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Industrial Engineering National Taiwan University

Courses

The core courses offered by the Institute of Industrial Engineering at National Taiwan University (NTUIE) are classified as three groups: Optimization and Fundamentals, Engineering and Management Applications, and Methods and Operations.

Optimization and Fundamentals

  • Introduction to Optimization
  • Linear Algebra and Its Applications
  • Introduction to Stochastic Modeling
  • Dynamic Programming
  • Integer and Combinatorial Optimization
  • Introduction to Nonlinear Programming

Engineering and Management Applications

  • Production and Operations Scheduling
  • Fundamentals of Supply Chain Management
  • Game Theory with Applications
  • Decision Methods and Industrial Applications
  • Introduction to Statistical Control and Optimization
  • Time Series Analytics
  • Industrial Risk Assessment and Management

Methods and Operations

  • Soft Computing Methods and Applications
  • Data Analytics
  • Discrete-Event Simulation and Implementation
  • Innovation and Intrapreneuring Management
  • Supply Chain Modeling and Algorithms

In addition to the core courses offered by NTUIE, a vast of courses are offered in English. The detailed information of the courses offered in English can be found at the NTU Course Information.

The Institute of Industrial Engineering at National Taiwan University (NTUIE) offers the following core courses lecturing in English: Introduction to Optimization, Introduction to Stochastic Modeling, Data Analytics, Dynamic Programming, Production and Operations Scheduling, Time Series Analytics, and Game Theory with Applications. In addition to those core courses offered in English, more courses lectured in English can be found at the NTU Course Information.

The course forms a module of Quantitative Decision Analytics, which includes three fundamental courses: Introduction to Optimization, Introduction to Stochastic Modeling, and Data Analytics. Four specific subjects: Dynamic Programming, Production and Operations Scheduling, Time Series Analytics, and Game Theory with Applications are covered in the module. The three fundamental courses can be extended to these four subjects. Specifically, general knowledge of stochastic processes is a prerequisite to dynamic programming and production scheduling. The linear programming and integer programming methods are generally applied to production scheduling. In addition, the mathematical preliminary in optimization is extended to game theory. Several methods in time series analytics methods are also based on the methods learned in data analytics.

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