Introduction to our LAB (Electronic Business and Collaborative Commerce)
First
of all, welcome everybody to join the IEM department of NCTU. I am
Prof. Chih-Hsuan (Jason) Wang. It’s my great pleasure to introduce our
LAB: Electronic Business and Collaborative Commerce (EBCC).
- About our LAB: In brief, EBCC covers many interesting topics,
such as supply chain management (SCM), customer relationship (CRM),
business performance management (BPM), product design and service
design, project and risk management. In simple words, it spans from the
operational ERP (enterprise resource planning) to the decision-support
war room.
- Prerequisite courses:
students need to learn production & operation management,
statistics, and database management prior to joining our LAB.
- About the IEM courses: the courses offered by the IEM
department can be simply classified into the
following categories:
- Statistics: multivariate analysis, design of experiments, time series, stochastic process, system simulation,
- Operation Research: scheduling, queuing theory, computational complexity, combinatorial optimization, mathematical programming,
- Computing Science: data mining, business intelligence, artificial neural network, fuzzy theory, meta-heuristics,
- Domain knowledge: supply chain management, product design and
development, total quality management, manufacturing management (theory
of constraint), semiconductor manufacturing management, human-machine
interface.
- Computer software and other issues: in order to cultivate the
cross-disciplinary capabilities, our students need to be good at using
some of the following packages, such as Python, MATLAB, R, SPSS, SQL. In
particular, they are strongly recommended to have background knowledge
in database and statistical data analysis. Our lab is closely related
to statistics and computing fields and hence graduate students need to
take their courses within the specific topics. Rather than developing
theoretical mathematical models or computing algorithms, on the
contrary, we encourage students to apply systematic methodologies to
solve industrial problems.
