Optimization is the most important sub area of the discipline Operations Research. Optimization problems arise in all walks of human activity- particularly in engineering, business, finance and economics. The simplest optimization problems are linear in nature which may be subject to a set of linear constraints. This course will equip the student with the expertise to mathematically model real life optimization problems as Linear Programming (Optimization) Problems and subsequently educate the student to solve these models with the help of the available methods.
INTENDED AUDIENCE: Any student who wants to learn the basic concepts of Operations Research
INDUSTRY SUPPORT: All industries who have to minimize cost of production or maximum output
Some points apply to every course of this kind; see how we rank.
Indian Institute of Technology Roorkee is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (90/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University · edX
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Speakers: Gilbert Strang, Alan Edelman, Pavel Grinfeld, Michel Goemans Revered mathematics professor Gilbert Strang capped a 61-year career as a faculty member at MIT by delivering his final 18.06 Linear Algebra lecture before retiring at the age of 88. In addition to a brief review for the course…
