year of publication, title (in italics), edition (if applicable), place of publication, and publisher. For example: Smith, J. (2020). The Art of Referencing (2nd ed.). London: Academic Press. Journal articles should include the author’s name, year of publication, title of the article, title of the journal (in italics), volume number, issue number, and page numbers. For example: Brown, A. (2019). ‘Understanding Harvard Referencing’, Journal of Academic Writing, 12(3), pp. 45-67. For websites, include the author (or organization), year of publication (or last update), title of the webpage (in italics), and the URL. For example: University of Oxford. (2021). Harvard Referencing Guide. Available at: https://www.ox.ac.uk/harvard (Accessed: 10 September 2024). When citing a newspaper article, include the author’s name, year of publication, title of the article, title of the newspaper (in italics), date, and page number. For example: Doe, J. (2022). ‘The Future of Academic Writing’, The Times, 5 May, p. 12. For government documents, include the name of the government department, year of publication, title of the document (in italics), place of publication, and publisher. For example: UK Department for Education. (2020). Education Policy Report. London: HMSO. Cite conference papers by including the author’s name, year of publication, title of the paper, title of the conference (in italics), location, and date of the conference. For example: Jones, M. (2023). ‘Innovations in Academic Writing’, International Writing Conference, Manchester, 10-12 April. Harvard Referencing for Electronic Sources When citing e-books, the format is similar to print books, but you should include the format (e.g., Kindle) or the platform where it’s available. For example: Adams, R. (2018). Digital Referencing (Kindle ed.). Available at: Amazon.co.uk. For online journals, follow the same format as print journals, but include the DOI or the URL where the article can be accessed. For example: Taylor, S. (2021). ‘Harvard Referencing in the Digital Age’, Journal of Modern Research, 15(4), pp. 33-50. DOI: 10.1234/jmr.2021.0987. The format for websites remains the same as mentioned earlier, with the inclusion of the URL and the access date. For social media, include the author (or username), year, content of the post (in italics), platform, and the date of the post. For example: @AcademicWriterUK. (2023). The key to successful referencing is consistency. Twitter, 15 March. Advanced Harvard Referencing Techniques When you can’t access the original source and need to cite a secondary source, mention both the original and secondary source. For example: (Smith, 1989, cited in Brown, 2019). For works with multiple authors, list up to three authors in the in-text citation. For more than three, use “et al.” after the first author’s name. For example: (Jones, Smith, and Brown, 2020) or (Jones et al., 2020). If you’re citing different editions of a book, mention the edition in your reference. For example: Brown, A. (2018). Theories of Learning (3rd ed.). Oxford: Oxford University Press. If some information is missing, like the author or date, use “Anon.” for anonymous authors and “n.d.” for no date. Common Harvard Referencing Mistakes and How to Avoid Them Incorrect formatting can easily occur if you’re not careful. Make sure to follow the correct structure for each type of source, as this can significantly impact your grade. Leaving out essential details like the author’s name or the year of publication is a common mistake. Always double-check your references before submitting your work. Punctuation is crucial in Harvard referencing. Misplacing a comma or period can change the meaning of your citation. Pay attention to the details! Tools and Resources for Harvard Referencing Online citation generators can save you time, but be cautious—always double-check the generated citations for accuracy. Tools like EndNote or Zotero can help you manage your references and ensure consistency throughout your work. Many universities provide specific guidelines for Harvard referencing. Always refer to your institution’s guidelines to ensure you’re following the correct format. The Importance of Consistency in Harvard Referencing Consistency is key in Harvard referencing. Uniformity in your citations not only makes your work look professional but also enhances readability. Inconsistent referencing can confuse readers and may lead to a lower grade. Make sure your citations follow a consistent style throughout your work. Tips for Mastering Harvard Referencing Always double-check your references before submission. Small errors can add up and impact your overall grade. Keep a record of all the sources you consult. This will make it easier to create your reference list and avoid missing any citations. Using a Harvard style guide can help ensure that you’re following the correct format. It’s a handy tool for quick reference. Conclusion Mastering Harvard referencing may seem daunting at first, but with practice and attention to detail, it becomes second nature. Remember, proper referencing not only supports your arguments but also adds credibility to your work. So, take your time, be consistent, and use the resources available to you.

A webinar in which we explore the true cost of pointless stress and worry on our health, our happiness and our time and present the possibility of a future with more balance, more joy and better outcomes.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview Understand the role of corporate structure, dividends and equity indices in equity markets. Become familiar with the building blocks of repos / stock lending, futures and forwards – and how to use these products. Understand how to price, and risk manage equity swaps and dividend swaps. Gain experience in their uses in trading, corporate finance and portfolio management. Learn how to price equity options and the features that make them different from other asset classes, explore how to use these products for taking equity risk, yield enhancement and portfolio protection. Understand strategies designed to trade / hedge volatility using options. Who the course is for Risk management Finance Sales and trading Treasury Technology Financial Engineering Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now