Non-stop
The student is able to use methods and techniques of mathematical programming in business application, which is: data gathering and input challenges and practical solutions, rigorous models formulation, simple to complex and example to generalization problem approach. Student knows how to: understand and analyze model output, and use it to generate practical business recommendations. Student is accustomed with reporting and visualization techniques. The course will focus on practical applications with MS Excel.
IBCRI: Skills in Critical and Analytical Understanding: Critically review, analyze and understand information available from academic and professional business sources.
IBBUS: Applied Business Skills: Apply disciplinary and interdisciplinary knowledge to analyze business challenges and global trends to propose or put into action practical business solutions based on the findings.
Business analytics with: optimization models, linear programming, non-linear programming, integer programming, goal programming, transportation modeling, simulation. Marketing analytics with: linear programming, multiple goals.
Knowledge of basic descriptive statistics.
0-5. Assignments or/and projects. Deadlines to be announced at the beginning of the course.
100% virtual course. Distant learning. Introductory meeting, video lectures and tutorials, homework exercises and assignments. Self-paced course.
Video lectures and tutorials PowerPoint slides MS Excel applications Literature: Business Analytics with Management Science Models and Methods, Arben Asllani, 2015. Optimization in Operations Research: Pearson New International Edition, Ronald L. Rardin, 2014.
Business Analytics with Management Science Models and Methods, Arben Asllani, 2015. Optimization in Operations Research: Pearson New International Edition, Ronald L. Rardin, 2014.