Tech-Assisted Decision Making: Optimization Fundamentals
Learn essential concepts of technology-assisted decision making, from graph theory to linear programming. Perfect for business optimization.
Learn essential concepts of technology-assisted decision making, from graph theory to linear programming. Perfect for business optimization.
This comprehensive course introduces the fundamentals of technology-assisted decision-making and its applications in business and industry. Students learn to formulate optimization problems as mathematical models and apply various techniques for their resolution. The curriculum covers essential topics including graph theory, linear programming, and optimization algorithms, with practical applications in resource allocation, production planning, and network optimization. Designed for beginners, the course emphasizes hands-on problem-solving using specialized software.
Instructors:
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What you'll learn
Understand technology-assisted decision-making fundamentals
Master graph theory applications in optimization
Learn linear programming techniques
Apply optimization algorithms to real-world problems
Develop mathematical modeling skills
Gain practical experience with specialized software
Skills you'll gain
This course includes:
26 Minutes PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 2 modules in this course
This comprehensive course explores the fundamentals of technology-assisted decision-making through two detailed modules. The first module covers graph theory and its applications in network optimization, while the second focuses on linear programming and optimization techniques. Students learn to formulate and solve real-world problems using specialized software, with practical examples from business, healthcare, and industry. The curriculum emphasizes hands-on learning with case studies and interactive exercises.
Decision-making with graph theory
Module 1 · 4 Hours to complete
Decision-making with linear programming
Module 2 · 4 Hours to complete
Fee Structure
Payment options
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Instructors
Unlock Your Future in Tech with the University of Leeds' Click Start Programme
The Click Start programme at the University of Leeds aims to empower young individuals in the UK by enhancing their digital skills and providing pathways into the tech industry. This initiative offers a limited number of scholarships, granting three months of free access to courses for 18-25 year-olds from underrepresented backgrounds in tech.
Lecturer of Computing and Director of Student Education
Dr. Samuel Wilson serves as a Lecturer of Computing at the University of Leeds, where he also holds the position of Director of Student Education. His responsibilities include overseeing educational strategies and initiatives within the department. Dr. Wilson is involved in various research projects, particularly focusing on algorithms and complexity, contributing to advancing knowledge in these areas. He is committed to fostering a positive learning environment and enhancing the educational experience for students in the field of computing.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.