How to be a People Leader

In this course, we’ll be looking at leadership through the lens of psychological health and safety, which means we’ll be diving into the real workplace factors that shape well-being—things like stress, burnout, inclusion, communication, and conflict resolution.

We start by laying the foundation of strong leadership—what makes an effective leader, how your leadership style impacts your team, and how you can build trust, engagement, and accountability in your workplace.

We’ll also focus on employee mental health—how to recognize when someone on your team may be struggling, how to support them effectively, and how to ensure that mental health conversations are handled in a way that reduces stigma and fosters trust.


Real Estate Finance & Mortgage Advisory

Master mortgage fundamentals, property law, and real-world lending decisions to become a confident mortgage advisor.
Learn how to evaluate borrowers, understand legal frameworks, and identify risks in mortgage transactions.

This course provides a comprehensive understanding of mortgage concepts, including loan against property, commercial mortgage, and financial intermediation. You will explore the legal aspects of property ownership under the Transfer of Property Act, analyze different types of mortgages, and understand the rights and liabilities of both borrowers and lenders.

Additionally, the course highlights real-world risks such as mortgage frauds, loopholes in lending processes, and preventive measures to ensure safe transactions. You will also gain clarity on freehold and leasehold properties and their implications in mortgage decisions.

By the end of this course, you will be equipped to evaluate mortgage suitability, guide clients effectively, and apply practical knowledge in banking and real estate environments.


Becoming a Sports Agent

An immersive experience in the world of sports that will take students through the four stages of a professional athlete's career. Utilizing lectures, guest speakers, reading assignments and hypothetical walkthroughs, students will learn how the best sports agents manage clients at each of these four stages.

This course will provide each student with the skills necessary to guide an athlete through the difficult decisions that can make or lose the athlete millions of dollars, as well as affect their public image and career. Walking through the four stages of an athlete's career, we will provide a broad scope of the landscape of amateur and professional sports so that you can avoid the pitfalls and traps that so many have fallen into in the past; not to mention, bringing you updates throughout the course regarding the rapidly changing sports world that we live in today. Analyzing the best practices in the management of the superstar athletes with whom Professor Carfagna, Professor Volante and their expert guests have worked, we will show you how to manage the career of any professional athlete who might seek your guidance at any stage of his or her professional career.

11 modules of study, approximately 2 to 2.5 hours of work per module

Peter A. Carfagna
Richard J. Volante, Esq.


Privacy in the USA

Enhance your understanding of privacy laws with our focused course on American Privacy Law, a natural progression after completing "Privacy in the Western World." This course is designed to give you a comprehensive view of how privacy is protected within the American legal framework.

The course begins by examining the constitutional protection afforded by the 4th Amendment, which acts as a critical safeguard against unwarranted governmental intrusion. Further, you will explore a range of consumer protection laws that encompass various sectors like health and finance. Additionally, the course details specific laws designed to protect the privacy of multiple forms of communication, including mobile telephony, e-mail, and online searches.

Upon successful completion, you will be well-prepared to understand and follow ongoing legal developments in the American context of privacy protection. Elevate your understanding of privacy in the American context. Enroll today to get started.

6 weeks of 4 hours, plus exam and preparation, total of 40 hours


The Art and Science of Economic Policy

Based on the acclaimed book, ‘In Service of the Republic’, by Vijay Kelkar and Ajay Shah, this course presents a rigorous framework for understanding economic policymaking – through concepts, cases, and discussions.

Why do well-intentioned policies fail? How do incentives, transparency, and State capacity determine policy outcomes? And what does economic policymaking look like, in a complex democracy like India?

Drawing from one of the most widely read and discussed books on Indian public policy, the course The Art and Science of Economic Policy translates a comprehensive volume into an interactive learning experience—combining video lectures, Indian case studies, readings, and forums.

In this six-module, self-paced course, learners will work through core concepts in economic policymaking—the role of the government, market failure, information problems, and institutional design—and the collaborative pathways between government and knowledge institutions through which policy is designed and implemented.

No prior economics training is required for enrolment, though familiarity with basic concepts will be helpful.

You should enrol, if you are:
• Civil servants and government officials working on economic and urban policy
• Aspirants preparing for the IAS, IPS, and other civil services examinations
• Policy researchers and development sector professionals
• Students of public policy, economics, business, or law
• Corporate employees and business leaders looking to understand economic policy and development work

Why you should enrol:
Each citizen plays an important role in shaping the Indian Republic. This course explains the relevance and impacts of economic policymaking in everyday life in an accessible manner—enabling citizens, public servants, and learners to understand the implications of various aspects of governing a Republic.

By the end of this course, you will:
• Understand the role of the government in economic policymaking—and the conditions under which it succeeds or fails
• Recognise the objective aspects of policymaking, and appreciate the softer and people-focused aspects involved
• Gain the ability to analyse the steps involved in the process of policymaking, and understand the various nuances and challenges in defining and implementing it
• Be able to engage more confidently and rigorously with economic policy debates—as a citizen, a practitioner, or a student of public affairs.


This micro-course explores some of the major histories, migrations, artists and activists that have contributed to the presence and survival of Black people in Canada. The course tracks Canada’s evolving relationship to Blackness and Black people, while inviting learners to reflect upon the ways Canadian views of race and multiculturalism have influenced Black communities throughout the country. We invite you to reflect, dream, and think alongside some of today’s most prominent Black intellectuals as we examine the history of Black presence in Canada, and imagine vibrant Black Canadian futures.

Black Canadians: History, Presence, and Anti-Racist Futures


The National Institutes of Health (NIH) has a new policy for the management and sharing of scientific data starting for (most) grants submitted January 25, 2023 or later. In this course we will describe what the new policy requires, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

This course is for anyone writing a grant proposal for NIH that needs to know more about this policy and how to abide by it. It will guide learners gently through the process and help you figure out where you might need to share your data.

This course is intended for those who are somewhat familiar with the grant writing process, however those who are completely new to grant writing will still find the material useful, but may need to look up a few terms.

Learning Objectives:
1) Explain why the NIH has implemented this new policy
2) Describe the elements required in a data management and sharing plan
3) Identify appropriate data sharing repositories for different projects
4) Write a data management and sharing plan

Unique Features of this Course
- Beginner friendly for those who want to get started learning about this policy
- Guided gentle step-by-step process to write your own data management and sharing plan
- Easy access to  relevant links associated with this policy and helpful tools
- Helpful guidance about where to share your data
- Information about nuances involved in the policy

Key Words
Data Sharing, NIH, Data Management, Data Sharing and Management Plans, Grant Writing, Grant Applications

Intended Audience
- Those involved in writing NIH grants
- Those involved in submitting NIH grants

Accessibility

We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/.

Data Management and Sharing for NIH Proposals


As global pressure grows to cut emissions and reduce resource use, high-tech manufacturers face the challenge of achieving sustainability without sacrificing performance or innovation. This practical course equips engineers, operations managers, and sustainability professionals with the skills to integrate sustainable practices into advanced manufacturing environments. Through real-world examples and interactive exercises, you'll learn how to reduce energy use, minimize waste, and improve environmental performance at the facility level. Explore emerging technologies like AI-driven optimization, IoT-based monitoring, and eco-friendly materials that are shaping the future of manufacturing. You’ll also gain an understanding of global sustainability regulations, ESG reporting standards, and carbon credit markets across regions such as the EU, U.S., and India.

This course is designed for professionals in manufacturing, operations, and sustainability roles who want to drive measurable environmental impact. It’s equally useful for engineers, plant managers, and corporate leaders looking to align production strategies with ESG and regulatory expectations.

Learners should have a basic understanding of manufacturing operations, sustainability principles, and environmental regulations. No advanced technical background is required, but curiosity about technology and innovation will help you get the most out of the course.

By the end, you'll be able to implement effective sustainability strategies, navigate compliance requirements, and support your organization’s environmental goals with confidence.

Sustainable Practices in High-Tech Manufacturing


Material Jetting and Stereolithography

This course looks at two photopolymer resin-based processes: material jetting and stereolithography. We walk through the build preparation, printing, and post-processing for both processes, and discuss the kinds of applications for which these processes are well suited.

The necessary elements for each course are lecture videos, knowledge checks, and project completion. For additional information on certain topics, I've included supplemental readings and videos throughout various lessons that might enhance your knowledge. Because all resources are not available to all students, these materials are optional.

In addition, you will note that some of the lectures feature our department’s graduate students. These excellent students are sometimes closer to the material, having learned it recently, so we greatly appreciate their participation in the instructional process.


Micro and Nanofabrication (MEMS)

Learn the fundamentals of microfabrication and nanofabrication by using the most effective techniques in a cleanroom environment.

