Courses

Explore a 44-minute lecture on distance matrix completions presented by Charles Johnson from the College of William and Mary. Delve into the concept of partial matrices and their completions, focusing on the P-completion problem for matricial properties. Examine the semi-algebraic nature of distance matrices and their completions, with particular attention to Euclidean distance matrices. Investigate patterns where distance completable partial matrices are equivalent to partial distance matrices, and understand their geometric implications. Learn about the special spectral properties of distance matrices and gain insights into the Euclidean distance inverse eigenvalue problem. This talk, part of the Workshop on Distance Geometry, Semidefinite Programming and Applications, offers a deep dive into the mathematical intricacies of distance matrices and their completions.

Explore a comprehensive lecture on the completion and extension of period maps in algebraic geometry. Delve into the speaker's joint work with M. Green and P. Griffiths, which describes an extended period map with an image that forms a compact Moishezon variety. Examine the project's broader context, including collaborations with Radu Laza, to construct period mapping completions and their applications to moduli spaces. Compare this approach to classical cases involving minimal and maximal compactifications of period spaces. Investigate key technical inputs, including new results on the global structure of period maps at infinity, and how they extend consequences of Schmid's nilpotent orbit theorem. Discover how these structures, combined with the infinitesimal period relation and work by Cattani, Deligne, and Kaplan, allow for the application of Grauert's result on holomorphic equivalence relations to achieve the main result.

Accelerate your construction management career by learning how to successfully manage quality and completions. What you'll learn: We've helped over 20,000 studentsOver 94% of students surveyed say we helped grow their careersTaught in consultation with industry expertsDownloadable resources so you can look back on what you learned!Understand the purpose and role of quality management on construction projectsConstruction Quality ManagementHow to ensure what we build is correctConstruction Completions ManagementHow to hand-over a construction projectHow to write Inspection and Test PlansWhat commissioning isHow to deal with construction defectsHow to close-out a construction project So far, we've helped over 20,000 students accelerate their careers in construction management by mastering the fundamentals.Learn how to ensure the construction works comply with the design and technical specifications and hand over the finished project!The course is:Proven - taken by thousands of students with satisfied results. Over 94% of students surveyed believed our construction management courses supported their career progressionPractical - developed in consultation with industry experts to teach you exactly what you need to know to succeed in the real worldFast - we know you are busy, so we developed the course with that in mind and cut out every second of unnecessary informationPacked with Downloadable Resources - we offer students resources, templates, and downloadable copies of all slides so you never forget what you learned!Contains useful templates - we offer useful templates so you can apply the skills in the real worldAnd we are always improving. We want to hear your feedback and we are committed to helping you on your journey. We will always respond to questions, queries, or feedback suggestions.We are super excited to have you enroll in Construction Quality Management!Learn the fundamental skills required to deliver a construction project on time.Major infrastructure projects involve thousands of different activities to construct a set of drawings/specifications. Each activity has the potential to go wrong. We can miss service penetrations on a concrete pour or install drainage in the wrong alignment because of a survey error. Furthermore, at the end of the project, we need to hand over what we built to the client! Construction Quality and Completions management is how we do this! Master the fundamental construction project management skills to take your career to the next level!The course is broken down into four sections:Section 1 - Introduction and Key ConceptsWhat is Construction Quality and Completions Management?ImportanceIntroduction to Quality ManagementIntroduction to Completions ManagementSection 2 - Construction Quality ManagementThe Quality Management PlanThe WorkBreakdown StructureWriting Inspection and Test PlansCompleting Inspection and Test PlansCommissioningMaterial Data RecordsAuditsNon-ConformancesLot Summary FormQuality and DesignEffective Quality ManagementSection 3 - ConstructionCompletions ManagementUnderstanding completions and handoverManaging completions effectivelyPlanning CompletionsCompletions RequirementsManaging CompletionsReview and conclusionIf you're ready, let's get started!

Explore the intricacies of period mappings and their completions in this hour-long lecture by Philip Griffiths from the Institute for Advanced Study and International Mathematical Sciences Alliance. Delve into the definition, properties, and key results surrounding these mathematical objects, gaining valuable insights into this complex topic within algebraic geometry.

Using natural language to ask questions and get reasonable and useful responses has always been a challenge, until now. GPT models are now capable of receiving prompts in natural language and responding in amazing ways, what we know as Generative AI. In this course, OpenAI Chat Completions API, you’ll gain the ability to use the Chat Completions endpoint that allow you to create applications that “understand” and can reply using natural language. First, you’ll explore the available GPT models with their corresponding characteristics, advantages, and things to look out for. Next, you’ll discover the Chat Completions API along with all the available parameters and how they affect responses. Finally, you’ll learn how to create better prompts to get even better responses. When you’re finished with this course, you’ll have the skills and knowledge of the OpenAI API needed to create an application that receives prompts in natural languages and provides excellent responses using generative AI.

