Here’s what you’re going to learn:
- Hard Skills Vs Soft Skills - What’s the Difference?
- Why Should You List Your Skills on a Resume?
- 8 Best Skills to Put on a Resume
- How to List Skills on a Resume
- 120+ Skills to Put on Your Resume (For 10+ Fields)
Search Constraints
Number of results to display per page
Results for:
Problem solving
Remove constraint Problem solving
« Previous |
1 - 50 of 105
|
Next »
Search Results
-
Others
Listing skills on your resume is fairly easy. Listing the right skills in the right way is a little bit trickier. Are you mentioning the right skills for the job, or are you boring the HR manager with irrelevant information? The hiring manager for the software development team couldn’t care less about your expertise in marketing. What they’re dying to know, though, is your skill level in Python and how you get along with the team. In this guide, we’re going to walk you through the process of putting skills on your resume from start to finish. We’ll explain how to identify the right skills and how to list them in a way that catches the hiring manager’s attention!
Here’s what you’re going to learn:
- Keywords:
- Applications for positions Job hunting Résumés (Employment)
- Resource Type:
- Others
-
Others
This CEO Report is about tapping into the psychological thought-processes of how great problem-solvers see, interpret and makes sense of being stuck with complexity and what they do (or fail to do) to progress. To uncover these underlying thinking patterns we administered a rigorous and systematic interview approach from clinical psychology called, Repertory Grid Technique (RGT). Our sample consists of fifty (50) seasoned CEOs /Executives spanning a wide range of industry sectors. Seven (7) inherent latent themes emerged from our analysis as to what are the core drivers (habits of mind) that help executives open up the alternatives whenever they find themselves stuck with complexity.
- Subjects:
- Management
- Keywords:
- Chief executive officers -- Psychology Problem solving
- Resource Type:
- Others
-
Video
Explore the technique known as the Socratic Method, which uses questions to examine a person’s values, principles, and beliefs.
- Keywords:
- Critical thinking Socrates Questioning
- Resource Type:
- Video
-
Video
Every day, a sea of decisions stretches before us, and it’s impossible to make a perfect choice every time. But there are many ways to improve our chances — and one particularly effective technique is critical thinking. Samantha Agoos describes a 5-step process that may help you with any number of problems.
- Keywords:
- Problem solving Critical thinking Decision making
- Resource Type:
- Video
-
MOOC
In today's business environment, organizations have identified critical thinking and problem-solving as skills that are integral to an employee's--and their organization's--success.
The most successful professionals can assess the environment, analyze a situation, design a solution, and ultimately win in a competitive scenario.
This course, part of the Leadership Essentials Professional Certificate program, will demystify, discuss, and provide application techniques for critical thinking and problem-solving in a business context. Learners will draw connections to their work experience by analyzing and critiquing case studies. Best practices for problem-solving will be discussed and illustrated including how to weigh alternative solutions, incorporate feedback from stakeholders, and how and when to start over.
- Keywords:
- Management Problem solving Critical thinking Decision making
- Resource Type:
- MOOC
-
MOOC
Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.
What kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.
- Keywords:
- Reasoning Problem solving Critical thinking Decision making
- Resource Type:
- MOOC
-
MOOC
In today’s workplace, professionals don’t work alone, and rarely work with just one other person. More often, we are required to work in groups to strategize, design solutions, ideate, motivate, manage, and execute. This course, part of the Leadership Essentials Professional Certificate program, complements business communication skills and expands those competencies to provide a foundation for decision-making, consensus-building, and problem-solving within a group environment.
In this course, learners will analyze and evaluate their own experiences of leading and participating in teams, and will relate them to industry examples.
Topics in the course also include:
Team formation and development
Building, leading, organizing, and motivating teams
Managing conflict in groups to build productive professional relationships
Collaboration among cross-functional teams
Interpersonal relationship dynamics in small groups
- Keywords:
- Interpersonal communication Teams in the workplace Business communication
- Resource Type:
- MOOC
-
MOOC
Recently revised and updated! Effective teamwork and group communication are essential for your professional and personal success. In this course you will learn to: make better decisions, be more creative and innovative, manage conflict and work with difficult group members, negotiate for preferred outcomes, improve group communication in virtual environments, develop a better overall understanding of human interaction, and work more effectively as a team. Our goal is to help you understand these important dynamics of group communication and learn how to put them into practice to improve your overall teamwork.
