12 053 cours
'Google Cloud의 네트워킹' 과정은 6부로 구성되어 있습니다. 6부로 구성된 과정의 첫 번째 순서인 'Google Cloud의 네트워킹: 기초'에 오신 것을 환영합니다. 이 과정에서는 네트워킹 기초, 가상 프라이빗 클라우드(VPC), VPC 네트워크 공유 등 핵심 네트워킹 개념을 포괄적으로 소개합니다. 또한 네트워크 로깅 및 모니터링 기법에 대해서도 알아봅니다.
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【课程介绍】 《当代应用心理学》是由云林科技大学 刘威德教授主讲的一门应用心理学课程 并由云林科技大学 惠龙博士担任总顾问 课程将精选八项心理学与日常生活息息相关的应用议题，藉由生活对象设计(人因心理学)、消费行为、领导管理、性格分析、犯罪行为、心理保健与心理测验、人际关系等方面运用生活知能、个体行为与态度、测验诊断加以说明诠释应用心理学之奥妙。例如:自行车设计动向、民众购车消费行为、便利商店兑币代换机制、组织领导策略、关注情绪管理、人格特质透析、以及如何经营成功良好的职场与人际关系等事例，深入浅出探讨来应用心理学的理论与实际生活经验分析概念。 【课程大纲】 探讨从众/群众心理、消费行为模式、成功营销的法则、消费者的觉察-广告营销的心理法则、广告营销心理实例探讨、探讨领导管理的现象、管理组织的策略、成功领导者的特质、组织人事的经营管理、探讨人格特质分析、人格的形成和发展、性格的影响因素、性格的常态与偏态、探讨犯罪心理、偏差行为发展脉络分析、法律与生活的关系、犯罪与偏差行为的预防-罢凌行为的心理探讨、探讨心理保健层面、情绪管理、快乐心理、落实小区心理保健、个别心理特质的差异、心理测验的原理、探讨如何藉由心理测验及诊断工具了解个别特质的差异、心理测验的迷思概念、探讨人际关系互动网络、人际关系的影响因素、成功职场心理的经营、职场的求职陷阱以及以上各内容之实例。 第1周：心理学原理概述Introduction 第2周：人因心理学原理简介及实例探讨Human Factors and Ergonomics 第3周：消费者心理学原理简介及实例探讨Consumer Psychology 第4周：组织及领导心理学原理简介及实例探讨Leadership Psychology 第5周：性格心理学原理简介及实例探讨Personality Psychology 第6周：法律与犯罪心理学原理简介及实例探讨 Law and Criminal Psychology 第7周：身心健康与适应心理原理简介及实例探讨Mental Health Psychology 第8周：心理测验与个别特质差异的原理简介及实例探讨Psychological Testing 第9周：人际与职场心理的原理简介及实例探讨Human Relationship and Career Psychology 【学习目标】 心理学是一门探讨人性的科学，剖析个体的内隐心理历程和外显行为反应。涉及范围广泛，涵括有认知、情绪、人格、人际、和领导等多方领域，同时也和日常生活息息相关如婚姻、消费、家庭、对象设计等密不可分，心理学的影响层面扩及到教育、社会、科学、医学、生物等层面。因此，探讨分析心理学所产生的生理行为间接亦或直接影响到个人心智，运用大脑运作模式来解释个人行为，应用层面在日常生活中比比皆是。本课程之目标在于探讨心理学的科学理论基础原理、以心理学的观点检视剖析周遭生活中的个人与社会行为现象，并进而能够觉察与改变个人的心理历程与行为模式，终而能够经营圆满合谐而健康的人生。 【学习要求】 本课程的在线教材将以较短的课程长度实施9周，每周2小时，共18小时，每周规划一主题(topic)，每一个主题分为若干节(section)或讲次(lecture)，以及符合学习专注力时间长度的上课内容（15分钟小单元），透过在线学习平台，由教师制作提供主题明确且长度适中的单元教学影片，辅以测验及作业，让学生依自己学习步调在线自我学习，并藉由教师设计安排的学习互动，与老师及同侪于虚拟平台或实体空间进行探索讨论。教学互动及评量回馈，提升在线学习的质量及效能，期能建立华文课程品牌。 【教材教参】 Sternberg, Robert J. (2004). Psychology 4th.C.A. Thomson Wadsworth. Bekerian, D. A. &Levey, A. B. (2005). Applied Psychology. Oxford. Cascio, W. F. &Aguinis, H. (2005). Applied Psychology in Human Resource Management. Pearson Prentice Hall. 美国心理学会(American Psychology Association, APA)资源 张春兴(1991).现代心理学。台北：东华书局。 张春兴(2003).心理学原理。台北：东华书局。 张春兴主编.世纪心理学丛书。东华书局(繁体字版)。浙江教育出版社(简体字版)。
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This is a self-paced lab that takes place in the Google Cloud console. Create a Google Cloud SQL MySQL instance and perform SQL operations using Google Cloud Platform Console and mysql client. Watch this short video, Manage PostgreSQL and MySQL Databases Easily with Cloud SQL.