Microfabrication and nanofabrication are the basis of manufacturing for nearly all modern miniaturized systems that are ubiquitously used in our daily life. Examples include; computer chips and integrated sensors for monitoring our environment, cars, mobile phones, medical devices and more.

Micro- and nanofabrication can be taught to students and professionals by textbooks and ex-cathedra lectures, but the real learning comes from seeing the manufacturing steps as they happen.

In this engineering course, we will go a step beyond classroom teaching to not only explain the basics of each fabrication step but also show you how it’s done through video sequences and zooming into the equipment. For some selected examples, students will also be able to set process parameters on a virtual panel to see how it affects the processing results.

École Polytechnique Fédérale de Lausanne


工程圖學 2D CAD

工程圖學在教什麼？這門課有的重要性為何? 對我的專業有什麼幫助?沒有工程背景的人也可以學習工程圖學嗎？我不是工程師，學習工程圖學對我的生活有幫助嗎？
這門課是CAD/BIM技術與應用專項課程的第一門課，與其他三門課「工程圖學2D專題」、「工程圖學3D」，及「工程圖學3D專題」，作為工程圖學及電腦繪圖的入門課程，你將在這門課會學到各種繪圖的原理與方法，以及AutoCAD電腦繪圖技術，並在相關的作業練習中，逐漸熟練這些基本技術。
工程製圖的應用無所不在，最主要的目的就是利用圖像來描述物體的形貌與功能，作為保存與傳遞想法的工具。繪圖一點也不難，無論你從事什麼工作，來自什麼背景，只要你具備中學程度的基本幾何和三角函數概念，就可以在這裡從頭開始，學會工程圖學！你會驚訝的發現，當繪圖融入你的生活時帶來的趣味與方便！


材料力學一 (Mechanics of Materials (1))

課程介紹與教學目標 (About the course)
　　房屋為我們遮風避雨，讓我們安心工作、生活，而結構系統又是房屋的骨幹，讓房屋能站的又高、又直、又穩。你知道橫者為梁，直者為柱，但你知道在結構工程師的眼中，梁與柱有什麼其他的不同嗎？他們其中藏著什麼秘密，能支撐起整個結構？工程師要怎麼決定梁該有多深？柱該有多粗？該用矩形、圓形還是其他形狀？該用實心還是空心？在有地震的地方，設計上是否又有不一樣的考量？
　　材料力學是通往上述問題解答關鍵的一步。在材料力學(一)裡，我們會由大家熟知的虎克定律開始，以蓋房子的重要材料「結構鋼」為例，深入探討「力量」與「變形」這兩個令結構工程師愛恨交加的物理量之間的關係。然後依序探討結構桿件受軸力（拉/壓）、受扭、受彎、受剪四大外力作用下，會在桿件內部產生怎樣的相對應變形與受力，並探討建築結構設計概念與提供桿件設計演算範例。
　　本課程是希望精通「鋼筋混凝土設計」、「鋼結構設計」、「木構造設計」者必備的先修課程，也為對「彈性力學」有興趣者，提供許多基礎知識與這些知識如何實際應用於工程設計。
主要授課對象為土木、建築相關從業人員與在學學生，其他包括工學院各科系同學或對材料力學有興趣的人士，也歡迎選修。

授課形式 (Course format)
　　本堂課將以影片的形式為主, 搭配課後作業及期末報告的形式來進行。

修課背景要求 (Recommended background)
　　靜力學 ( Statics )


Applied Sustainability Engineering

Applied Sustainability Engineering, the second course in the "Applied Sustainability for Technical Managers" specialization discusses the techniques used by engineers and scientists to develop and assess the environmental impact of products and processes required to make those products. It begins with a discussion of different renewable energy technologies and their economics – highlighting how continued reductions in cost have made wind and solar power the least expensive way to generate electricity. It then addresses carbon footprints and how they are determined, applying a practical example where you determine your residential and transportation carbon footprints. From there, the course transitions to defining sustainable and circular products and packaging and showcasing several examples. As Technical Managers, you’ll need metrics for determining whether a product is truly sustainable, so the course introduces techniques such as Life Cycle Assessment (LCA), Streamlined LCA (S-LCA), and the Eco-Audit methodologies. The course concludes with an overview of sustainable product design frameworks, including Cradle-to-Cradle, Design for the Circular Economy, and Biomimicry, just to name a few.

This course is very practical, introducing you to several areas critical to managing and learning about sustainability initiatives, from assessing the environmental and social impacts of a product or process, to designing more sustainable and circular products. If you want to work towards having a positive impact on the planet and on society, then this course is for you!

This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge.

The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization.

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

6-10 hours per week, the entire course can be completed in 5-6 weeks


Introduction to Power Electronics

This course can also be taken for academic credit as ECEA 5700, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This course introduces the basic concepts of switched-mode converter circuits for controlling and converting electrical power with high efficiency. Principles of converter circuit analysis are introduced, and are developed for finding the steady state voltages, current, and efficiency of power converters. Assignments include simulation of a dc-dc converter, analysis of an inverting dc-dc converter, and modeling and efficiency analysis of an electric vehicle system and of a USB power regulator.

After completing this course, you will:
● Understand what a switched-mode converter is and its basic operating principles
● Be able to solve for the steady-state voltages and currents of step-down, step-up, inverting, and other power converters
● Know how to derive an averaged equivalent circuit model and solve for the converter efficiency

A basic understanding of electrical circuit analysis is an assumed prerequisite for this course.


재생 에너지: 기본 원칙 및 일자리 창출

이 강좌는 다양한 재생 에너지 솔루션의 복합성과 미묘한 차이에 대한 지식을 쌓을 수 있도록 도와주고 관련 커리어 기회(기술 관련 커리어 및 일반적으로 청정에너지와 관련되지 않은 직무 모두)에 대한 지식도 제공합니다. 수강생은 녹색 에너지 기술, 지속가능성이 사회에 미치는 영향, 미국의 에너지 소비 및 보존에 대한 토론에 적극적으로 참여합니다. 주제는 다음과 같습니다. 녹색건축 설계 및 건설의 원리, 광전지를 통한 태양 에너지 변환, 풍력 터빈 부지 선정 및 설계, 청정에너지에 나노 기술 적용. 이 강좌는 각 청정에너지 시장 부문에 해당하는 뉴욕 주립 대학교(SUNY) 시스템의 교육 기회를 참조합니다.

재생 에너지 분야에 진입하려는 사람이라면 신규 종사자든 업종 전환자든 누구나 이 강좌에서 도움을 얻을 수 있습니다. 자료에는 온라인 강좌. 영상, 데모, 읽기 자료, 토론이 포함됩니다. 수강생은 관심 있는 분야의 직업이 무엇인지 정의하고, 부족한 부분이 무엇인지 평가하여 추가로 필요한 교육/훈련/역량이 무엇인지 정하고, 원하는 재생 에너지 커리어 패스를 문서화하여 커리어 로드맵을 만듭니다.


Introdução ao Controle de Sistemas

Este curso apresenta os principais conceitos do controle de sistemas e mostra suas vantagens e importância para a sociedade moderna. Você vai entender o que é o controle de sistemas e como o controle com realimentação funciona, e passará a perceber a sua presença em diversas situações em seu dia-a-dia, na natureza, no corpo humano e em diversos dispositivos, desde os mais simples até os mais complexos.

Você vai perceber a necessidade de modelos teóricos para a análise e o projeto do controle de sistemas e aprenderá como verificar se um sistema atende a determinados requisitos de desempenho. Você também aprenderá como projetar um controle simples de modo a obter o melhor desempenho possível de um sistema de controle. Este é apenas o primeiro passo em direção a um vasto campo do conhecimento e lhe dará a base e a segurança necessárias para avançar em seus estudos no maravilhoso mundo do controle de sistemas.


Basic HVAC Tools

The foundation of every successful HVAC career is built upon the mastery of the industry's essential tools. This introductory course provides a comprehensive guide to the specialized equipment required to deliver exceptional quality and safety in heating, cooling, and ventilation work. This training bridges the gap between simply owning tools and understanding their precise function in the field.

By the end of this course, you will be able to identify common hand and specialized tools used in modern HVAC applications. You'll be able to explain the specific purpose and engineering behind each tool and describe the proper and safe usage of equipment to support field-ready skills.

In this course you will explore how using the right tool impacts the accuracy of installations and the efficiency of troubleshooting. By completing this training, you will gain the practical knowledge necessary to perform tasks with the confidence and precision of a master technician.


Our Energy Future

This course is designed to introduce students to the issues of energy in the 21st century – including food and fuels – which are inseparably linked – and will discuss energy production and utilization from the biology, engineering, economics, climate science, and social science perspectives.