- Keywords:
- Interpersonal communication Project management Communication in small groups Group problem solving
- Resource Type:
- MOOC
-
Video
Design Thinking is a 5-step process to come up with meaningful ideas that solve real problems for a particular group of people. The process is taught in top design and business schools around the world. It has brought many businesses lots of happy customers and helped entrepreneurs from all around the world, to solve problems with innovative new solutions
- Keywords:
- Creative thinking Thought thinking Problem solving Creative ability
- Resource Type:
- Video
-
Video
Imagine you were asked to invent something new. It could be whatever you want, made from anything you choose, in any shape or size. That kind of creative freedom sounds so liberating, doesn’t it? Or ... does it? if you're like most people you’d probably be paralyzed by this task. Why? Brandon Rodriguez explains how creative constraints actually help drive discovery and innovation.
- Keywords:
- Creative ability Inventions Problem solving
- Resource Type:
- Video
-
MOOC
This course deals directly with your ability for creativity which is a critical skill in any field. It focuses on divergent thinking, the ability to develop multiple ideas and concepts to solve problems. Through a series of creativity building exercises, short lectures, and readings, learners develop both an understanding of creativity and increase their own ability.
This course will help you understand the role of creativity and innovation in your own work and in other disciplines. It will challenge you to move outside of your existing comfort zone and to recognize the value of that exploration. This course will help you understand the importance of diverse ideas, and to convey that understanding to others.
The principal learning activity in the course is a series of "differents" where you are challenged to identify and change your own cultural, habitual, and normal patterns of behavior. Beginning with a prompt, e.g. "eat something different", you will begin to recognize your own = limits and to overcome them. In addition, you are encouraged to understand that creativity is based on societal norms, and that by it's nature, it will differ from and be discouraged by society. In this course, the persistence of the creative person is developed through practice. At the same time, these exercises are constrained by concerns of safety, legality, and economics, which are addressed in their creative process.
- Keywords:
- Creative thinking Change Problem solving Critical thinking
- Resource Type:
- MOOC
-
Others
The Design Sprint Kit is an open-source resource for design leaders, product owners, developers or anyone who is learning about or running Design Sprints. Whether you are new to Design Sprints and gaining buy in for your first Sprint, or an experienced Sprint facilitator looking for new methods, this site will help you learn, plan, and contribute to the Design Sprint Methodology. The Design Sprint is a proven methodology for solving problems through designing, prototyping, and testing ideas with users. Design Sprints quickly align teams under a shared vision with clearly defined goals and deliverables. Ultimately, it is a tool for developing a hypothesis, prototyping an idea, and testing it rapidly with as little investment as possible in as real an environment as possible.
- Keywords:
- Design -- Psychological aspects Problem solving Creative ability in business
- Resource Type:
- Others
-
Video
EDC presents a series of showcases that share project deliverables and innovations in TEL, promoting sustainable and impactful practices that resonate across PolyU and beyond. Showcase One proudly presents two departmental interventions funded by PolyU’s Quality Incentive Scheme Stage 1, which promotes eLearning, Teaching and Assessment (eLTA) by grooming and rewarding outstanding performance:
APSS on the Move: Incubation of L&T Strategies before, during and beyond the Pandemic Era.
AAE: Using an online platform, Github, to shape and build the students' problem-solving and learning-to-learn abilities through a flip-class project teaching approach.
Event Date: 13/10/2022
Presenter(s): Chui, Eric; Chu, Rodney; Hsu, Li Ta
Facilitator: Harbutt, Darren
- Subjects:
- Lesson Design, Student Engagement, and Good Practices
- Keywords:
- Internet in education Educational technology Web-based instruction
- Resource Type:
- Video
-
MOOC
Gone are the days when Problem Solving and Decision Making often happened within the four walls of a top boss’s cabin. In the beginning of this century - As we blinked our eyes, the world changed, cabins broke down to give way to open offices, traditional management hierarchy collapsed and saw a horizontal spread. With delegation and authority batons being passed to the executive and trainee levels, Problem Solving and Decision Making skills became a must have quality at all levels in an organization. In simple words it is – have it or leave it.
That’s less said - Just learning the skill of solving problems and taking good decisions isn’t enough. Today, the modern workplace demands the new age executives and managers to expand their potential of creative thinking and bring it to the table while solving problems and making decisions. There is one more news for you, Creativity, Problem Solving and Decision Making skills are no more confined to the management and leadership levels, students who aspire for their dream jobs to be a reality, also will have to bring these skills along with their candidature.
That is why, we decided to offer this practical and highly researched course with all these 3 skills clubbed into 1 course so that you may not have to search anywhere - anymore.