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In this course, learners of all AI comfort levels will learn the foundations of using generative AI for SWOT analysis. Whether you're an executive, a team leader, or a professional looking to upskill your Ai literacy, this course will equip you with the tools and knowledge to leverage generative AI for conducting SWOT analyses in specific use cases. The instructors use conversational learning and Chat/GPT demonstrations to guide learners through leveraging ethical AI outputs and deploying a University- tested Rhetorical Prompt Engineering Framework to get the most useful, relevant, accurate, and ethical outputs for SWOT analysis Throughout this course, learners will find practical examples and use cases to illustrate how collaborating with generative AI can enhance your SWOT analyses. By the end of this journey, learners will have a comprehensive toolkit to improve efficiency, clarity, and impact in SWOT use cases
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In this 1-hour long project-based course, you will learn how to map your customer interactions, align marketing and service opportunities, design a process for achieving and measuring customer satisfaction. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include functional programming in R, robust error handling, object oriented programming, profiling and benchmarking, debugging, and proper design of functions. Upon completing this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Because every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.
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Learners will analyze market sentiment, interpret price components, evaluate chart patterns, identify trends, and apply support and resistance strategies using volume confirmation. By the end of this course, learners will be able to assess market structure, interpret technical signals, and make disciplined trading decisions based on probability rather than emotion. This course provides a structured, step-by-step approach to technical trading—starting from market psychology and demand-supply fundamentals to advanced chart interpretation and breakout validation. Learners will develop the ability to read candlestick and line charts, recognize trend continuation patterns, and integrate volume analysis for stronger confirmation. What makes this course unique is its integrated focus on psychology, price action, volume dynamics, and market structure—ensuring learners not only understand technical indicators but also the behavioral forces driving price movement. Upon completion, learners will gain practical analytical skills to identify high-probability trade setups and improve consistency in technical trading decisions across different time frames.
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In this course, we will apply skills related to test-driven development in a capstone project. This will test your ability to use exception handling, mock objects, and unit tests in a TDD lifecycle. After completion, you'll have a portfolio piece program that demonstrates you have a solid understanding of all concepts related to TDD!
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This course provides a guide to building backend systems with Node.js and TypeScript, combining strong typing with modern server-side practices. It demonstrates how TypeScript improves reliability, security, and scalability in backend projects by enforcing type safety and consistency across routes, middleware, databases, and authentication flows. Through hands-on lessons and real-world demonstrations, you’ll start by setting up Node.js projects with TypeScript, configuring linting, formatting, and logging tools. You will then learn to build secure and maintainable servers using Express, define typed APIs and middleware, and implement error handling patterns. The course progresses to integrating MongoDB with Mongoose, where you’ll create typed schemas, models, and perform CRUD operations with validation, indexing, and transactions. Finally, you’ll explore authentication with JWTs, role-based access control (RBAC), and automated testing with Jest to ensure backend reliability. By the end of this course, you will be able to: Initialize and configure Node.js projects with TypeScript, ESLint, Prettier, and strict compiler settings. Build Express servers with typed routes, middleware, error handling, and APIs. Design and validate MongoDB schemas and models with Mongoose in TypeScript. Perform CRUD operations, query optimization, and transactions with strong typing. Implement secure authentication using JWTs and enforce role-based access control. Write unit and integration tests with Jest to validate controllers, routes, and database operations. Develop a production-ready backend system where TypeScript ensures maintainability, security, and long-term scalability. This course is ideal for JavaScript and Node.js developers who want to strengthen their backend skills with enterprise-level TypeScript practices. A solid understanding of JavaScript, Node.js basics, and OOP in TypeScript is recommended before starting. Join us to master backend development with TypeScript and learn how to design secure, scalable, and production-grade APIs!
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This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery.
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Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator berteknologi AI generatif dari Google Cloud, membantu developer membangun aplikasi. Anda akan mempelajari cara memanfaatkan Gemini untuk menjelaskan kode, merekomendasikan layanan Google Cloud, dan membuat kode untuk aplikasi Anda. Dengan lab interaktif, Anda akan merasakan peningkatan alur kerja pengembangan aplikasi menggunakan Gemini. Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn and get hands-on practice with the fundamental concepts of Reinforcement Learning.
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