Business Analytics: Prescriptive Models, 5 cr

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    10.02.2020 - 03.05.2020
Last enrolment date
    Online course
    Knowledge of basic descriptive statistics
    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.

IS1: Able to gather, analyze, and evaluate business data and information and transform empirical data into useful and actionable information.
TS1: Able to communicate effectively in English in oral, written and electronic formats using communication and information technology for business applications and prepare and present reports.
    Business analytics with: optimization models, linear programming, non-linear programming, integer programming, goal programming, transportation modeling, simulation.
Marketing analytics with: linear programming, multiple goals.
    Distance learning, webinars. This is fully virtual course. Video lectures, coursework, computer laboratories, virtual studies, individual assignments.
Business Analytics with Management Science Models and Methods, Arben Asllani, 2015.
Other materials:
Power Point slides
Video tutorials
    75 €
Further Information
Other info
    Mr. Marcin Topolewski

See the Timetable