Decision Analytics and Modeling

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент бизнес-информатики и операционного менеджмента

Статус:

Курс обязательный

Когда читается:

1-й курс, 3 модуль

Course Syllabus

Abstract

This course provides a comprehensive foundation in applying analytical methods to solve real business problems. Students will learn to translate complex business scenarios into mathematical models, optimize decisions using linear and integer programming, and evaluate outcomes through data-driven approaches. The curriculum emphasizes practical skills, with hands-on experience in building and solving models using industry-leading systems. Key topics include problem formulation, sensitivity analysis, decision modeling under uncertainty, and the use of simulation techniques. Through individual and team-based projects, learners will develop the ability to derive actionable insights and support strategic decision-making in dynamic business environments.

Learning Objectives

• The aim of the course is to develop student competence in business analytics and optimization modeling by equipping them with a systematic, applied methodology for solving complex business problems.

Expected Learning Outcomes

• Knowledge of mathematical modelling basics (types, characteristics)
• Knowledge of problem types (transportation, investment, blending, etc.)

Course Contents

• Introduction to Business Analytics
• Descriptive Statistics
• Predictive Analytics
• Spreadsheet Modeling and Analysis
• Prescriptive Analytics

Assessment Elements

• Test 1
  A closed-book, paper-based test covering the following course topics: Introduction to Business Analytics, Descriptive Statistics, and Predictive Analytics.
• Test 2
  A computer-based test completed in Microsoft Excel covering the following course topics: Descriptive Statistics, Predictive Analytics, and Spreadsheet Modeling and Analysis.
• Test 3
  A computer-based test completed in Microsoft Excel covering the following course topic: Prescriptive Analytics—Linear Optimization Modeling.
• Final Exam
  A computer-based test completed in Microsoft Excel covering all course topics.

Interim Assessment

• 2026/2027 3rd module
  0.4 * Final Exam + 0.2 * Test 2 + 0.15 * Test 1 + 0.25 * Test 3

Bibliography

Recommended Core Bibliography

• Business analytics, Evans, J. R., 2014

Recommended Additional Bibliography

• Spreadsheet modeling and decision analysis : a practical introduction to management science, Ragsdale, C. T., 2004

Authors

• Orlova Ekaterina Dmitrievna