Explore the intricacies of low-rank tensor completion in this 32-minute lecture by Ming Yuan from Columbia University. Delve into the challenges associated with recovering low-rank tensors from partial observations, a task increasingly common yet complex due to the delicate nature of higher-order tensor decomposition. Examine several approaches to low-rank tensor completion, including matrix composition, multilinear ranks, and simple matrices. Gain insights into initialization techniques and compare two main approaches to solving this problem. This talk, part of the "Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021" workshop at the Institute for Pure & Applied Mathematics (IPAM), UCLA, offers a comprehensive overview of recent investigations in this field.

Learn about well completion and workover fluids in this 14-minute educational video from PetroNile Academy. Explore essential concepts in petroleum engineering related to the fluids used during well completion operations and workover procedures in oil and gas wells. Gain valuable insights into the specialized fluids that play crucial roles in maintaining well integrity, controlling formation pressure, and optimizing production performance in the petroleum industry.

Learn advanced well completion operations through this 39-minute technical presentation delivered by the BUOG SPE Student Chapter, covering sophisticated techniques and methodologies used in the oil and gas industry for optimizing well productivity and ensuring safe, efficient completion processes.

Learn advanced well completion operations through this 54-minute technical presentation delivered by the BUOG SPE Student Chapter, covering sophisticated techniques and methodologies used in the final stages of oil and gas well construction to optimize production performance and ensure operational safety.

Explore pairs of models in ACFA (the limit theory of algebraically closed fields in positive characteristic with Frobenius automorphism) and their application to studying definable types in valued difference fields, drawing analogies with Hrushovski-Loeser's stable completions of algebraic varieties. Discover preliminary steps toward developing a theory of stable completions in valued difference fields, examining the mathematical foundations and open questions that remain for future research. Learn about ongoing collaborative work between leading researchers in model theory and algebraic geometry, focusing on the intersection of difference fields, valuation theory, and stable completion techniques. Gain insights into advanced topics in mathematical logic including ACFA theory, definable types, and the geometric aspects of model-theoretic constructions in positive characteristic settings.

Learn advanced well completion operations through this comprehensive technical webinar presented by the BUOG SPE Student Chapter. Explore sophisticated completion techniques, equipment selection, and operational procedures essential for modern oil and gas well development. Master the fundamentals of completion design, including casing and tubing systems, perforation strategies, and production optimization methods. Gain insights into completion fluid management, sand control techniques, and artificial lift systems used in complex well environments. Understand the integration of completion operations with reservoir engineering principles and production forecasting. Examine case studies demonstrating best practices in completion design for various reservoir types and production challenges. Develop expertise in completion equipment selection, installation procedures, and troubleshooting common operational issues encountered during well completion activities.

Did you know that AI-powered code completion tools can significantly accelerate coding tasks and enhance code quality? This short course was created to help software engineers, developers, and coding enthusiasts use Generative AI for Code Completion. By completing this course, you'll be able to: - Understand the role of AI in code completion. - Gain familiarity with basic and advanced usage of Generative AI tools for coding, such as ChatGPT and GitHub Copilot. - Apply AI-driven code completion tools in real-world coding scenarios to enhance productivity and code quality. By the end of this course, you will be able to: - Apply Large Language Models (LLMs) for both basic and advanced code completion to enhance coding efficiency and accuracy. - Evaluate Generative AI tools to enhance productivity, creativity, and problem-solving capabilities in software development workflows. This course is unique because it bridges AI technology with practical coding skills, equipping you to leverage AI-driven code completion tools effectively. To be successful in this project, you should have basic programming knowledge and familiarity with coding.

