代做LGT5429 Global Risk and Decision Analysis 2023-2024 Semester 2代做Java语言

日期：2024-03-25 04:07

Faculty of Business

Department of Logistics and Maritime Studies

LGT5429

Global Risk and Decision Analysis

2023-2024 Semester 2

General Disciplines:

CHEATING IN ANY FORM WILL NOT BE TOLERATED: It is the student’sresponsibility to understand and adhere to the “PolyU Regulations on Student Plagiarism” as explained at http://edc.polyu.edu.hk/PSP/main-Assessment.htm

Role and Purposes

The role of this subject is to provide, via a case-based teaching and learning approach, a chance for students to develop a deeper understanding of risk and decision analysis tools and application in real business organizations. Students will be challenged to demonstrate their abilities to apply risk and decision analysis tools and improve business operations. The objectives include (i) to enable students to get familiar with different types of risks in global businesses; (ii) to provide the basic skills and conceptual understanding of the most widely applicable methodologies related to decision making and risk analysis; (iii) to develop a process for knowing when and how to conduct managerially relevant analysis under conditions of uncertainty, too many decision variables, and unstructured contexts, using both models and personal judgement.

Learning Outcomes

Upon completion of the subject, students will be able to:

a.   Develop an understanding of global business and understand the concept of business risk;

b.   Develop a conceptual understanding of commonly applied decision and risk analysis techniques in the context of global business problems;

c.   Apply appropriate strategies and tools available to globalized companies to mitigate and manage risk;

d.   Appreciate the power of technological elements in risk and decision analysis.

Studying this subject will help develop students’ creative thinking and equip them with quantitative methods and emerging analytics tools to conduct risk and decision analysis in global business operations.

Detailed Schedule

Week	Date	Lecture	Actions
1	19 Jan	Course Overview and Basic Concepts: Risk	Form project groups
2	26 Jan	Basic Concepts: Uncertainty, Value at Risk	Form project groups
3	2 Feb	Enterprise Risk Management (ERM)	Form project groups
4	9 Feb	Lunar New Year’s Eve (No Class)
	16 Feb	Lunar New Year Break
5	23 Feb	Decision Tree Analysis	DUE: Email me ([email protected]) a slide about your group   members (group photo, member names, student IDs, and emails)
6	1 Mar	Probability Theory
7	8 Mar	Statistical Sampling	DUE: HW 1
8	15 Mar	Simulation
9	22 Mar	Regression Analysis
10	29 Mar	Good Friday (No Class)
11	5 Apr	Linear Optimization	DUE: HW 2
12	12 Apr	Nonlinear Optimization
13	19 Apr	Integer Optimization
14	26 Apr	Project Presentations & Course Review	DUE: HW 3
	Apr- May	Final Exam (To be determined) Project Report Due

Note: The above outline maybe modified from time to time, depending on timing and interests.

References:

•    Charles Yoe. (2019) Principles of Risk Analysis: Decision Making Under Uncertainty (Second Edition). Taylor & Francis, CRC Press.

•    Robert Clemen and Terence Reilly (2014). Making Hard Decisions with Decision Tools, 3rd Edition, South-Western Cengage Learning.

•    Vincent A. W. J. Marchau, Warren E. Walker, Pieter J.T.M. Bloemen (2019). Decision Making under Deep Uncertainty: From Theory to Practice. Springer.

•    Rajnikanth D. (ed.) (2009), Case Studies on Decision Making, IBS Case Development Centre.