This course will cover the current production and utilization of energy, as well as the consequences of this use, examining finite fossil energy reserves, how food and energy are linked, impacts on the environment and climate, and the social and economic impacts of our present energy and food production and use. After the introductory lectures, we will examine the emerging field of sustainable energy, fuel and food production, emphasizing the importance of developing energy efficient and sustainable methods of production, and how these new technologies can contribute to replacing the diminishing supplies of fossil fuels, and reduce the consequences of carbon dioxide release into the environment. This course will also cover the importance of creating a sustainable energy future for all societies including those of the developing world.  Lectures will be prepared and delivered by leading UC San Diego and Scripps Institution of Oceanography faculty and industry professionals across these areas of expertise.

45 hours of videos, quizzes and peer reviews


GIS Data Formats, Design and Quality

In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules:

Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services.

Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS.

Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products.

Week 4: Explore datasets and assess them for quality and uncertainty.  You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online.

Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.


Site Investigation

Welcome to the comprehensive Site Investigation course, unfolding across four enlightening modules crafted to provide learners with a profound understanding of the complex world beneath our feet. In Module 1, participants will delve into diverse site investigation types, methods, and codal provisions, gaining practical insights to adeptly select drilling and sampling approaches tailored to specific soil conditions. Module 2 will take learners on an exploration of field tests, including SPT, SCPT, DCPT, and Plate Load Tests, fostering proficiency in conducting these tests and providing a nuanced understanding of alternative methods such as Vane Shear Test and Pressuremeter Tests. In Module 3, learners will unravel the essentials of site investigation reports, mastering the analysis of crucial data while delving into the intricacies of liquefaction susceptibility and mitigation methods. Finally, Module 4 will immerse learners in a Virtual Laboratory for soil testing, where they will acquire hands-on skills in conducting tests like liquid limit, plastic limit, compaction, shear strength, consolidation, and permeability—essential tools for their journey into the realm of site investigation and engineering applications.
To strengthen acquired knowledge and ensure a continuous learning flow, learners are encouraged to regularly participate in the course on a weekly basis. Consistent review of topics not only fosters clarity but also deepens understanding. Quizzes and assignments are thoughtfully designed to evaluate learners' comprehension, and in instances of difficulty in recall, revisiting content for better understanding is always an option. Supplementary reading materials are provided for additional information and in-depth analysis. Learners are urged to explore these materials, as they delve into practical aspects and real industry cases. Active engagement in the discussion forum is strongly advocated. Collaborating with peers facilitates the exchange of ideas and perspectives, fostering a cooperative learning environment. Interacting with peers proves valuable for validating and reinforcing learning.
The course, meticulously crafted and presented by professionals with extensive industry expertise, provides an excellent opportunity to glean insights from seasoned masters. Get ready to uncover the secrets beneath the surface and build a solid foundation of knowledge in Site Investigation!


As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic systems. You will learn how to implement these filters in Octave code and compare their results. You will be introduced to adaptive methods to tune Kalman-filter noise-uncertainty covariances online. You will learn how to estimate the parameters of a state-space model using nonlinear Kalman filters.

Four weeks of study, about 5 hours per week

Nonlinear Kalman Filters (and Parameter Estimation)


Leading the Circular and Sustainable Business is the third and final course in the specialization, Applied Sustainability for Technical Managers.

This course focuses on the business case for sustainability.  It begins by defining a sustainable business, one that is inclusive of all stakeholders and how new organizational structures support the sustainable enterprise, enabling the business to go beyond corporate social responsibility (CSR) initiatives. The course highlights sustainable operations and supply chains, recognizing sustainable products need to be manufactured using environmentally and socially responsible practices. Companies are increasingly marketing products as "green", and the course discusses truthful advertising, greenwashing, and the value of 3rd-party certifications. Sustainable finance is introduced through the lens of the Triple Bottom Line (TBL), using the Environmental P&L to illustrate a company’s environmental costs.
ESG (Environmental, Social and Governance) is increasingly important today, and companies are communicating their progress through Sustainability reports. The course explores how to read a sustainability report, as well as methodologies to generate them, including GRI and CSRD.
The course closes with a discussion of Sustainability Leadership, from starting your own business to effectively communicating with upper management. This course is about empowerment, providing you with the knowledge and tools to be more sustainable in your daily life, in the community where you live, and in the company where you work.

This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge.

The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization.

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.


This course offers a comprehensive introduction to the environmental dimension of Health, Safety, and Environment (HSE) management, blending theoretical foundations with practical guidance. You’ll begin by exploring the core principles of environmental protection and the regulatory landscape—examining how global standards like ISO 14001 shape effective Environmental Management Systems. From there, you’ll learn to monitor environmental conditions, analyze and interpret data, and communicate performance clearly and convincingly.

As you progress, the course delves into the full lifecycle of hazardous materials: characterizing waste streams, evaluating treatment technologies, and understanding regulatory requirements for safe disposal. You’ll build the skills to select appropriate management strategies that minimize risk and environmental impact while ensuring compliance with legal frameworks.

Finally, you’ll master environmental risk assessment and develop robust risk management plans that align with organizational goals. The course culminates with emergency response planning, equipping you to design and implement protocols for environmental incidents that protect people, assets, and ecosystems. Whether you’re new to HSE or an experienced practitioner, you’ll come away ready to integrate environmental stewardship into your safety programs and drive more sustainable, compliant operations.

Environmental Protection and Sustainability


Electrical Characterization: MOSFETs

MOSFET transistor switches are the workhorse of semiconductor-based electronics. In this course, we begin with MOS capacitors and see how to extract the oxide charge density, which is important for controlling the MOSFET threshold voltage. We then review MOSFET electrical characteristics and see how current-voltage measurements are used to determine the threshold voltage. The course project uses real-world data to extract the threshold voltage of a 40 nm gate length MOSFET designed for 5G radio frequency integrated circuits.


Introduction to Biology: Ecology

Ecology is all about connections. In this course, we’ll see how interdependent every living thing is and how people are impacting the natural world. Like all sciences, ecology isn’t just a list of known facts– it’s also a process. I love telling stories, and I’ve included many stories about how we’ve come to know what we know about ecology through observations and experiments.


Analysis of Shallow Foundation

Welcome to the " Analysis of Shallow Foundation" course! In Module 1, we delve into various foundation types, aiding learners in appropriate selection based on project requirements, featuring a real-time case study for practical application. Additionally, participants will explore shallow foundations, gaining insights into their types, advantages, and limitations. Moving on to Module 2, we focus on understanding design prerequisites for shallow foundations on both soil and rock. Learners will gather essential details for bearing capacity calculations, drawing from various field test results, and analyze settlements in cohesive and cohesionless soils. Module 3 equips participants with proficiency in designing raft foundations, enhancing comprehension of associated construction procedures. This includes exploration of various footings and rafts, elucidating their specific applications. Participants will also gain practical experience using PLAXIS 2D software for settlement and bearing capacity analysis. Lastly, in Module 4, we explore special foundations, emphasizing practical applications and understanding the Modulus of Subgrade Reaction. Participants will develop skills to design grade slabs catering to various loading scenarios. Join us in this comprehensive journey into Shallow Foundation Analysis!
To Learners:
To enhance the learning experience, participants are encouraged to actively engage with the course on a weekly basis. Regularly revisiting topics will contribute to improved clarity and understanding.
Quizzes and assignments have been deliberately designed to assess learners' understanding. In cases where information recall is challenging, the option to revisit content for a clearer understanding is readily accessible. Supplementary reading materials are provided to complement the course, offering additional information and in-depth analysis. Learners are encouraged to explore these resources as they address practical aspects and real industry cases.
Active participation in the discussion forum is strongly encouraged. Engaging with peers fosters the exchange of ideas and perspectives, creating a collaborative learning environment. Interacting with peers is invaluable for validating and reinforcing learning.
The course has been intricately crafted and presented by professionals possessing extensive industry expertise. This offers an excellent opportunity to gain insights from seasoned masters.


Industrial Hygiene and Incident Management is a comprehensive course designed to help learners create safer, healthier, and more productive workplaces. The course provides practical knowledge of occupational hygiene, workplace ergonomics, safety in design, and incident investigation methodologies used across industrial sectors. Learners will understand how environmental factors such as noise, vibration, illumination, ventilation, heat stress, cold stress, radiation, workplace violence, and substance abuse can impact worker health and safety. The course also explores ergonomic principles, manual material handling, workstation design, musculoskeletal disorders, ergonomic assessment tools, and risk control measures. In addition, learners will gain insights into Safety in Design concepts, including safe plant layouts, equipment design and electrical safety. The course concludes with incident investigation and root cause analysis techniques such as 5 Why Analysis, Fishbone Analysis, Failure Mode and Effects Analysis (FMEA), and Fault Tree Analysis (FTA), enabling learners to identify causes of incidents and implement preventive actions. Through practical examples and industry applications, this course equips learners with essential skills to improve workplace health, safety, and operational performance.