If at any point of your life, you ever felt the need to work upon your creative thinking ability or your problem solving skills or even your decision making capability, look no further, this course is just the right one for you.
- Course related:
- SD5131 Interdisciplinary Project
- Keywords:
- Problem solving Creative thinking Critical thinking
- Resource Type:
- MOOC
-
Courseware
This course provides a thorough introduction to the principles and methods of physics for students who have good preparation in physics and mathematics. Emphasis is placed on problem solving and quantitative reasoning. This course covers Newtonian mechanics, special relativity, gravitation, thermodynamics, and waves.
- Course related:
- AP10005 Physics I
- Subjects:
- Physics
- Keywords:
- Physics
- Resource Type:
- Courseware
-
Courseware
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
- Course related:
- COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
- Subjects:
- Human-Computer Interaction and Computing
- Keywords:
- Computer programming Computer science Python (Computer program language) Artificial intelligence
- Resource Type:
- Courseware
-
Courseware
This course has been designed for independent study. It provides everything you will need to understand the concepts covered in the course. The materials include:
A complete set of Lecture Videos by Professor Gilbert Strang.
Summary Notes for all videos along with suggested readings in Prof. Strang’s textbook Linear Algebra.
Problem Solving Videos on every topic taught by an experienced MIT Recitation Instructor.
Problem Sets to do on your own with Solutions to check your answers against when you’re done.
A selection of Java® Demonstrations to illustrate key concepts.
A full set of Exams with Solutions, including review material to help you prepare.
- Course related:
- AMA1120 Basic Mathematics II
- Subjects:
- Mathematics and Statistics
- Keywords:
- Algebras Linear
- Resource Type:
- Courseware
-
Others
All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course
- Course related:
- COMP3421 Web Application Design and Development, LGT3109 Introduction to Coding for Business with Python, COMP3211 Software Engineering, and COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Web sites -- Design Web site development
- Resource Type:
- Others
-
Video
Before the advent of computers around 1950, optimization centered either on small-dimensional problems solved by looking at zeroes of first derivatives and signs of second derivatives, or on infinite-dimensional problems about curves and surfaces. In both cases, "variations" were employed to understand how a local solution might be characterized. Computers changed the picture by opening the possibility of solving large-scale problems involving inequalities, instead of only equations. Inequalities had to be recognized as important because the decisions to be optimized were constrained by the need to respect many upper or lower bounds on their feasibility. A new kind of mathematical analysis, beyond traditional calculus, had to be developed to address these needs. It built first on appealing to the convexity of sets and functions, but went on to amazingly broad and successful concepts of variational geometry, subgradients, subderivatives, and variational convergence beyond just that. This talk will explain these revolutionary developments and why there were essential.
Event date: 1/11/2022
Speaker: Prof. Terry Rockafellar (University of Washington)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex functions Convex sets Mathematical optimization Computer science -- Mathematics
- Resource Type:
- Video
-
Video
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first review some recent development for adaptive methods with some application. Then, we will propose a deep adaptive sampling method for solving PDEs where deep neural networks are utilized to approximate the solutions. In particular, we propose the failure informed PINNs (FI-PINNs), which can adaptively refine the training set with the goal of reducing the failure probability. Compared with the neural network approximation obtained with uniformly distributed collocation points, the proposed algorithms can significantly improve the accuracy, especially for low regularity and high-dimensional problems.
Event date: 18/10/2022
Speaker: Prof. Tao Tang (Beijing Normal University-Hong Kong Baptist University United International College)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Sampling (Statistics) Differential equations Partial -- Numerical solutions Mathematical models Adaptive computing systems
- Resource Type:
- Video
-
MOOC
Design thinking has become very popular recently. It is because many people believe that design thinking can help generate innovative solutions. Many business and non-business organizations are adopting it to resolving their problems. Even business schools and other disciplines include design thinking in their curriculum. Then, what is design thinking, really? And how can it benefit us?
Design thinking is commonly recognized as a problem-solving process that includes five stages - Empathize, Define, Ideate, Prototype and Test. However, when we compare the design thinking process with the conventional problem-solving process, there are no major differences, except the implementation part. Design thinking looks at problems with a holistic and human-centric perspective. It also tackles complex problems by using a non-linear approach. However, some people claim that considering design thinking as a problem-solving process is too simplistic.
