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Unlock the potential of data analytics with our comprehensive course on Algorithms and Optimization for Business. Designed for fresh graduates and working professionals, this course meets every Sunday from 6:00 PM to 8:00 PM, spanning from August 25, 2024, to December 01, 2024. Learn to apply advanced algorithms to solve real-world business problems and gain the skills to optimize business operations and drive significant growth.

August 25, 2024: Introduction to Algorithms and Optimization

      • Overview of course objectives
      • Introduction to optimization and its importance in business

         

        September 1, 2024: Linear Optimization

         

        • Concepts and applications
        • Solving linear programming problems

           

          September 8, 2024: Mixed Integer Optimization
           
          • Introduction to integer programming
          • Practical applications in business

            September 15, 2024: Greedy Algorithms

            • Basics of greedy algorithms
            • Case studies and examples

              September 22, 2024: Network Flow and Graph Algorithms

              • Understanding network flow
              • Applications in logistics and supply chain

                September 29, 2024: Dynamic Programming

                • Fundamentals of dynamic programming
                • Business applications and case studies

By the end of this course, participants will:

  • Gain a solid understanding of key algorithms and optimization techniques.
  • Develop practical skills to implement these algorithms using R, Python, and Julia.
  • Learn to apply these techniques to solve real-world business problems.
  • Enhance their ability to make data-driven decisions.
  • Be prepared to take on advanced roles in data analytics and business optimization.

Participants will have access to:

  • Comprehensive lecture notes and slides.
  • Sample datasets for hands-on practice.
  • Software tools such as R, Python, and Julia for algorithm implementation.
  • Case studies and real-world examples to solidify learning.
  • A dedicated online forum for peer interaction and support.

Hassaan Khalid Ph.D. Candidate in Information and Decision Sciences, University of Illinois at Chicago

Hassaan Khalid is a seasoned Data Scientist and academic with extensive experience in both industry and research. His expertise spans data analytics, optimization, and business strategy. He has served in key roles at top organizations and has a proven track record of driving business growth through data-driven insights. As a Fulbright scholar and a respected researcher, Hassaan brings a wealth of knowledge and practical experience to the course.

Q: What are the prerequisites for this course? A: Basic knowledge of programming and an understanding of fundamental mathematical concepts are recommended.

Q: Will there be any assignments or projects? A: Yes, there will be weekly assignments and a final project to ensure practical application of the concepts learned.

Q: How do I enroll in the course? A: Fill out the form below and proceed to payment to secure your spot in the course.