Learning Objectives
By the end of this course, learners will be able to:
Identify and evaluate occupational hygiene hazards and their impact on worker health and safety.
Apply ergonomic principles to reduce workplace injuries and improve productivity.
Integrate safety considerations into the design of workplaces, equipment, and industrial systems.
Conduct incident investigations and apply root cause analysis techniques to prevent recurrence.
Implement practical control measures to create safer and healthier work environments.

Target Learners
This course is ideal for:
Engineering students and graduates
Safety professionals and supervisors
Industrial, manufacturing, and construction professionals
Maintenance and project engineers
Occupational health practitioners
Anyone interested in industrial hygiene, ergonomics, and incident management


Materials Data Sciences and Informatics

This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science. Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. A particular emphasis is placed on materials exhibiting hierarchical internal structures spanning multiple length/structure scales and the impediments involved in establishing invertible process-structure-property (PSP) linkages for these materials. More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges.


The Origins course tracks the origin of all things – from the Big Bang to the origin of the Solar System and the Earth. The course follows the evolution of life on our planet through deep geological time to present life forms.

Origins - Formation of the Universe, Solar System, Earth and Life

Henning Haack
James Connelly
Vivi Vajda
Jon Fjeldså
Thomas Gilbert
Michael Houmark-Nielsen
Bent Erik Kramer Lindow
Gilles Guy Roger Cuny
Ole Seberg
Gitte Petersen
Tais Wittchen Dahl
Arne Thorshøj Nielsen
Martin Vinther Sørensen
Svend Stouge
Danny Eibye Jacobsen
Jan Audun Rasmussen
Emily Catherine Pope


Unlock Your Potential in Environmental Project Management.

Are you ready to excel in leading complex environmental projects and drive sustainable outcomes? This course is designed to equip you with cutting-edge adaptive management practices and leadership skills essential for navigating distributed environments and tackling intricate environmental challenges.

Empowering Team Members and Stakeholders

Through this course, you will learn how to empower team members closest to the work by fostering decision-making and ownership, ensuring every stakeholder plays a vital role in co-producing sustainable solutions. You will explore strategies to build and facilitate great partnerships, from assembling high-performing teams to establishing motivation, framing purpose, and creating psychological safety that amplifies collaboration and mitigates risks during project execution.

Adaptive Management Across Environmental Sectors

Whether your focus is on climate change, ecological systems, biodiversity, land management, international development, natural resource management, water resources, or wetland protection, adaptive management and stakeholder engagement are central to achieving impactful results. This course emphasizes trust-building across diverse teams and provides actionable insights into implementing interventions and iterative feedback loops to align efforts and achieve shared goals.

Strategic Management Frameworks

You will gain expertise in establishing clear management processes and strategic execution frameworks that enhance decision-making at all levels. Learn how to apply management strategies such as Objectives and Key Results (OKRs), agile team design, and adaptive execution frameworks to coordinate efforts effectively without dictating direction. These approaches foster feedback, strengthen partnerships, and encourage participatory adaptive management.

Real-World Case Studies

The course culminates with an in-depth case study on the Chesapeake Bay watershed and sustainability. Dive into real-world examples of adaptive management in action, including the Chesapeake fisheries, to understand water quality, regulatory impacts, and the success of active adaptive management. These lessons will empower you to model adaptive management practices for your own environmental projects, influencing future management, fostering healthy ecosystems, and driving sustainability.

Join the Journey to Leadership in environmental project management and make a lasting impact on the world.

Co-Production in Adaptive Environmental Management


This course is devoted to beginners and practitioners of Big Data and AI fields. It will be a quick overview of some basic concepts that could be further elaborated by professionals. Ranging from CAP theorem to Turing assumption, we will provide a starting guide for diving in these fascinating topics.

A quick tour on Big Data and Business Intelligence


Renewable energy is one of the fastest growing industries on the planet, with billions of dollars invested each year to meet international energy sustainability goals. This course will provide you with a solid foundation for understanding and deploying important renewable energy technologies such as wind and solar.  In addition, you will come away with a good understanding of important energy storage technologies such as pumped hydro, batteries, and hydrogen.

Upon completing the course, you will be conversant with the opportunities and challenges of renewable energy technologies.  You will be comfortable participating in debates and making decisions regarding these technologies. And the knowledge you gain will be foundational for further study of renewable power systems, renewable energy projects, and forecasts for the future of renewable energy.  We hope you will join us on our journey!

This course is the first in a four-course Coursera specialization in Renewable Energy.
•	Renewable Energy Technology Fundamentals
•	Renewable Power & Electricity Systems
•	Renewable Energy Projects
•	Renewable Energy Futures

Course logo image credit: "Wind Turbine" icon courtesy of Vectors Point from the Noun Project.


General Biology

Build a strong foundation in biological sciences—from molecular mechanisms to complex physiological systems. This course covers essential concepts in cell biology, genetics, and human anatomy, providing practical frameworks to explore life processes through scientific inquiry and experimentation.

Learn to apply the scientific method, understand cellular structures and energy transformations, and master genetic principles from Mendelian inheritance to epigenetics. Explore biotechnology applications such as recombinant DNA, genetic engineering, and cloning that drive modern medicine and research. Study human systems—circulatory, respiratory, digestive, nervous, endocrine, immune, and reproductive—to see how they maintain homeostasis and adapt to change.

Gain expertise in cell division, cancer biology, and immune defenses. Whether you aim for a career in medicine, health sciences, biotechnology, or research, this course equips you with the biological knowledge and analytical skills needed to understand and solve challenges at molecular, cellular, and organismal levels.

Birla Institute of Technology & Science, Pilani


Welcome to Climate Resilience and Urban Sustainability, the first course in the Building Sustainable Cities Specialization. By completing Climate Resilience and Urban Sustainability, you will gain the ability to apply a comprehensive toolkit of case studies to address urban resilience and sustainability. You  will be empowered to create and advocate for policy, technological, and other changes aimed at improving these outcomes within their communities. You will also develop the skills to analyze and understand the origins, causes, and consequences of current sustainability and resilience challenges.

You will benefit from a deeper understanding of the challenges cities face today, particularly in the context of global climate change and social equity. The course provides insights into the history of land use and urban development in the United States, highlighting the rise of automobile dependence and the impact of fossil fuels. It also explores the policies and politics that contribute to unsustainable development patterns.

What makes this course unique is its focus on practical application. Through quizzes and real-world examples, you will engage with topics such as urban heat, flood risk, and climate costs, gaining the knowledge needed to identify and address these issues in your own community. The course also covers innovative planning frameworks like New Urbanism and Smart Growth, offering you a forward-thinking approach to urban development.


In the trades, your technical skill is only half of the equation; the way you present yourself often dictates how much a customer trusts your work before you even pick up a tool. This course is designed to help tradespeople bridge the gap between technical expertise and professional presentation. You will explore why a polished image is a critical asset for building long-term success in the field.

By completing this course, you will learn to leverage your image as a tool for career growth, ensuring that your first impression is as solid as your craftsmanship. You'll gain a competitive edge by mastering the soft skills that turn one-time service calls into lifelong client relationships.

Maintaining a Professional Image in Trades


This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree.

This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies.

At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services.  Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance.

Specific objectives include:
●	Rate monotonic theory (complete math models)
●	Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies
●	Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux)
●	Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice
●	Timing diagram generation and analysis using Cheddar

This course includes specific hardware and software requirements. Please review the FAQ below for complete details.

Real-Time Embedded Systems Theory and Analysis


The online course Digitalisation in Aerospace aims at making you aware of special production requirements connected with digitalisation. You will learn about the role of robotics and automation in manufacturing and gain a better understanding of differing perspectives on research and manufacturing as well as the points where these intersect.

Digitalisation in the Aerospace Industry


Batteries and Electric Vehicles

Batteries and Electric Vehicles: This course will focus on aspects of battery performance in zero emission vehicles, EV charger networks and second life applications of EV batteries, and standards and regulatory requirements.


Materials in Oral Health

The drive for development of new and novel oral biomaterials has never been more important with many people using oral biomaterials today and seeing their benefits in restoring and improving their oral health for a more enjoyable lifestyle. The unique properties of biomaterials such as titanium (Ti), zirconia (ZrO2) and various polymeric materials have made them materials of choice in oral health: dental implants, oral and maxillofacial surgery, and even regenerative medicine. Oral biomaterials research today is an exciting and intensive multidisciplinary area that encompasses contributions from a wide range of fields from professional dentistry to biology, chemistry, physics, material science, and engineering.

