2026/2027
Принятие управленческих решений
ID 1109480
Язык:
английский
Кредиты:
5
Контактные часы:
48
Course Syllabus
Abstract
Management science can be defined as the application of scientific and systematic procedures, techniques and tools to operational, strategic and policy problems in order to help develop and evaluate solutions to problems encountered within management. Management science includes all rational approaches to management decision-making that are based on an application of scientific and systematic methodologies. Both management science as a discipline, and management scientists as individuals with specialised training, aid management by providing a structure to decision-making situations whose complexity, and/or level of uncertainty, makes intuition an unsafe guide. The distinctive feature of the management science approach is the construction of an explicit, simplified model of relevant aspects of the situation under study. Such models are often based on mathematical or statistical formulations, but may at other times have a more qualitative character.
Learning Objectives
- enable you to see that many managerial decision-making situations can be addressed using standard techniques and problem structuring methods
- provide a comprehensive and concise introduction to the key techniques and problem structuring methods used within management science that are directly relevant to the managerial context
- enable you to see both the benefits, and limitations, of the techniques and problem structuring methods presented.
Expected Learning Outcomes
- be able to discuss the main techniques and problem structuring methods used within management science
- to be able to carry out simple exercises using such techniques and problem structuring methods themselves (or explain how they should be done)
- to be able to critically appraise the strengths and limitations of these techniques and problem structuring methods
Course Contents
- Problem structuring and problem structuring methods
- Network analysis
- Decision making under uncertainty
- Inventory control
- Mathematical programming formulation
- Linear programming solutions
- Markov processes
- Queueing theory and simulation
Assessment Elements
- Written examThe exam will take place offline in a computer auditorium (Startexam platform with proctoring via SafeExam browser). Exam consists of three parts. The first part is a mini-case to be analyzed using decision making models, discussed in the course. The second part requires reflection on the theoretical question, providing explanations, interpretations and student’s own examples. The third part is a computational problem in the field of MCDM, voting and decision making under risk and uncertainty. Duration: 80 minutes. Order of task completion: Non-linear (you will be able to come back and change your answer). This is a closed book exam. Before the start of the examination, a mandatory student identity verification procedure will be conducted. Each student must present their valid student ID card to gain access to the exam. Admission to the examination will be granted only after successful identity verification. In case of any suspected plagiarism, cheating, or use of unauthorized assistance during the examination, the instructor reserves the right to conduct an additional individual interview with the student. The purpose of this interview is to verify the student’s understanding of the exam content and the authenticity of their answers. If such an interview is conducted, the final grade for the examination will be determined based on the results of this additional interview.
- Individual assignment #2Individual assignment on the topic “Decision-making under Risk and Uncertainty”. Analyze an organization you are familiar with that deals with substantial risks in its regular business: select one of those risks and apply the 6 generic risk management strategies to it: i.e. propose specific measures to manage this risk. Summarize your findings in a table that covers: 1) Generic risk management strategy, 2) Detailed description of how it could be applied to this specific risk in this particular organization (or why it cannot be applied). Formulate and apply decision making criteria to justify the strategy chosen.
- Individual assignment #1Students have to choose a managerial decision-making process, which occurs on a regular basis in an organization familiar to them, and to analyze it using the H. Mintzberg’s three-fold model “Thinking first”, “Seeing first”, and “Doing first”. The process should be identified as a certain superposition of the three models, or the subset thereof. Based on the results of this analysis students develop recommendations on how the efficiency of the process could be increased. These recommendations may include either the change of the nature of the process in question (ex. moving from trial-and-error mode of “Doing first” towards routinized procedure of “Thinking first”) or developing and strengthening the existing nature of the process via implementing steps and policies discussed in the course.
- Group assignmentGroup project on the topic of "Evidence-Based Management". The instructor will form teams of 4-5 students. Each team will be presented with a real-world problem from an actual client – an external organization partnering on this assignment. Students will be required to propose solutions to this problem using evidence-based management tools and present their work directly to the client.
- AttendanceSeminar attendance is assessed.
Interim Assessment
- 2026/2027 4th module0.2 * Attendance + 0.1 * Individual assignment #2 + 0.15 * Group assignment + 0.15 * Written exam + 0.4 * Individual assignment #1
Bibliography
Recommended Core Bibliography
- An introduction to management science : quantitative approaches to decision making, , 2017
- Rational analysis for a problematic world revisited : problem structuring methods for complexity, uncertainty and conflict, Rosenhead, J., 2009
Recommended Additional Bibliography
- Operations research : applications and algorithms, Winston, W. L., 2004