CEE 411 - Construction Management II
(Level: Undergraduate)
Course Outline
The course covers advanced topics in construction engineering and management, with an emphasis on resource-constrained scheduling, construction law, construction simulation, building information models and 3D/4D visualizations of construction projects. Additional topics covered are as listed below:- Resource allocation,
- Resource-constrained scheduling,
- Competitive bidding and qualifications-based selection,
- Project controls and earned-value analysis,
- Discrete-event simulation of construction operations and queuing models,
- Building information models (BIM),
- 3D/4D simulations.
Course Delivery Tools
The aforementioned topics are taught on the basis of a specific construction project (term project) and with the help of specialized construction-related software (Oracle Primavera P6, Revit, MS-Excel, Navisworks).Course Brief
For more information on the course, its syllabus, newsbrief, academic material and relevant downloads, you may refer to the following page-tabs.
Instruction of the CEE201 course is rotated to other CEE faculty members. [01.SEP.2006]
The second year of instruction of the CEE201 course successfully completes. [01.MAY.2006]
The first year of instruction of the CEE201 course successfully completes. [01.MAY.2005]
CEE201 is introduced to the CEE curriculum as a core course and its instruction is undertaken by Dr. S. Christodoulou. [01.SEP.2004]
Course Syllabus
The course, which covers basic construction management principles such as scheduling, engineering economy and construction law, is structured in 5 thematic aeas and delivered in 14 weeks of lectures ... Read More
Instructional Material
Please note that the following academic material (in Greek) is provided to students and interested readers only as a guide to the course.
Introduction to numerical analysis, and basic concepts. Approximation and errors. Read More
Linear equations - Direct and indirect solution methods. Read More
Eigenvectors and eigenvalues. Read More
Linear interpolation and polynomial approximation. Read More
Non-linear equations. Read More
Differentiation and integration. Read More
Differential equations. Read More
Boundary value problems. Read More
Miscellaneous topics (statistics, artificial neural networks, probabilistic neural networks, etc.). Read More
