Courses
Professional
Required
Courses
Logistics/Transportation Course Introduction
1st year
Subject
Course Introduction
Provide an opportunity to train the students
with skills of an oral presentation on the
research paper in the class. 1. Propose a
Seminar(I)
research topic. 2. Identify research method. 3.
Defense the research questions asked by the
classmates and faculty.
This course introduces various statistical
methods and applications in transportation and
logistics analysis. The objective of this course
Statistics(I)
is to provide the student with a sound
Seminar (II)
Supply Chain Management
Transportation Economics
Selective
Courses
Production and
Operations Management
Mathematical Programming
background in data analysis techniques for
research in transportation, logistics and other
fields.
The objective of this course is to learn a
variety of Transportation and Logistics
problem to improve skills of organization,
problem analysis and modeling formulation.
This course provides the framework of supply
chain management and the basic tools to
develop supply chain strategies.
Provide the basic concept of transport economic
evaluation and apply the concept to analyze
transportation
investment
decisions.
1.
Introduction of transport and economics. 2.
Transportation demand. 3. Transportation costs.
4. Transport pricing. 5. Transportation firms
(rail, motor carrier, air, and water). 6.
Governmental regulation/ deregulation. 7.
Transportation investment.
The goal of this course is to help students
learn the principles and concepts of
production and operations management.
Students should be aware that many of these
principles and concepts are applicable to other
aspects of their professional and personal life.
Consequently, they should expect the benefits
of their study of this course to serve them in
those other areas.
This course presents the development,
analysis, and comparison of algorithms for
solving general subclasses of optimization
problems. Topics include formulation and
solution of linear, integer and non-linear
optimization. Heuristic and metaheuristic
Probability
Transportation Network Analysis
Transportation Management
Global Logistics
methods are also addressed to motivate
students to develop algorithms.
The primary objective of this course is to
make
student
acquainted
with
the
development, analysis, and comparison of
algorithms for solving general subclasses of
optimization problems. The students are
expected to learn how to use the fundamental
techniques to model the optimization
problems and apply the software such as
LINGO to solve them.
This course provides elementary introduction
of probability their applications for students.
The outline of this course includes the
following topics: combinatorial analysis,
axioms of probability, conditional probability,
independence, random variables, continuous
random variables and jointly distributed
random variables
This course is devoted to a theoretical and
rigorous treatment of various topics in
network flow analysis and traffic assignment.
Topics in network flow analysis focus on the
shortest path calculation, maximum flow, and
routing problems.
Topics in traffic
assignment include heuristic assignment
techniques, network equilibrium assignment
problems and solution algorithms, stochastic
user equilibrium, and dynamic traffic
assignment. Relevant advances in network
flow analysis and traffic assignment are also
introduced.
This course aims at introducing theory and
applications for transportation management.
Operation and management for transportation
modes, including urban transit, para-transit,
global logistics, railroads, water carriers, air
carriers, are addressed in the class.
Transportation regulation, public policy,
public-private-partnership, and privatization
are discussed. For each topic, practical cases
are
included
to
enhance
students’
understanding for improving transportation
operations and efficiencies.
Provide the theory and practice of global supply
chain management: international logistics. 1.
Introduction to International Logistics. 2. Global
Sourcing and Trade. 3. Global Supply Chain
Management. 4. Transportation Planning. 5.
Intermodalism and Land Transport. 6.
Management Science
Multiple Criteria Decision
Analysis
Information Systems.
The goal of this course is to help students learn
the principles and techniques of management
science. Students should be aware that many of
these principles and techniques are applicable to
aspects of their professional and personal life.
The outline of this course includes the following
topics: modeling techniques by using game
theory,
linear
programming,
non-linear
programming, dynamic programming, and so
on.
The study of Multiple Criteria Decision Analysis
includes multiple objective decision analysis and
multiple attribute decision analysis. The primary
objective of this course is to make you
acquainted with decision analysis concept and
methods to aid decision-making under certainty
and uncertainty. The students are expected to
learn how to use simple techniques for
improving decision making under uncertainty
and employ decision-analytic methods in
decision support systems in this course.
2st year
Courses
Subject
Seminar(III)
Professional
Required
Courses
Transportation Planning
Course Introduction
The objective of this course is to learn a
variety of Transportation and Logistics
problem to improve skills of organization,
problem analysis and modeling formulation.
The format of this course will be (1) student
presentation of research papers or thesis
proposal and (2) lectures of research work or
experiences from guest speakers. The objectives
of this course are to provide the opportunities
for students to fine-tune their presentation skills
and also to learn more research work in the field
or transportation and logistics.
This course will describe urban transportation
planning
for
master's
students
in
Transportation and Logistics. The course,
devoted to a theoretical and rigorous treatment
of various topics in transportation planning,
takes a critical look at the state of urban
transportation planning today, focusing on
current policies and planning methodologies,
unresolved problems and unmet needs in
Transportation Safety Practice
Traffic Operations and Control
Freight Transportation Practice
Selective
Courses
Revenue Management
Case study on Logistics
Management
Transportation Logistics Project
Evaluations
Logistics Information Systems
transportation,
and
alternative
policy
directions for the future.
This course introduces basic principles of safety
analysis and fundamentals of
developing countermeasures. The objective of
this course is to provide the students
with fundamental techniques in dealing with
problems of transportation safety.
This course introduces basic principles of
intersection signalization and fundamentals
of signal coordination. The objective of this
course is to provide the student with
fundamental techniques in dealing with
problems of traffic signal control.
Introduce the operational issues of freight
transportation and analyze the development of
freight planning process. Introduction to freight
transportation. 2. Freight transportation plans. 3.
Multimodal freight transportation. 4. Freight
flow and network modeling. 5. ITS and freight
transport. 6. Environment and freight transport.
This course provides elementary introduction
of revenue management and their applications
for students. The outline of this course
includes the following topics: Introduction to
pricing techniques, Demand and cost, Basic
pricing techniques, Bundling and Tying,
Multipart tariff, Peak-load pricing, Advance
booking, Overbooking
This course provides the framework of supply
chain management and the basic tools to
develop supply chain strategies.
The primary objective of this course is to
make student acquainted with logistics
management concept and methods.
The
students are expected to learn how to use
fundamental techniques in dealing with
logistics problems.
Provide the principals and procedures of
evaluation of transportation logistics projects.
1. Introduction of transportation decision
making. 2. Performance measures in
transportation
logistics
evaluation.
3.
Transportation logistics costs. 4. Economic
efficiency impacts. 5. Multiple decision
criteria.
Provide the theory and applications of the
logistics, transportation services and economic.
1. Logistics systems analysis. 2. Transportation
planning. 3. Logistics network planning. 4.
Logistics performance metrics. 5. Demand
forecasting in a supply chain. 6. Intelligent
freight transportation.