Materials in Oral Health is a FREE 4-week course open to all interested learners. In the course, you will learn about the special properties and benefits of biomaterials including, titanium and titanium alloys, zirconia and other alloys, ceramics, and modern composites. You will gain insights of the practical use of these biomaterials in different aspects of dentistry and clinical implications. You will realize how contemporary dentistry is about unifying synthetic materials to living tooth and bone tissues. You will get in touch with the crucial roles of digital dentistry and learn about CAD/CAM technology in crown fabrication, 3D printing and digital orthodontics. And lastly, you will be introduced to procedures and testing methods used to test significant mechanical properties of biomaterials in the research laboratory.

We cordially invite those of you who wish to make a difference in tomorrow’s dental materials and oral health development to join us in the 4-week journey in Materials in Oral Health.

You can get recognition for completion of the course by obtaining a Course Certificate. You can refer to details on: https://learner.coursera.help/hc/en-us/articles/208280196

Jukka Pekka Matinlinna
James Kit Hon Tsoi


Calculus for Engineers

This course offers a streamlined approach to university-level calculus, tailored for engineers and scientists. We begin with a review of precalculus in the first module, followed by derivatives and integrals in the second and third modules. The fourth module introduces Taylor series, while the fifth and sixth modules cover important applications of calculus.

The course features 59 concise lecture videos, each accompanied by practice problems. After each major topic, you will find a short practice quiz to reinforce your understanding. Solutions to problems and practice quizzes are included in the instructor-provided lecture notes. At the end of each module, there is an assessed quiz to evaluate your progress. Score over 80% on these quizzes to earn a course certificate.

Download the lecture notes:
https://www.math.hkust.edu.hk/~machas/calculus-for-engineers.pdf

Watch the promotional video:
https://youtu.be/mDuHJos21wo

The Hong Kong University of Science and Technology


What is  fluid-solid interactions  ?  It is what happens when the  motions of a fluid and of a solid are somehow coupled. This happens  all the time,  around you when leaves flutter in the wind,  inside you when your heart beats, above you when wings of a plane vibrate, under the sea... The idea behind this MOOC  is to give you the basic tools to  be able to predict and eventually mitigate   things called  flutter, galloping, sloshing, vortex-induced vibrations, added mass,  to cite a few.

We are going to consider  any  possible domains of applications  such as civil engineering,  aerospace engineering, nuclear engineering , ocean engineering, biomechanics and even food  processing !

This is why we  called the course “Fundamentals of Fluid Solid Interactions ”. There are so many phenomena and so many models  that  we   need to work together on the basic mechanisms .

If  you want to see how fluid-solid interactions work,  and be able to use that knowledge, join us !

 A first session of the course was run in early 2016, with learners from over 100 countries. It is now  available with subtitles, in English and now in Chinese.

See the  video  at http://goo.gl/YKSMnD

Fundamentals of Fluid-Solid Interactions

Emmanuel de Langre
Xavier Amandolese
Olivier Doaré


Ders çok değişkenli fonksiyonlardaki iki derslik dizinin ikincisidir. Birinci ders türev ve entegral kavramlarını geliştirmekte ve bu konulardaki problemleri temel çözme yöntemlerini sunmaktadır. Bu ders, birinci derste geliştirilen temeller üzerine daha ileri konuları işlemekte ve daha kapsamlı uygulamalar ve çözümlü örnekler sunmaktadır. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır.

Bölümler
Bölüm 1: Multivar 1'in Özeti, Dairesel Koordinatlarda Entegraller
Bölüm 2: Türev Uygulamalarından Seçme Konular
Bölüm 3: Çok Değişkenle Zincirleme Türev ve Jakobiyan
Bölüm 4: Uzayda Yüzey ve Hacım Entegralleri
Bölüm 5: Düzlemde Akı Entegralleri
Bölüm 6: Düzlemde Green, Uzayda Stokes ve Green-Gauss Teoremleri
Bölüm 7: Stokes ve Green-Gauss Teoremleri ve Doğanın Korunum Yasaları
-----------
The course is the second of the two course sequence of calculus of multivariable functions. The first course develops the concepts of derivatives and integrals of functions of several variables, and the basic tools for doing the relevant calculations. This course builds on the foundations of the first course and introduces more advanced topics along with more advanced applications and solved problems. The course is designed with a “content-based” approach, i. e. by solving examples, as many as possible from real life situations.

Bölümler
Bölüm 1: Summary of Multivar I, Integral in Circular Coordinates
Bölüm 2: Topics of Derivative Applications
Bölüm 3: Chain Derivatives with Multi Variables and Jacobian
Bölüm 4: Surface and Volume Integrals in Space
Bölüm 5: Flux Integrals in the Plane
Bölüm 6: Green in Plane, Stokes in Space and Green-Gauss Theorems
Bölüm 7:  Stokes and Green-Gauss Theorem and Nature Conservation Laws
-----------
Kaynak: Attila Aşkar, “Çok değişkenli fonksiyonlarda türev ve entegral”. Bu kitap dört ciltlik dizinin ikinci cildidir. Dizinin diğer kitapları Cilt 1 “Tek değişkenli fonksiyonlarda türev ve entegral”, Cilt 3: “Doğrusal cebir” ve Cilt 4: “Diferansiyel denklemler” dir.

Source: Attila Aşkar, Calculus of Multivariable Functions, Volume 2 of the set of Vol1: Calculus of Single Variable Functions, Volume 3: Linear Algebra and Volume 4: Differential Equations. All available online starting on January 6, 2014

Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications


Linear Regression

This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless.

This course is part of the Performance Based Admission courses for the Data Science program.

This course will focus on getting you acquainted with the basic ideas behind regression, it provides you with an overview of the basic techniques in regression such as simple and multiple linear regression, and the use of categorical variables.

Software Requirements: R

Upon successful completion of this course, you will be able to:

- Describe the assumptions of the linear regression models.
- Compute the least squares estimators using R.
- Describe the properties of the least squares estimators.
- Use R to fit a linear regression model to a given data set.
- Interpret and draw conclusions on the linear regression model.
- Use R to perform statistical inference based on the regression models.


Welcome to Asymmetric Cryptography and Key Management!

In asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic.

This course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.


This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.

Machine Learning for Engineers: Algorithms and Applications


Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives.

This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program.

Logo courtesy of  ThisisEngineering RAEng on Unsplash.com

Integral Calculus and Numerical Analysis for Data Science


Mathematics for Computer Science

Mathematics for Computer Science course is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics.

If you wish to take it further you can join the University of London's  BSc Computer Science degree and complete the full module ‘Numerical Mathematics’.

Enjoy!

University of London
Goldsmiths, University of London

Omar Karakchi
Professor Matthew Yee-King


Logic and Reasoning for Computing

Logic forms the backbone of computer science, providing the language and methods for precise reasoning, rigorous analysis, and formal proof. Logic and Reasoning for Computing equips learners with essential tools to represent statements, analyse arguments, and verify correctness. Across four modules—Propositional Logic, Predicate Logic, Boolean Algebra, and Proof Techniques—you will build a solid foundation in formal reasoning and connect abstract concepts directly to computing practice. You’ll explore truth tables, quantifiers, Boolean operations, and methods of proof, applying them to areas such as programming, digital circuits, and algorithm verification. By the end of this course, you’ll not only be able to reason critically and communicate arguments clearly, but also have the confidence to apply logical structures to both theoretical and practical problems in computer science.


Graphs and Networks

Master the mathematical and computational foundations of graph theory and network analysis in this comprehensive course for problem-solvers and analytical thinkers. Explore how graphs model real-world systems—such as social networks, transportation grids, communication systems, and biological pathways. Begin with core concepts like graph properties, connectivity, and planarity, then advance to topics like graph coloring, matching algorithms, network flows, and optimization. Learn to design efficient algorithms, analyze centrality measures, compute maximum flows, and solve minimal cost flow problems. Through mathematical rigor and practical application, you’ll develop both theoretical insight and hands-on problem-solving skills. Applications span scheduling, frequency assignment, image processing, artificial intelligence, and machine learning. Ideal for aspiring researchers, data scientists, and network engineers, this course equips you with essential tools to analyze, optimize, and visualize interconnected systems across diverse domains.


