7337 Research courses delivered Online

Informed consent in clinical research is an ethical and regulatory requirement. A research subject must enter a study voluntarily, be informed about risks and benefits, and understand the difference between investigation and treatment. Subjects must not be coerced into enrolment, nor must they be enticed by exaggerated claims of benefit. Before they can enrol, all potential subjects must agree, in writing, to participate. In addition to ethical and regulatory imperatives, the potential for litigation by subjects further highlights the importance of rigorous adherence to informed consent principles. In this short course we set out the principles and requirements and provide examples of practical issues confronting healthcare professionals and subjects.

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Quantum Algorithms for Computational Finance” is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of various quantum algorithms including: Grover’s and Rudolf’s algorithm, Quantum amplitude Estimation (QAE) algorithm envisioned as a quadratic speed-up over Classical Monte-Carlo simulations, Combinatorial optimization algorithms namely Quantum Approximate Optimization Algorithm (QAOA), and Variational Quantum Eigensolver (VQE), and Quantum-inspired optimization algorithms – Simulated Coherent Ising Machine (Sim-CIM), and Simulated Bifurcation Algorithm (SBA). This course is meant for all those learners who want to explore the long-term employability of quantum computing in finance, assuming that you are familiar with the concepts of quantitative and computational finance. In addition, the course contains several Python based programming exercises for learners to practice the algorithms explained throughout the course. This course is the second part of the specialised educational series: “Quantum Computing for Finance”. What Skills you will learn Ability to perform quantum arithmetic operations and simulations. An understanding of the Quantum Amplitude Estimation algorithm and its variants. The computational and modelling techniques for option pricing and portfolio optimization on a quantum computer. The skills for a career in quantum finance including Quantum Algorithmic Research, Quantitative Asset Management and Trading, financial engineering, and risk management, using quantum computing technology. Course Prerequisites All potential learners must have prior knowledge or familiarity with basic quantum algorithms/basic quantum programming. Before enrolling this course, we recommend all learners to complete the first course “Introduction to Quantitative and Computational Finance” of the series “Quantum Computing for Finance”, if they have no previous experience with the concepts of quantitative and computational finance. Duration The estimated duration to complete this course is approximately 6 weeks (~4hrs/week). Course assessment To complete the course and earn the certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more on each of them. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

Master the essentials of Clinical Psychology. This course covers therapeutic models, research methods, and various career paths in psychology.

The Forensic Analysis Bootcamp is an 8-week deep-dive into forensic equity analysis, featuring a 90-minute Zoom workshop each week. The content includes extensive use of real-life case studies and covers stocks spanning a wide range of sectors and regions. You will learn how companies manipulate expenses and inflate profits, how to spot balance sheet issues, weaknesses of the cash flow statement and issues and more.

Emotional intelligence (EI) is the ability to manage oneself and one’s relationships with others in a mature and constructive manner. Research indicates that EI is closely related to workplace success at all levels of the organisation. In this course we look at six key aspects of EI in order to help develop your skills and abilities in managing yourself and your relationships in the workplace.

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Phenomenological explorations for existential seekers. Ten live dialogues between Prof Ernesto Spinelli and International Existential Therapists which clearly illustrate their journey intertwined with the method of the investigation. We are looking to highlight the role of the researcher as an existential seeker. Workshop – Reflections on Existence through a Phenomenological Method. The two-hour practical module where participants, inspired by the previous presentation and dialogue, explore and elaborate on their practice and research with the guest teacher and Bárbara Godoy. This process ends with the opportunity to experience oneself in a clearing. Here we can reflect on how our research is affecting, disturbing and inspiring our own relationship with Being. TIMES AND DATES: Ten Saturdays 2 pm to 5 pm (UK time) 27 Jan. “Placebo” with Prof Ernesto Spinelli and Bárbara Godoy 24 Feb. “Reflexivity” with Prof Carla Willig and Prof Ernesto Spinelli 23 March “Homecoming” with Prof Robert Romanyshyn and Prof Ernesto Spinelli 27 April “Ungraspable” with Dr Todd Dubose and Prof Ernesto Spinelli 18 May “Homelessness” with Dr Greg Madison and Prof Ernesto Spinelli 22 Jun. “Psychedelics” with Dr Yaqui Martinez and Prof Ernesto Spinelli 20 Jul. “Anxiety” with Prof Kirk Schneider and Prof Ernesto Spinelli 26 Oct. “Intentionality” with Dr Betty Cannon and Prof Ernesto Spinelli 23 Nov. “Vulnerability” with Prof Simon du Plock and Prof Ernesto Spinelli 12 Dec. “Enacting” with Bárbara Godoy and Prof Ernesto Spinelli Full course (including dialogues): £600 (2 pm to 5 pm – UK time) BOOK HERE > Venue: Online Zoom

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Learn with Case Study - Market Research Course Overview: This course, "Learn with Case Study - Market Research," provides an in-depth understanding of the principles and techniques used in market research. It is designed to equip learners with the knowledge necessary to assess market trends, consumer behaviour, and competitive landscapes effectively. Through the use of real-world case studies, participants will gain valuable insights into the application of market research methodologies in various industries. By the end of the course, learners will be able to conduct research, analyse data, and make informed decisions that drive business strategies and growth. This course is ideal for those seeking to enhance their market research skills and apply them to professional practice. Course Description: In this course, learners will explore the core concepts of market research, including data collection, analysis techniques, and the interpretation of findings. The course integrates case studies to demonstrate how these methods are applied in real-life scenarios across different sectors. Key topics covered include survey design, focus groups, consumer behaviour analysis, and competitor research. Learners will develop the ability to evaluate and synthesise market data to inform strategic business decisions. The course encourages critical thinking, data interpretation, and strategic application, ensuring that learners can effectively utilise market research to support business objectives. By the end of the course, participants will have the skills to execute comprehensive market research projects. Learn with Case Study - Market Research Curriculum: Module 01: Introduction to Market Research Module 02: Data Collection Techniques Module 03: Case Study: Market Research in Action Module 04: Data Analysis and Interpretation Module 05: Consumer Behaviour and Market Segmentation Module 06: Reporting and Presenting Research Findings (See full curriculum) Who is this course for? Individuals seeking to improve their market research skills. Professionals aiming to enhance their strategic decision-making abilities. Beginners with an interest in understanding market dynamics. Those working in marketing, sales, or business strategy roles. Career Path: Market Research Analyst Marketing Manager Business Development Specialist Consumer Insights Analyst Data Analyst

Inspiring, interactive and unique 4-hour CPD certified Communication and Co-production training.