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We are all familiar with the science of operations management in some way, since we all have scarce resources and have to allocate those resources properly. Think about the process of preparing a meal: you have to gather all the proper ingredients and prepare them for cooking. Certain ingredients go in at certain times. Occasionally, you fall behind or get too far ahead, jeopardizing the entire meal. And, of course, if you find that you do not have enough ingredients, even more problems arise. All of these elements of meal preparation – purchasing ingredients, prepping the ingredients by dicing them up, mixing ingredients together, boiling or baking the dish, serving, and cleaning – can be seen as parts of operations management. In the realm of business, operations management is more complicated than preparing a family meal. There may be hundreds or thousands of participants rather than just you and your brother or wife or grandfather cooking in the kitchen. Each participant has a specific role in the operations process; if any step of the process is disrupted, the whole process can stall or fall apart. Smart operations managers will have contingency plans in the event that stoppages occur. In this course, you will learn the fundamentals of operations management as they apply to both production and service-based operations. Successful completion of this course will empower you to implement the concepts you have learned in your place of business. Even if you do not plan to work in operations, every department of every company has processes that must be completed; someone savvy with operations management will be able to improve just about any process.
- Subjects:
- Logistics
- Keywords:
- Production management
- Resource Type:
- Courseware
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Courseware
6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
- Subjects:
- Computing
- Keywords:
- Computer programming Computer science Python (Computer program language)
- Resource Type:
- Courseware
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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
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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
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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
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Courseware
The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.
- Subjects:
- Electrical Engineering
- Keywords:
- Signal processing
- Resource Type:
- Courseware
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Courseware
This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.
- Subjects:
- Electrical Engineering
- Keywords:
- Electromagnetism
- Resource Type:
- Courseware
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Courseware
This catalog contains educational content originally curated by Boundless. In collaboration with the Boundless team, Lumen Learning imported these OER courses to the Lumen Platform, to ensure they remain freely available to the education community after Boundless ceased operations. Lumen maintains the Boundless content in the same condition it was provided to us. Please note, courses may contain issues with formatting, accessibility, and the degree to which content remains current, accurate, and complete.
- Course related:
- HSS2011 Human Anatomy and ABCT2326 Human Physiology
- Subjects:
- Health Sciences
- Keywords:
- Human anatomy Human body
- Resource Type:
- Courseware