Search results: 3209
Deep foundations: Pile foundations, types of piles, bearing capacity and settlement of piles and pile groups, negative skin friction, design of piles, vertical or battered. Other deep foundation systems, such as piers and caissons. Sheet piles: Types, analyses and design procedures of sheet piles.
- Teacher: Mahommad Karimi
This course introduces the principles and applications of water resources engineering, focusing on how water moves, is stored, and can be managed in natural and human-made systems. Students will learn how to analyze catchments, estimate runoff, and design systems for water supply, irrigation, and flood control.
The course combines theory with practical tools such as HEC-HMS for hydrologic modeling and decision-making. It also emphasizes sustainable management, showing how engineering solutions connect with environmental and social needs. By the end of the course, students will understand the main components of the hydrologic cycle, evaluate water demands, and apply engineering approaches to solve real-world water challenges.
- Teacher: Mehrnoush Kohandel
This course aims to provide graduate students with the information and practices in project appraisal, life cycle costing, value management and envirnonmental management. This course covers a wide range of subjects that are required in the daily operations in the construction industry. Students will gain valueable experience through different types of projects which will require the application of life cycle costing methods, value management, envirnonmental appraisal and management and an overall project appraisal.
- Teacher: Tahir Celik
This course provides to reduce the carbon
footprint of organisations and encourage the conservation of energy, energy
efficiency has become an integral part of building services design, maintenance
and upgrade. This course consists of four modules that, together, provide an
introduction to energy efficiency in buildings. It is a comprehensive tutorial,
meant to engage and challenge students to consider the many decision levels and
options involved in advancing energy efficiency in buildings. The course covers
the fundamental technical, design, policy and financial dimensions necessary to
practically engage on the topic. Energy efficient buildings are a cornerstone
of a prosperous, sustainable and healthy society. This course aims to prepare
participants to successfully advance energy efficient building construction and
retrofits by equipping them.
- Teacher: Reza Goldaran
Construction projects are risky. Things can and do go wrong
regularly. In this course, we explore the fundamentals of risk
management in construction projects. The purpose of this course is to
learn the tools and techniques to manage uncertain events and
circumstances that can influence the project. The course is designed for
engineers, quantity surveyors, and construction management
professionals looking to further develop their learning.
By the end of this course, you should be able to:
Understand the fundamentals of risk management including key terms and definitions
Apply and use the risk management process to properly identify, analyze and manage uncertain events and circumstances
Understand
the specific risks applicable to construction projects including
technical, construction, health and safety, environmental, commercial,
and external
This course focuses on learning data science through the interest to development and improvement of capability of solving rich problems from data point of view in a systematic and principled way by using high quality instructions and basic level data science techniques. Students will be introduced to what data science is, will discover the applicability of data science across fields, and will learn how data analysis can help them make data driven decisions. Students will gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. This course provides the students with the required structure and responsibilities in order to educate them as data scientists progressing a right way with high concluding capabilities.
- Teacher: Jana Alhajj
- Teacher: Kian Jazayeri
- Teacher: Daniel Okpala
This course provides a comprehensive understanding of transforming data into visuals by introducing participants to important principles of analytical design and practical data visualization techniques for the exploration and presentation of univariate and multivariate data. Data visualization is covered as one of the most effective tools to explore, understand, and communicate patterns in quantitative information. The course provides a broad understanding of techniques and algorithms of turning data into readable visuals. Upon completion of the course, students learn about data visualization processes including data modeling, data aggregation and filtering, mapping data attributes to graphical attributes, and visual encoding. Students also learn to assess the effectiveness of different visualization designs, and critically evaluate each design decision.
- Teacher: Kian Jazayeri