DiGi Training

This course covers the most recent developments in the area of construction project planning and control and illustrates the application of digital tools for the effective delivery of construction projects. The offerings of this course will be tailored based on your employee’s needs, from the basic concepts of project planning and control like Critical Path Method scheduling in Microsoft® Project or Primavera® P6; to advanced concepts like stochastic resource allocation by Discrete-Event Simulation or Clash Detection by Autodesk® Navisworks Manage using BIM models.

• The Basic Course Covers: Construction Project Phases | The 10 Key Project Management Knowledge Areas from PMBOK | Project Scheduling Using Gantt Charts and Critical Path Methods | Project Cost Estimation by Parametric, Analogous, and Detailed Quantity Take-Off.
• The Intermediate Course Covers: Brief Review of the Basic Course Material | Project Scheduling Using Linear Scheduling for Repetitive Projects | Stochastic Project Scheduling Using PERT Method | Stochastic Project Cost Estimation Using Monte Carlo Simulation | Basic Project Risk Management Using Probability-Impact Matrix.
• The Advanced Course Covers: Brief Review of the Intermediate Course Material | Construction Operations Modelling by Discrete Event Simulation | Stochastic Resource Management (and Supply Chain Management) | Advanced Project Risk Management Using Fuzzy Logic and Monte Carlo Simulation.

Project control is crucial for ensuring that a project stays on track, meets its objectives, and delivers results efficiently and effectively. It involves monitoring and managing the project’s scope, schedule, budget, quality, and risks. By implementing project control processes, teams can identify potential issues early, make informed decisions to address them, and ultimately, increase the likelihood of project success. In this course, we are discussing digital methodologies for controlling construction projects and powerful methods for amending your projects’ delivery plans to take them back on track.

• This Course Covers: Earned Value Method | Project Schedule Update and Schedule Crashing | S-Curve Analysis and Project Budget Update | Stochastic Resource Allocation Using Discrete Event Simulation.

Building Information Modelling (BIM) is an advanced technology introduced to the construction industry and revolutionized how construction projects are developed, designed, constructed, and commissioned. With many parties involved in construction projects, BIM can be viewed from various perspectives, like architectural or structural designers. In this course, we are viewing BIM from the construction project manager’s perspective and discuss the opportunities and threats that it offers to your project. With the rising implementation of BIM technology in construction projects, understanding its main concepts and the opportunities and threats that it offers is essential for the construction project managers of the modern era.

• The Basic Course Covers: What is BIM | How BIM Started and Evolved to the Current State | What is the Common Data Environment (CDE) and What Information is Stored in CDE | The Concept of Inter-Operability | 2D and 3D Designs | BIM-Assisted Project Scheduling (4D BIM) | BIM Assisted Project Cost Estimation (5D BIM).
• The Advanced Course Covers: A Highrise Project Case Study from Start to Finish, Including: Visualising the Design in Autodesk Revit, Scheduling the Project Activities in Microsoft Project, 4D BIM Modelling in Navisworks Manage, Quantity Take-Off in Navisworks Manage and Cost Estimation, Clash Detection in Navisworks Manage.

Data analytics is revolutionizing construction management by providing valuable insights that improve decision-making, enhance productivity, and reduce costs. Through the use of advanced analytics tools, construction managers can analyze large volumes of data to identify trends, predict potential risks, and optimize project schedules. By leveraging data analytics, construction companies can streamline operations, improve resource allocation, and enhance overall project performance. From monitoring project progress to managing supply chains, data analytics is transforming the construction industry, enabling companies to deliver projects more efficiently and effectively than ever before. 

In this course, we introduce advanced digital solutions for managing construction projects, including applications of machine learning and simulation techniques in the construction industry. Using this course, construction organisation can train their own data science experts. This course will be taught in Python Programming Language and will be designed for all levels of programming proficiency. The contents of this course will be designed for the clients upon the free consultation session, and identifying the particular needs of organisation for digital transformation.