This course will guide you through the essential principles of algorithms and their significance in computational problem-solving. You'll begin by exploring what an algorithm is, its core characteristics, and how it applies to real-world scenarios—from simple everyday tasks to complex computing challenges. As you progress, you will learn about the critical role algorithms play in improving efficiency and scalability across various fields. We’ll break down key concepts such as algorithmic complexity, helping you evaluate the efficiency of different approaches, which will ultimately guide your decision-making.

Data Structures & Algos: Software Development Skills


Introduction to Complex Analysis

This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geometry of complex numbers, and then we will make our way via differentiation, integration, complex dynamics, power series representation and Laurent series into territories at the edge of what is known today. Each module consists of five video lectures with embedded quizzes, followed by an electronically graded homework assignment.  Additionally, modules 1, 3, and 5 also contain a peer assessment.

The homework assignments will require time to think through and practice the concepts discussed in the lectures. In fact, a significant amount of your learning will happen while completing the homework assignments. These assignments are not meant to be completed quickly; rather you'll need paper and pen with you to work through the questions. In total, we expect that the course will take 6-12 hours of work per module, depending on your background.


Bases Matemáticas: Derivadas

Este curso ofrece una revisión fundamental del cálculo diferencial, centrada en funciones y derivadas, con ejemplos y aplicaciones prácticas. Nuestro propósito es ofrecer una base sólida sobre funciones y derivadas, junto con sus aplicaciones, que sirva como refuerzo y acompañamiento académico para el estudiante. Está pensado como apoyo académico para estudiantes de ingeniería y grados con matemáticas.


The Automated Reasoning: Symbolic Model Checking course presents how the properties of acting systems and programs can be verified automatically. The basic notion is a transition system: any system that can be described by states and steps. We present how in CTL (computation tree logic) properties like reach-ability can be described.

Typically, a state space may be very large. One way to deal with this is symbolic model checking: a way in which sets of states are represented symbolically. A fruitful way to do so is by representing sets of states by BDDs (binary decision diagrams).
Definitions and basic properties of BDDs are presented in this course, and the algorithms to compute them, as needed for doing CTL model checking.


Statistical Methods

Build your statistics and probability expertise with this short course from the University of Leeds.

The first week introduces you to statistics as the art and science of learning from data. Through multiple real-life examples, you will explore the differences between data and information, discovering the necessity of statistical models for obtaining objective and reliable inferences. You will consider the meaning of "unbiased" data collection, reflecting on the role of randomization. Exploring various examples of data misrepresentation, misconception, or incompleteness will help develop your statistical intuition and good practice skills, including peer review.

In the second week, you will learn and practice R software skills in RStudio for exploratory data analysis, creating graphical and numerical summaries. The final week will involve completing probability experiments and computer simulations of binomial trials, such as tossing a coin or rolling a die. This will help you develop an intuitive concept of probability, encompassing both frequentist and subjective perspectives. Throughout the course, you will acquire vital statistical skills by practicing techniques and software commands and engaging in discussions with fellow students.

By the end of the course, you will be able to:

- Understand and explain the role of statistical models in making inferences from data.
- Implement appropriate tools for numerical and graphical summaries using RStudio, and interpret the results.
- Evaluate the stability of frequencies in computer simulations through experimental justification and "measurement" of probability.

No matter your current level of mathematical skill, you will find practical and real-life examples of statistics in action within this course.

This course is a taster of the Online MSc in Data Science (Statistics) but it can be completed by learners who want an introduction to programming and explore the basics of Python.


Discrete Optimization aims to make good decisions when we have many possibilities to choose from. Its applications are ubiquitous throughout our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet.  The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions on the use of scarce or expensive resources such as staffing and material resources also allow corporations to improve their profit by millions of dollars.  Similar problems also underpin much of our daily lives and are part of determining daily delivery routes for packages, making school timetables, and delivering power to our homes. Despite their fundamental importance, these problems are a nightmare to solve using traditional undergraduate computer science methods.

This course is intended for students who have completed Advanced Modelling for Discrete Optimization.  In this course, you will extend your understanding of how to solve challenging discrete optimization problems by learning more about the solving technologies that are used to solve them, and how a high-level model (written in MiniZinc) is transformed into a form that is executable by these underlying solvers. By better understanding the actual solving technology, you will both improve your modeling capabilities, and be able to choose the most appropriate solving technology to use.

Watch the course promotional video here: https://www.youtube.com/watch?v=-EiRsK-Rm08

Solving Algorithms for Discrete Optimization

Prof. Jimmy Ho Man Lee
Prof. Peter J Stuckey


Interest Rate Models

This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives. We will also cover the industry standard Black and Bachelier formulas for pricing caps, floors, and swaptions.

At the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives.


Spacecraft relative motion control has many applications including rendezvous and docking, circumnavigation, on orbit assembly, servicing, etc.  The course Spacecraft Relative Motion Kinematics and Kinetics covers the fundamentals of describing the motion of one spacecraft as seen by another spacecraft.  A range of relative coordinates are investigated.  Further, the course covers developing the differential equations of motion of the relative motion and considers a range of assumptions on separation distances.  Finally, the impact of the J2 perturbation on the relative motion is studied.

After this course, you will be able to...

* Describe relative motion using rectilinear or curvilinear Hill frame coordinates, using relative orbit elements, as well as using differential orbit elements.
* Develop the differential equations of relative motion for both near circular and highly elliptical chief motions
* Predict the impact of perturbations on the relative motion
* Understand how to setup relative orbits that remain bounded to the chief.

Please note: this is an advanced course, best suited for working engineers or students with college-level knowledge in mathematics and physics.

The material covered is taking from the book  "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.

Best completed in 8 weeks, with a commitment of between 4 and 8 hours of work per week.


Operations Research (3): Theory

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc.
The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR.
As the third part of the series, we study mathematical properties of linear programs, integer programs, and nonlinear programs. We also introduce applications of these theoretical properties: How they help us develop better ways to solve mathematical programs.


Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios.

Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional.

El curso se aborda en dos fases a través de las cuales el alumno:

- Aprenderá a aplicar el cálculo diferencial e integral para interpretar y modelar la cinemática de una partícula en una dimensión,
- Aprenderá el manejo de cantidades físicas vectoriales en forma gráfica y analítica en dos y tres dimensiones.

9 semanas de estudio, 4-5 horas por semana

Conceptos y Herramientas para la Física Universitaria

Dr. Genaro Zavala Enríquez
Ing. Rodolfo Fernández de Lara Hadad
Ing. José Rodrigo  Salmón Folgueras


This course explores the analysis and design of beam bending problems.
Prerequisite Knowledge: You will need to have successfully completed my earlier course “Mechanics of Materials I:  Fundamentals of Stress and Strain and Axial Loading” in order to be successful in this course

-------------------------------------------------
The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license.

5 weeks of material; 5 to 7 hours per week work for students

Mechanics of Materials III: Beam Bending


Para el éxito de la empresa y su maximización de valor, es necesario que el gerente o directivo comprenda de forma clara cuáles son los resultados financieros que implican sus decisiones; para ello, debe contar con un sólido conocimiento de las finanzas empresariales básicas, para tomar las mejores decisiones, que representen mayor rentabilidad y maximización del valor de la empresa. Las finanzas empresariales o corporativas, implican el análisis de los estados financieros de la empresa, es decir, los estados donde se registra, organiza y sistematiza la información contable y financiera de la empresa. En los estados financieros se encuentran plasmadas las principales decisiones financieras de la empresa: las de inversión, financiamiento y política de dividendos; el análisis de los estados financieros implica evaluar si dichas decisiones están orientadas a optimizar el desempeño de la empresa. Además, dado sus limitaciones de recursos, las empresas acuden a los mercados financieros en busca de financiamiento para sus proyectos, para invertir y alcanzar su potencial de crecimiento.

Este curso está desarrollo para que el participante cuente con un sólido conocimiento de las finanzas empresariales básicas y pueda tomar las mejores decisiones, que signifiquen la mayor rentabilidad y maximización del valor de la empresa.

Principios de Análisis e Instrumento Financieros

Ricardo Christian Morales Pelagio
Joel Álvarez Bautista


DFSS for the 6 σ Black Belt

This course is designed for professionals interested in learning the principles of  Lean Sigma, the DMAIC process and DFSS. This course is number 8 of 8 in this specialization dealing with topics in Design for Six Sigma

Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing.

Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed  project completion regiment.