Actually, design thinking should be considered as behaviors and attitudes when dealing with problems. Design thinkers use different thinking styles and attitudes when approaching problems. Design thinkers possess certain personal traits like human-centeredness, having a flexible and creative thinking style, being comfortable with subjective and intuitive judgement, and high self-efficacy. These thinking styles and attitudes help not only in problem-solving but also in finding opportunities. In order to be proficient in design thinking, we should not only understand the design Thinking process, but also have to make ourselves become a design thinker.
This MOOC provides you with core knowledge about design thinking and demystifies design thinking as a process for solving complex and wicked problems.
- Keywords:
- Creative ability Product design Critical thinking
- Resource Type:
- MOOC
-
MOOC
Operations management deals with operational planning and control issues, and is needed in all sectors of the society. One of the challenges to operations manager is how to make use of the available resources in the best way for meeting a certain objective. Quantitative approaches are inevitably needed in tackling many of such problems. Operations Research (OR) deals with problem formulation and application of analytical methods to assist in decision-making of operational problems in planning and control. The techniques of OR are useful quantitative tools to assist operations managers, and has a wide applicability in engineering, manufacturing, construction, financial and various service sectors. Operations Research is an applied mathematics subject and is also a course in many engineering and management programmes. This course is designed for both students learning OR and learners who are practitioners in their respective professionals. The mathematical procedures for the OR techniques are introduced in details in the examples provided in the course. This helps learners to master the methodology and the techniques and apply them to achieve their goals through active learning. This course introduces two prominent OR techniques and their extended topics. The Simplex Method for Linear Programming (LP) has been considered one of the top 10 algorithms of the 20th century. LP is an optimization technique for solving problems such as finding the optimal product mix, production plan, and shipment allocation, in order to maximize the profir or minimize the cost. The Critical Path Method (CPM) is a popular technique employed by project managers in scheduling project activities. Some extended topics of CPM are also introduced to deal with certain special situations in project management. In reality, many systems operate under stochastic environment and the operational problems cannot be solved by the known analytical methods. To this end, the simulation approach is introduced in the last chapter of this course. Simulation is a powerful technique for tackling OR problems under such situations.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Operations research
- Resource Type:
- MOOC
-
MOOC
This award-winning course aims to sharpen your competitive edge in work and life. It empowers you with positive values and practical problem-solving skills, including creative strategies for addressing challenges from COVID-19. Enriched with interesting animations, a new success story and breakthrough pedagogies, this updated version (2.5) effectively helps you master knowledge and skills requisite for a successful life.
- Keywords:
- Creative thinking Learning ability Critical thinking
- Resource Type:
- MOOC
-
Video
Convex Matrix Optimization (MOP) arises in a wide variety of applications. The last three decades have seen dramatic advances in the theory and practice of matrix optimization because of its extremely powerful modeling capability. In particular, semidefinite programming (SP) and its generalizations have been widely used to model problems in applications such as combinatorial and polynomial optimization, covariance matrix estimation, matrix completion and sensor network localization. The first part of the talk will describe the primal-dual interior-point methods (IPMs) implemented in SDPT3 for solving medium scale SP, followed by inexact IPMs (with linear systems solved by iterative solvers) for large scale SDP and discussions on their inherent limitations. The second part will present algorithmic advances for solving large scale SDP based on the proximal-point or augmented Lagrangian framework In particular, we describe the design and implementation of an augmented Lagrangian based method (called SDPNAL+) for solving SDP problems with large number of linear constraints. The last part of the talk will focus on recent advances on using a combination of local search methods and convex lifting to solve low-rank factorization models of SP problems.
Event date: 11/10/2022
Speaker: Prof. Kim-Chuan Toh (National University of Singapore)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Semidefinite programming
- Resource Type:
- Video
-
Video
Today's math curriculum is teaching students to expect -- and excel at -- paint-by-numbers classwork, robbing kids of a skill more important than solving problems: formulating them. Dan Meyer shows classroom-tested math exercises that prompt students to stop and think.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Mathematics -- Study teaching
- Resource Type:
- Video
-
Others
Being a critical and creative thinker is essential in today’s workplace. It’s also crucial to your career success, regardless of your field or your position. Employers are looking for employees who can creatively problem solve to find answers that are best for both employees and the company.
- Keywords:
- Critical thinking Creative thinking
- Resource Type:
- Others
-
Video
Often people make decisions that are not "rational" from a purely economical point of view — meaning that they don't necessarily lead to the best result. Why is that? Are we just bad at dealing with numbers and odds? Or is there a psychological mechanism behind it? Sara Garofalo explains heuristics, problem-solving approaches based on previous experience and intuition rather than analysis.
