경영과학론 · 전공필수 (2학년) · 개설학기: 1, 2학기
Major Core (2nd Year) · Fall & Spring | Course Code: 107474
After completing this course, students will be able to:
• Identify and analyze managerial decision-making problems.
• Formulate, solve, and interpret business problems using mathematical models.
• Apply computational tools to support managerial decision-making and interpret analytical results.
Topics
• Linear Programming (LP) and Applications
• Duality and Sensitivity Analysis
• Transportation and Assignment Problems
• Nonlinear Programming (NLP)
• Integer Programming (IP)
• Network Models
• PERT/CPM
• Decision Analysis
• Utility Theory
• Queueing Systems
생산운영관리 · 전공공통 (3학년) · 개설학기: 1, 2학기
Major Common (3rd Year) · Fall & Spring | Course Code: 107324
After completing this course, students will be able to:
• Analyze changes in the business and operational environment.
• Explain the role of Production and Operations Management (POM) as a core function of management.
• Analyze production and service systems using a systematic approach to operational problems.
• Apply quantitative and qualitative methods to key decisions in operations management.
• Develop critical understanding of POM concepts through readings and analytical writing.
Topics
• Production Strategy
• Demand Planning: Forecasting and Management
• Quality Management and Quality Control (QC tools)
• Capacity planning
• Layout and Location analysis
• Inventory Control
• Aggregate Planning (Sales and Operations Planning, S&OP)
• MRP, ERP, and JIT
• Product and Service Design
• Introduction to Supply Chain Management (SCM)
경영통계 · 균형교양 (1학년) · 개설학기: 1, 2학기
Balanced General Education (1st year) · Fall & Spring | Course Code: 107477
After completing this course, students will be able to:
• Develop a statistical perspective to analyze and design business processes.
• Apply basic statistical methods to business data and interpret analytical results.
• Use statistical computing tools and relevant commercial software for data analysis.
• Critically evaluate statistical information generated by generative AI tools and assess its validity and reliability.
Topics
• Descriptive Statistics
• Probability
• Random Variables and Probability Distributions
• Sampling Distributions
• Inferential Statistics: Estimation and Hypothesis Testing
• Analysis of Variance (ANOVA)
• Regression Analysis
• Use of Statistical Software (Excel, R, Python, etc.)
통계분석실습 · 전공선택 (2학년) · 개설학기: 1학기
Major Elective (2nd Year) · Spring | Course Code: 107432
After completing this course, students will be able to:
• Apply and reinforce statistical concepts introduced in “Business Statistics” through hands-on practice.
• Apply a range of statistical methods to business data and interpret analytical results.
• Use statistical computing tools and relevant commercial software for data analysis.
Topics
• Review of Basic Statistics
• Data Collection and Reliability Analysis
• Descriptive Statistics: Understanding a Sample
• Inferential Statistics: Understanding a Population
• Estimation and Hypothesis Testing for Population Parameters
• Analysis of Variance (ANOVA)
• Goodness-of-Fit Tests
• Correlation Analysis
• Regression Analysis (Simple and Multiple)
• Categorical Data Analysis
• Factor Analysis
• Discriminant Analysis
• Logistic Regression
• Cluster Analysis
※ This course provides a solid foundation for pursuing national certifications such as the Advanced Data Analytics Semi-Professional (ADsP, 데이터분석 준전문가) and the Survey Analyst, Junior (사회조사분석사 2급).
경영과학응용 · 전공선택 (3학년) · 개설학기: 1학기
Major Elective (3rd Year) · Spring | Course Code: 107435
After completing this course, students will be able to:
• Develop advanced systematic thinking for modeling complex managerial decision-making problems.
• Address managerial problems using quantitative and analytical approaches.
• Understand and apply both deterministic and stochastic models, including decision analysis, game theory, and queueing theory.
Topics
• Review of Linear Programming (LP) and Applications
• Multiple Criteria (Multi-Attribute) Decision Making Models
• Analytic Hierarchy Process (AHP)
• Data Envelopment Analysis (DEA)
• Dynamic Programming for Sequential Decision Problems
• Game Theory and Strategic Decision Making
• Markov Chain Models for Stochastic Systems
• Queueing Theory and Service System Analysis
공급사슬관리 · 전공선택 (3학년) · 개설학기: 2학기
Major Elective (3rd Year) · Fall | Course Code: 108466
After completing this course, students will be able to:
• Describe and explain the fundamental concepts of supply chain management.
• Analyze the design and performance of supply chain networks.
• Derive optimal operational policies and evaluate supply chain performance measures.
• Develop capabilities for coordination and integration across supply chain partners.
Topics
• Decision-Making Problems in Supply Chains
• Strategic Purchasing and Sourcing
• Managing Uncertainty in Supply Chains: Inventory Control
• Global Supply Chain Network Design
• Information Systems in Supply Chains
• Performance Evaluation of Supply Chains
• Supply Chain Integration and Coordination
• Product Availability, Service Levels, and Profitability
• The Beer Game and the Bullwhip Effect
생산운영관리 · 경영대학원 · 개설학기: 2학기
MBA Program · Fall | Course Code: D00280
After completing this course, students will be able to:
• Analyze changes in the business and operational environment from a managerial perspective.
• Understand the role of Production and Operations Management (POM) as a core function of strategic management.
• Analyze production and service systems using a systematic and integrated approach to operational problems.
• Critically read academic research in POM and effectively present key insights and research methodologies to professional audiences.
Topics
• Introduction to the Course: Trends and Strategy of Production and Operations Management (Case Discussions and Industry Reports)
• Forecasting: Purpose, Methods, and Performance Evaluation (Regression Analysis: Theory and Practice; Case Applications)
• Forecasting and Demand Management (Managerial Decision Making under Uncertainty)
• Product and Process Innovation
• Capacity Planning
• Process Selection and Facility Layout
• Location Planning and Analysis
• Quality Control and Quality Management (QC Tools with Basic Statistical Foundations)
• Inventory Control and Supply Chain Coordination (The Beer Game and the Bullwhip Effect)
• Aggregate Planning
• MRP and ERP Systems
• Scheduling, JIT, and Lean Operations
• Supply Chain Management (Global Best Practices and the Gartner Supply Chain Top 25)
Managerial Applications and Discussions
• The Beer Game: Managing Demand Uncertainty
• Case Studies in Operations and Supply Chain Management
• Discussion of Academic and Practitioner-Oriented Papers
These programs were offered in the past.
Quality Management and Applied Statistics, In-house MBA Program, Parkland (2015) (with Prof. D.-H. Sung)
Production and Operations Management; Supply Chain Management, Youth Employment Academy, organized by MegaNEXT (a training company certified by the Ministry of Employment and Labor) (2018-2019)
Quality Inspection Management, Youth Employment Academy, organized by Korean Foundation for Quality (KFQ) (2020)