Niçin bu ders: Kalkülüse Hazırlık (Precalculus)?
Tek değişkenli fonksiyonları tanımak bu dersin konusu. Hemen her üniversite programında bir diferansiyel ve entegral hesap dersi var. Bu ders, çok önemli olmasına karşın, dünyada en az sevilen derslerden birisi de bu ders. Kimse dersin önemini inkâr etmiyor, ama ders hem öğrenci açısından hem de öğreticiler açısından sevimsiz bir deneyime dönüşüyor.
Bu dersin amacı: fonksiyonları tanıtmak. Niçin?
Matematik bir dil. Sözel dillerde kelimeleri dilbilgisi kurallarıyla birleştirilerek gözlemleri ve düşünceleri oluşturuyoruz. Matematikte de benzer olarak, dilbilgisinin görevini birbiriyle çelişmeyen kabuller (aksiyomlar / postulatlar), kelimelerin görevini de işlemleri tanımlayan işaretler ve fonksiyonlar sağlıyor. Sözel dillerde en az binlerce kelime gerekirken, matematikte sadece onlarca “kelime” yani fonksiyon yeterli oluyor. Bu açıdan bakınca matematik sözel dillerden daha kolay olmalı...
İşte bu nedenle, matematiğin kelimelerini, yani fonksiyonları tanımak çok önemli. Bu dersin amacı temel fonksiyonları tanıtmak. Bu fonksiyonları iyi bilmeyenler, matematik dilinde ilerlemekte, özel olarak da kalkülüste başarılı olamıyorlar.

Why this course: Precalculus?
Single variable functions are an introduction to calculus. Almost every university program has a course on differential and integral calculus. Although this course is very important, it is also one of the least popular courses in the world. No one denies the importance of the course, but it is not successful both for the students nor for the instructors. As a result, the lesson turns into an unpleasant experience for both the students and the instructors.
The aim of this course is to introduce functions. Why?
Mathematics is a language. In verbal languages, we combine words with grammatical rules to form observations and thoughts. In mathematics too, the task of grammar is to provide non-contradictory assumptions (axioms/postulates), and the task of words is provided by signs and functions that describe operations. While thousands of words are required in verbal languages, only dozens of "words" i. e. functions are sufficient in mathematics. From this point of view, mathematics should be easier than verbal languages.
For this reason, it is very important to recognize the functions that make up the words of mathematics. The aim of this course is to introduce the basic functions.

KALKÜLÜS I: HAZIRLIK VE ALTYAPI / CALCULUS I: PRECALCULUS


Number Theory and Cryptography

A prominent expert in the number theory Godfrey Hardy described it in the beginning of 20th century as one of the most obviously useless branches of Pure Mathematics”. Just 30 years after his death, an algorithm for encryption of secret messages was developed using achievements of number theory. It was called RSA after the names of its authors, and its implementation is probably the most frequently used computer program in the world nowadays. Without it, nobody would be able to make secure payments over the internet, or even log in securely to e-mail and other personal services. In this course we will start with the basics of the number theory and get to cryptographic protocols based on it. By the end, you will be able to apply the basics of the number theory to encrypt and decrypt messages, and to break the code if one applies RSA carelessly. You will even pass a cryptographic quest!

As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.

Michael Levin
Alexander S. Kulikov
Michael Levin
Владимир Подольский


Introducción a la mecánica de suelos

Este curso sirve como una introducción a los principios básicos de la mecánica de suelos y su vinculación con la ingeniería. Los tópicos que se ven en el curso incluyen identificación y caracterización de suelos, y la evaluación de propiedades ingenieriles de estos materiales.

Pontificia Universidad Católica de Chile


Differential Equations and Applications

This course provides a comprehensive study of ordinary differential equations (ODEs), focusing on both theoretical concepts and solution techniques. It begins with the classification and solution of linear and non-linear first-order ODEs, followed by an in-depth exploration of second-order ODEs, including the concepts of linear dependence and independence of solutions. Various methods for solving second-order equations are introduced, such as the method of undetermined coefficients, variation of parameters, and reduction of order. The course also covers advanced techniques like the Laplace Transform for solving initial value problems and the application of Fourier series for representing periodic solutions. Sturm-Liouville problems are studied as a framework for solving boundary value problems and understanding eigenfunction expansions. Additionally, the course addresses the solution of systems of linear ODEs using matrix methods and eigenvalue analysis. This course equips students with the mathematical tools necessary to model and analyze real-world dynamic systems in science and engineering.


Matrix Algebra for Engineers

This course is all about matrices, and concisely covers the linear algebra that an engineer should know.   The mathematics in this course is presented at the level of an advanced high school student, but it is recommended that students take this course after completing a university-level single variable calculus course, such as the Coursera offering Calculus for Engineers.  There are no derivatives or integrals involved, but students are expected to have a basic level of mathematical maturity.  Despite this, anyone interested in learning the basics of matrix algebra is welcome to join.

The course consists of 38 concise lecture videos, each followed by a few problems to solve. After each major topic, there is a short practice quiz.  Solutions to the problems and practice quizzes can be found in the instructor-provided lecture notes.  The course spans four weeks, and at the end of each week, there is an assessed quiz.

Download the lecture notes from the link
https://www.math.hkust.edu.hk/~machas/matrix-algebra-for-engineers.pdf

And watch the promotional video from the link
https://youtu.be/IZcyZHomFQc


Master the foundational principles of differential calculus and unlock analytical capabilities essential for data science, engineering, and advanced mathematics. This course provides comprehensive training in derivative calculations, optimization techniques, and real-world problem-solving applications. Through systematic exploration of differentiation rules, implicit differentiation, and critical point analysis, you will develop robust mathematical reasoning skills applicable across scientific and business domains. Learn to model dynamic systems, analyze rates of change, and apply calculus techniques to solve complex optimization challenges. Whether advancing in quantitative fields or building analytical foundations for graduate studies, this course equips you with rigorous mathematical frameworks and practical computational skills to excel in data-driven decision-making and technical problem-solving.

Differential Equations & Advanced Applications


Generative AI Part 1

Introduces the theoretical foundations and advanced concepts of neural networks, generative models, transformers, and large language models. Students will explore how these AI systems create new data, process information, and learn through feedback, while analyzing their applications across various fields. The course emphasizes key principles in model building, optimization, and real-world generative AI use cases.


Applied Mathematics in Bioengineering

Covers and emphasizes practical applications of linear algebra, statistics, complex analysis, and signal processing in bioengineering. Students develop fluency with matrix decompositions, statistical inference and curve fitting, complex-number representations of signals, linear time-invariant systems, and Fourier analysis, and apply these tools to representative biomedical problems.


Electrodynamics: An Introduction

The depth and breadth of electromagnetism, the foundation for many fields including materials science, electrical engineering, and physical chemistry, requires a long, steep, and steady learning curve. This course aims to bridge the gap between the fundamental principles taught in electromagnetism and its practical application to specific fields such as materials, physics, and chemistry related to energy storage and harvesting.

The goal of Electrodynamics: An Introduction is to not only teach electromagnetism but also introduce some mathematical tools which can be used to solve problems in the subject.  Within these lecture notes, we review vector calculus and explain how to use fields to visualize the topics we cover.  This course is dynamic, as the lectures continuously build on previous notes and a variety of explanations are presented for each solution.  Since this is a lower level course, we will focus on the simple concept of electrostatics.  This has applications in exploring intermolecular forces, and qualities of capacitors.  Through this, we relate electromagnetism to more conventionally studied topics and its application to specific research topics related to energy storage and harvesting.

Korea Advanced Institute of Science and Technology(KAIST)


Delivery Problem

In this online course we’ll implement (in Python) together efficient programs for a problem needed by delivery companies all over the world millions times per day — the travelling salesman problem. The goal in this problem is to visit all the given places as quickly as possible. How to find an optimal solution to this problem quickly? We still don’t have provably efficient algorithms for this difficult computational problem and this is the essence of the P versus NP problem, the most important open question in Computer Science. Still, we’ll implement several solutions for real world instances of the travelling salesman problem.

While designing these solutions, we will rely heavily on the material learned in the courses of the specialization: proof techniques, combinatorics, probability, graph theory. We’ll see several examples of using discrete mathematics ideas to get more and more efficient solutions.

Alexander S. Kulikov
Владимир Подольский


Este curso proporciona una preparación matemática fundamental para los primeros niveles de estudios en ingeniería y otros grados que incluyen asignaturas de matemáticas. A lo largo de su desarrollo, revisaremos de forma estructurada los conceptos esenciales de la teoría de conjuntos, comprendiendo su importancia como lenguaje formal de las matemáticas y herramienta de clasificación y análisis.

Además, abordaremos la terminología básica utilizada en el razonamiento matemático y exploraremos las propiedades clave de los números reales y complejos, entendiendo cómo se construyen, cómo se relacionan entre sí y cuál es su utilidad dentro de los modelos matemáticos. Esta formación básica permitirá al estudiante adquirir la base conceptual necesaria para afrontar con solvencia cursos posteriores donde se aplican estos principios.