- Subjects:
- Psychology
- Keywords:
- Decision making
- Resource Type:
- Video
-
Video
Learners examine the meaning of theoretical yield, actual yield, and percent yield. They test their knowledge by solving two problems.
- Subjects:
- Chemistry
- Keywords:
- Chemical reactions
- Resource Type:
- Video
-
Others
In this interactive object, learners determine the limiting reagent and the excess reagent in chemical reactions. Learners test their knowledge by solving three problems.
- Subjects:
- Chemistry
- Keywords:
- Chemical processes Chemical reactions
- Resource Type:
- Others
-
Others
You'll understand how to use a run chart to describe a manufacturing problem.
- Subjects:
- Management
- Keywords:
- Process control Problem solving Production management
- Resource Type:
- Others
-
Others
Learners look through a telescope to see what a company chooses to focus on when making decisions about productivity, reducing waste, retraining, solving problems, and motivating employees.
- Subjects:
- Management
- Keywords:
- Organizational effectiveness Organizational change Production management Corporate culture
- Resource Type:
- Others
-
Others
The learner will understand how to use brainstorming and a decision matrix to find the best solution to a problem.
- Keywords:
- Problem solving
- Resource Type:
- Others
-
Others
Learners examine strategies for evaluating new ideas and accepting change. They consider a list of various reactions to change and a list of actions that enhance teamwork, and check those statements that apply to themselves.
- Keywords:
- Creative thinking Problem solving Critical thinking
- Resource Type:
- Others
-
Others
In this interactive object, learners examine the five problem-solving steps of Define, Measure, Analyze, Improve, and Control. Some of the most common measures and tools are listed for each step.
- Subjects:
- Management
- Keywords:
- Production management -- Quality control Process control Six sigma (Quality control stard)
- Resource Type:
- Others
-
Others
Students read how the Plan-Do-Check-Act Cycle is used in problem-solving and process improvement. In an interactive exercise, students organize process improvement steps following this model.
- Subjects:
- Management
- Keywords:
- Process control Industrial management
- Resource Type:
- Others
-
Others
The learner will explore the techniques used to identify cause-and-effect relationships of a particular problem.
- Subjects:
- Management
- Keywords:
- Root cause analysis Problem solving
- Resource Type:
- Others
-
Others
In this learning activity you'll be introduced to the cause and effect diagram.
- Subjects:
- Management
- Keywords:
- Root cause analysis Problem solving
- Resource Type:
- Others
-
Others
The learner will identify ways to overcome barriers to critical thinking and problem-solving including false memories, personal biases and prejudices, and physical and emotional hindrances.
- Keywords:
- Critical thinking Critical thinking -- Study teaching
- Resource Type:
- Others
-
Others
Continuous improvement programs are sprouting up all over as organizations strive to better themselves and gain an edge. The topic list is long and varied, and sometimes it seems as though a program a month is needed just to keep up. Unfortunately, failed programs far outnumber successes, and improvement rates remain distressingly low. Why? Because most companies have failed to grasp a basic truth. Continuous improvement requires a commitment to learning. How, after all, can an organization improve without first learning something new? Solving a problem, introducing a product, and reengineering a process all require seeing the world in a new light and acting accordingly. In the absence of learning, companies—and individuals—simply repeat old practices. Change remains cosmetic, and improvements are either fortuitous or short-lived.
- Course related:
- MM4311 Strategic Management
- Subjects:
- Management
- Keywords:
- Organizational learning
- Resource Type:
- Others
-
MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC
-
MOOC
Whether you are a university student trying to make sense of a difficult major course project or struggling to add value during your internship placement; or you are practicing manager struggling to find a resolution to a complex problem, issue or challenge, this course will guide you through a framework designed to help you open up the alternatives. Through this structured framework designed to help you better deal with your unstructured problems, you will learn BETTER, learn FASTER and learn MORE than you are used to. In essence, this short course will help you “HOW” to learn to (un)learn during knowledge transfer.
- Subjects:
- Management
- Keywords:
- Problem solving Dice games
- Resource Type:
- MOOC
-
e-book
"This course package is designed as an introduction to General and Applied Science. It satisfies the learning outcomes for British Columbia ABE Intermediate General and Applied Science, which is considered an equivalent to BC Science 10. This resource includes powerpoints, class notes, and laboratory manuals for each of three three modules: Chemistry, Biology, and Physics. Throughout these modules, students explore the scientific method, take part in peer discussions, try out their problem solving skills in classroom and laboratory settings, and learn required skills and knowledge to prepare them for the Grade 11 level of science. Quizzes and mini-finals are also available to instructors upon request."--BCcampus website.