Psychology in the Workplace. Hiring Employees and the Foundations of Human Resources (HR). What you'll learn: How I/O psychologists are trained, how they work, and what they profess to accomplishJob analysis and HR functioningThe various formats used in the evaluation of performanceTheories of psychological concepts and major perspectives in I/O psychology Course Description: The primary goal of this course is to establish a foundation of knowledge for the understanding of industrial/organizational psychology. In order to achieve this goal, the course objectives are offered as guidelines for evaluation of the progress of the student in the course.Students will learn about the following:History and Research Methods of I/O – How are psychologists trained? And what do they do?Job Analysis – Descriptions and specifications, and job evaluation.Criterion Measurement – Distinctions among performance criteria. Objective vs Subjective Criteria, and contextual performance.Performance Management – the role of I/O psychology in performance management. And the importance of the social-psychological context.Predictors – Exploring various testing formats to include computer adaptive testing, and the paper-and-pencil performance tests.Selection Decisions and Personnel Law – Recruitment and selection the best candidate for the job. Also, legal issues in industrial psychology.Training and Development – First to assess the training needs, then learning way to best deliver that training. Training on sexual harassment and workplace diversity management.Motivation – We will learn about the theoretical perspective of motivation and the applicational of motivational theories to organizational problems.Job Attitudes – attitudes, intentions, and behavior. Job satisfaction, measurement and dimensions.Stress and Worker Well-Being – identifying stressors and strains…to include work-family conflict, child-care benefits and assistance, psychological effects of job loss, and workplace violence.Group Processes and Work Teams – understanding group dynamics and working in teams. How social influence affect decision making.Leadership – Various leadership theories and what it takes to be an effective leader.Organizational Theory and Development – classical organizational theory, models of organizational change, and organizational development interventions.

Explore the intersection of machine learning and tensor-based modeling in this 27-minute video from Chemometrics & Machine Learning in Copenhagen. Discover how combining classification and tensor decomposition methods can reformulate classification problems as tensor completion tasks. Learn about the advantages of this tensor-based learning approach, particularly in scenarios with limited training samples, and understand how it can outperform state-of-the-art methods. Gain insights into the application of this innovative technique for tackling real-world classification challenges across various domains.

Explore completion techniques and their role in the energy transition through this insightful 42-minute conference talk delivered by Dr. Jennifer Miskimins from the Colorado School of Mines. Gain valuable knowledge about the latest advancements in completion methods and their impact on the evolving energy landscape. Understand how these techniques are adapting to meet the challenges of sustainable energy production and environmental considerations. Delve into the intersection of traditional oil and gas practices with emerging clean energy technologies, and discover how completion techniques are evolving to support the global shift towards more sustainable energy sources.

Learn advanced well completion operations through this 53-minute technical presentation delivered by the BUOG SPE Student Chapter, covering sophisticated techniques and methodologies used in the fourth phase of well completion processes within the petroleum engineering field.

Have you ever wondered how your favorite messaging app suggests possible next words when you are writing a message or how your email application suggests possible endings of the sentences when you are composing an email? All these are examples of text auto-completion systems which are data-driven systems that assist their users in writing texts. In this course, Implement Text Auto Completion with LSTM, you'll learn how to build an LSTM-based email auto-completion system from scratch using Python and Keras. First, you'll learn in detail how LSTM networks work. Next, You'll discover how LSTMs can be used to build network architectures for various natural language processing tasks and specifically, the task of sentence auto-completion. Finally, you'll explore an open-source email dataset and build a system for email auto-completion using LSTM networks. By the end of this course you’ll have an in-depth knowledge of text auto-completion systems and the capability of implementing one such system using Python and Keras.

Explore a comprehensive lecture on Causal Matrix Completion and its applications to offline scenarios, presented by Anish Agarwal from Amazon, India. Delve into advanced data science concepts as part of the "Data Science: Probabilistic and Optimization Methods" discussion meeting organized by the International Centre for Theoretical Sciences. Gain insights into cutting-edge techniques in data processing, analysis, and algorithmic approaches that are driving the current data science revolution. Learn how traditional model-based methods are being combined with data-driven approaches to achieve optimal results across various scientific disciplines. Discover the intersection of high-end mathematics, heuristics, optimization, linear algebra, and probability and statistics that form the backbone of modern data science. Benefit from exposure to leading themes in the field and explore new directions in probabilistic and optimization techniques.

Watch a 59-minute Topos Institute Colloquium talk exploring the concept of "generalized existential completion" in Lawvere doctrines and its practical applications. Dive into an algebraic characterization of existential-free formulas and discover how this framework helps identify various doctrinal examples, including subobjects doctrine, weak subobjects doctrine, realizability triposes, and supercoherent localic triposes. Learn about the construction's applications to dialectica interpretation, understanding how algebraic descriptions of quantifier-free formulas demonstrate logical principles in categorical settings. Based on collaborative research works by Maria Emilia Maietti, Davide Trotta, Matteo Spadetto, and Valeria de Paiva, gain insights into the relationship between logical systems and categorical frameworks through dialectica doctrines.

Learn how to effectively utilize the OpenAI Chat Completions API in this 25-minute tutorial. Explore the fundamentals of integrating this powerful tool into your projects, gaining hands-on experience with practical examples and best practices. Discover techniques for crafting prompts, handling responses, and optimizing your API usage to create more intelligent and interactive applications.