Bases Matemáticas: Números y terminología

Antonio José Guirao Sánchez
Santiago Moll Lopez


Honors Algebra 2: Polynomials and Complex Numbers

By the end of this course, learners will be able to analyze, graph, and transform polynomial functions, apply techniques such as factoring, division, and the Remainder and Factor Theorems to solve higher-order equations, and use the Fundamental Theorem of Algebra to understand the complete set of polynomial solutions. They will also develop fluency with complex numbers, performing arithmetic operations, representing them in both algebraic and geometric forms, and applying them to solve equations that have no real solutions.

As the second course in the three-part Honors Algebra 2 specialization, this class moves beyond routine algebraic skills to build deep mathematical reasoning. Students will see how polynomials and complex numbers provide the foundation for modern algebra, engineering, and physics, while practicing advanced problem-solving strategies that encourage both precision and creativity.

What makes this course unique is its balance of rigor and accessibility. Learners progress through challenging concepts with step-by-step guidance, visual explanations, and real-world applications that demonstrate why these topics matter. Completing this course prepares students not only to excel in advanced high school mathematics but also to transition confidently into college-level coursework.


By the end of this course, you will be able to design a personalized creative workflow, identify and work with your strengths and weaknesses, reduce procrastination and overwhelm, and confidently move projects from idea to completion.

Taught by Art Director, creative educator, and mental health advocate Sarah Edwards, Defeat Procrastination: Design Your Own Personalized Creative Workflow helps you stop forcing productivity systems that don’t fit—and start building a process that works for you. This course is structured in three parts, guiding you from understanding the power of process, to designing your workflow framework, to practicing discipline, grace, and sustainable success.

You’ll learn how to break free from common productivity myths, brainstorm more effectively, manage ideas without mental overload, and become your own project manager. Through guided exercises and a 35+ page workbook, you’ll uncover your creative “superpowers” and “kryptonites,” integrate mental health into planning, and build systems that support real-life creativity—not burnout.

This course is for anyone who considers themselves creative, from professionals to parents and hobbyists. No prior productivity or design experience is required—just curiosity, self-awareness, and a willingness to try a new approach to getting things done.

Defeat Procrastination: Design Your Own Creative Workflow


史記 (Shi Ji)

人文學，其特色在於「慢熱」，需要耐心細嚐、咀嚼古聖先賢的智慧結晶與其文字背後所隱含的真正意義。史記系列課程將透過對《史記》一書的導讀，引領同學們探究史學之「真」與「善」。

不管你是對中華文化感興趣者、想更深入了解傳統史學者、喜歡論理分析者、或是久仰太史公司馬遷之名之愛好者，這門課一定會讓你收穫良多。因為《史記》不僅記載了無數精彩非凡的歷史人事，更貫串了在它之前的多數古代典籍，可說是集中國上古文明精粹於一書。更重要的是，這門課程中將引導大家如何讀《史記》，進而學會如何讀中國史書、如何讀中國書。

這是一場史學的思辨之旅，希望各位同學千萬不要錯過！


Storying the Self: Telling our Stories

Ask for and give constructive feedback on your work, and consider venues for sharing your stories as both a leader and creator. In leadership contexts, this translates to authentic purpose, vision, and values. You’ll engage with a creative assignment with the intention of creating and polishing a story from your life that can be shared, reflecting on how stories evolve over time, through different media, and through retellings for and with different audiences.


Pro Tools Basics

Producing music is an incredibly creative process, and knowing the tools of the trade is essential in order to transmit the musical ideas in your head into the DAW in a creative and uninhibited way.  Whether you have used a computer to create music before, or you have been curious about production for years, this 4-week course will give you an introductory look into the world of Avid Pro Tools and Pro Tools First.


This course will give you the cultural and historical background to begin your journey into Korean philosophy, and there is no prerequisite knowledge on philosophy required. Anybody who either has an interest in Korean culture, maybe through K-Dramas or K-pop, or an interest in philosophy from a cross-cultural perspective, are all welcome.

Despite the growing interest in Korean culture, there are few courses which explore the fascinating topic of Korean philosophy. On this course, you’ll be introduced to concepts in Korean philosophy through an exploration of the Korean language, culture and perspective.
The Korean cultural, social, and political environment has informed and transformed the intellectual assets of China and the West. You’ll explore the creative tensions that Koreans have experienced, and broaden your worldview as you discover a new philosophical approach.

Introduction to Korean Philosophy and Culture


In "Fandom, Community, and Identity in Popular Music," you will explore the intersections of fandom and popular culture using pop music as a framework. You will apply your skills of self-reflection and close reading/analysis to a few case studies of pop musicians and the ways in which their art inhabits and evolves in pop culture spaces. You will learn about what it means to be a music fan, and therefore to be a fan in general. Along the way, you’ll have the chance to express your creativity as a fan by making something to contribute back into your fandom. This project will ask you to apply your self-reflection and close reading frameworks, and will ground your studies of fandom and pop culture in your lived experience (both physical and virtual).

Course-Level Learning Outcomes

* Define and describe the dynamics of popular music and its relationship with fandom, popular culture, and digital media
* Apply critical self-reflection and close reading frameworks through analytical writing and creative expression
* Engage with pop culture and fandom communities by leveraging online platforms to make connections and synthesize learning
* Reflect on your personal relationship to popular music, popular art, and how popular culture intersects with memory and nostalgia

Course 2 Skills:
* Analysis
* Evaluation
* Critical Thinking
* Communication
* Creativity
* Close Reading


Current Issues in Ethics and AI

Artificial intelligence, particularly with the introduction of generative AI, is fundamentally impacting a huge spectrum of human experience. This ranges from the vast majority of jobs and professions to education, healthcare, media and entertainment, and much more.  These rapid advances have been accompanied by a huge array of fundamental and greatly impactful ethical challenges, including bias and inaccuracy in AI systems, where AI systems should and shouldn’t replace humans, and potential benefits and harms from various types of autonomous systems, and existential issues including the future of human work and the possibility of AI systems whose intelligence exceeds that of humans.

This course provides students with a broad exposure to the ethical issues arising from AI, along with the experience and ethical tools to analyze them.  It is intended to help students recognize and deal with these issues in their professional careers and their lives. It is based on a combination of current media articles and recent research papers, and is designed so that it can be kept current by refreshing the references it is based on.

This course can be taken for academic credit as part of CU Boulder’s Masters of Science in Computer Science (MS-CS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. This fully accredited graduate degree offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:

MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

MS in Artificial Intelligence: https://www.coursera.org/degrees/ms-artificial-intelligence-boulder


Multimedia Content Creation

Discover the core skills behind compelling digital content in our Multimedia Content Creation course—designed for both aspiring and experienced creators. In this course, you’ll learn how to create multimedia content that grabs attention, tells your story, and connects with audiences on any platform.

Throughout this course, you’ll gain hands-on experience in multimedia content creation, developing versatile skills you can apply to everything from social media posts and marketing campaigns to presentations and branded assets.

Whether you're designing for video, social graphics, or web layouts, this course emphasizes multimedia content flexibility, empowering you to craft content in various engaging formats.

By the end of the course, you’ll have the confidence and creative toolkit to deliver high-quality multimedia content that stands out in today’s digital landscape


本課程旨在解析《紅樓夢》中的重要空間場域——「大觀園」，故將從大觀園建造的原因、過程、整體規畫等依序層層深入解說，並從園中各處設計分析其與人物性格之間的聯繫。

又見大觀：《紅樓夢》中的烏托邦 (The Red Chamber Dream (3): Daguan Garden)


This course is your launchpad into the power of interdisciplinary thinking—a dynamic approach that transforms how you understand and engage with complex challenges. You will learn to actively draw from multiple disciplines, evaluate the unique strengths of different perspectives, and synthesize these insights to forge new, more comprehensive understandings. The result is the ability to generate integrated knowledge, pioneer alternative solutions, and develop novel approaches to the issues that matter.

Who is this for?

This course is designed for forward-thinking individuals ready to break down silos. It is ideal for:

    Professionals aiming to sharpen their critical thinking, enhance creative problem-solving, and master more effective communication strategies.

    Artists and Creatives seeking to bridge their practice with other disciplines, fueling innovation and discovering fresh, unexpected sources of inspiration.

Core Learning Domains:

The curriculum is built around three key areas of modern literacy:

    Visual Literacy: Decoding and creating meaning from images, design, and visual media.

    Audio Literacy: Developing a critical ear for sound, music, and the information conveyed through our auditory environment.

    Creative Multimodal Thinking: Combining visual, audio, and other sensory elements to communicate and ideate in innovative, impactful ways.

Interdisciplinarity in Thought and Practice