- Subjects:
- Physics, Chemistry, and Biology
- Keywords:
- British Columbia Science -- Study teaching (Secondary)
- Resource Type:
- e-book
-
e-book
"Calculus arose as a tool for solving practical scientific problems through the centuries. However, it is often taught as a technical subject with rules and formulas (and occasionally theorems), devoid of its connection to applications. In this textbook, the applications form an important focal point, with emphasis on life sciences. This places the techniques and concepts into practical context, as well as motivating quantitative approaches to biology taught to undergraduates. While many of the examples have a biological flavour, the level of biology needed to understand those examples is kept at a minimum. The problems are motivated with enough detail to follow the assumptions, but are simplified for the purpose of pedagogy"--BC Campus website.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Life sciences Differential calculus Textbooks
- Resource Type:
- e-book
-
e-book
"A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports."--BC Campus website.
- Subjects:
- Computing and Mechanical Engineering
- Keywords:
- Textbooks Systems engineering
- Resource Type:
- e-book
-
Video
John Mill and the Greatest Happiness Principle -- A Comic Course Wanna watch the full version of the comic that explains the ideas of Mill and other philosophers? Join our free online course: https://www.edx.org/course/practical-thinking-skills-for-a-successful-life-2 You can also ask questions and discuss ideas with professional thinkers in the course forums for free!
- Course related:
- CBS1A22 Creativity and Creative Thinking.
- Subjects:
- Philosophy
- Keywords:
- Mill John Stuart 1806-1873 Happiness
- Resource Type:
- Video
-
Video
This video playlist covers the topic of: 1.Microeconomics with Calculus 2: Demand and Supply. 2. Microeconomics with Calculus 3: Elasticities. 3. Microeconomics with Calculus 4: Consumer Preferences. 4. Microeconomics with Calculus 5: The Consumer’s Problem. 5. Microeconomics with Calculus 6: Solving the Consumer’s Problem. 6. Microeconomics with Calculus 7. Deriving Demand Functions. 7. Microeconomics with Calculus 8: The Hicks Decomposition. 8. Microeconomics with Calculus 9: The Slutsky Equation. 9. Microeconomics with Calculus 10: Consumer Welfare Analysis. 10.Microeconomics with Calculus 11: Short-Run Production. 11.Microeconomics with Calculus 12: Long-Run Production. 12.Microeconomics with Calculus 13: Short-Run Costs. 13. Microeconomics with Calculus 14: Long-Run Costs.
- Course related:
- AF3620 Intermediate Microeconomics
- Subjects:
- Economics
- Keywords:
- Calculus Microeconomics Economics Mathematical
- Resource Type:
- Video
-
Others
Testing your prototype is an essential step in Design Thinking. Not only to see if they work but to see if the user is utilizing the product the same way designers think. Learn about the guidelines and types of prototypes you can use in your process.
- Subjects:
- Design Elements
- Keywords:
- Design Communication in design Prototypes Engineering
- Resource Type:
- Others
-
MOOC
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.
- Course related:
- APSS1A07 Introduction to Psychology and APSS111 Introduction to Psychology
- Subjects:
- Psychology
- Keywords:
- Psychology
- Resource Type:
- MOOC
-
MOOC
This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. We'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.
- Course related:
- COMP1001 Problem Solving Methodology in Information Technology
- Subjects:
- Computing
- Keywords:
- Python (Computer program language)
- Resource Type:
- MOOC
-
MOOC
Solving the problems and challenges within the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the current system. This course explores the fundamentals of the U.S. healthcare system. It will introduce the principal institutions and participants in healthcare systems, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financing arrangements. We will also discuss the challenges of healthcare cost management, quality of care, and access to care. While the course focuses on the U.S. healthcare system, we will also refer to healthcare systems in other developed countries.The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. Visit the FAQs below for important information regarding 1) Date of original release and Termination or expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content. In this MOOC, you will learn the major challenges of the U.S.healthcare system, Issues you may encounter in efforts to improve healthcare delivery and the healthcare system, and the key stakeholders are in the U.S. healthcare system.
- Course related:
- HSS1010 Freshman Seminar for Broad Discipline in Health Science
- Subjects:
- Management of Health Care Services
- Keywords:
- Medical care United States
- Resource Type:
- MOOC
- « Previous
- Next »
- 1
- 2
- 3