Construction Project Management – 30 Hr

Who is this course for?

• ✔ If you are a Project Manager and want to strengthen your knowledge in management, whether as a consultant or in a contracting company.
• ✔ The first course in Egypt that explains these practical areas in such depth.
• ✔ If you are a Site Engineer aiming to become a Construction Manager or Project Manager, the knowledge here will be very valuable.
• ✔ If you are a contractor or a small business owner and want to understand project management to grow your business and communicate better with clients.
• ✔ If you are a Technical Office Engineer, this course is essential because it represents the natural development of your career and the language of meetings you must master.
• ✔ If you want to enter the planning field, whether experienced or a fresh graduate, this is a strong starting point.
• ✔ If you want to learn the best practices for projects from initiation to preliminary handover and develop yourself.
• ✔ If you want to fully understand and speak the language of project management, you will gain hands-on application and best practices here.

Course Content

Pre-Tender Phase

• Quick overview of feasibility studies from the owner’s perspective and consultant selection.

Design Phase

• Gathering requirements, design stages, and coordination between disciplines with licensing authorities.
• Communication looping and correspondence samples from real projects.

Tender Phase

• Preparing contract documents, understanding their importance, and pricing.
• Administrative contracts (Law 182) – types of tenders and methods of bidding.
• Technical evaluation criteria and how to submit a financially successful bid.
• Types of contracts by pricing method.
• International contracts (FIDIC – Red Book): key clauses, rights and obligations, variations, and price adjustments.

Reviewing Documents & Pricing

• Studying contract documents and details affecting pricing.
• Factors influencing activities, material and labor costs.
• Identifying risks using RBS (Risk Breakdown Structure).
• Understanding bid priorities and unbalanced bids by examples.

Construction Phase

• Site possession: importance and roles of all parties.
• Project planning: Equipment list, Organization Chart.
• Project meetings, especially Kick-Off Meeting – roles, preparation, and real examples.
• Essential plans: Mobilization, Logistics, Quality, Safety.
• Method Statements, ITPs, Baseline Schedule, Contractual Duration.
• Understanding project schedules, including resource allocation, narrative reports, and activity sequencing.
•  Daily project manager routines, technical office follow-ups, logs (IR, MIR, DOS, MS, DCN).
• Lessons learned from real projects, corrective and preventive actions.
• Submittals: material approvals, quality grades, fraud detection, inspections, and specifications.
• Team building and communication strategies.
• Quality Control (QC) and Quality Assurance (QA), including preparation and use of practical forms.
• Shop drawings and acceptance criteria.
• Material submittal procedures, including key properties of major construction materials.

Cost Control

• Methods and forms for cost control, material and warehouse management.
• Handling design changes (DCN).
• Project control forms and reporting.
• Payment certificates: types, deductions, advance payment guarantees, variation orders, escalation formulas, subcontractor payments, and dispute avoidance.

Claims & Handover

• Time and cost claims with real project examples.
• Handover processes: Snag List, Clearance List, Punch List, TOC (Taking Over Certificate).
• Overview of key management certifications: PRMG, PMP, PM2.

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• introduction to system components:
• DCS Architecture And Definitions
• types of control rooms
• types of panels
• types of stations
• Build system hardware :
• CONTROLLER
• Analog Input Module
• Digital Input Module
• Analog Output Module
• Digital Output Module
• Configure phase plate pv,mv:
• How to read transmitter signals
• How to operate valve signals
• Configure PID control:
• Define terms (sp,pv,mv)
• Types of PID actions
• Configure split range control
• Exclusive type
• Progressive type
• Complementary type
• Configure cascade control and modes of operations :
• Automatic mode
• Cascade mode
• PRD mode
• Drawing graphics and animated with linked tags
• Creating logics and to be tested with graphics

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Introduction

• Pm is a Plant Maintenance operates the overall maintenance business processes and functions.
• The Plant Maintenance module allows a maintenance organization to: Identify, document, and correct failures of any assets for which they have responsibility.
• Plan and schedule activities to prevent or predict failures and keep assets and processes operating within design specifications.
• With functionality for Plant Maintenance, SAP Plant Maintenance (SAP PM) gives you the power to plan and execute end-to-end maintenance processes, to manage master data and to use PM information system.

Chapter 1

• Introduction to ERP system and brands
• Meaning of SAP ERP
• SAP Modules
• SAP Consultant skills ERP Business Process
• Production Planning Business of any company

Chapter 2

• Log on to SAP PM module
• Sap system navigation
• The interface of FUORI and GUI
• FIELD Help

Chapter 3

• Introduction to SAP PM module
• Introduction to planned and unplanned maintenance
• Maintenance strategies
• Maintenance spare parts and the warehouse
• Planning and scheduling principles
• Maintenance planner and maintenance work order difference
• Difference between EAM and PM
• How to start to apply CMMS?

Chapter 4

• Organization Structure
• Business structure
• Maintenance planning plant
• Maintenance planning plant types
• Maintenance plant
• Maintenance planner group
• Plant section
• Location

Chapter 5

• Work center
• Functional location
• Equipment
• Bill of material (BOM)
• Characteristics and class
• Codes and catalogs
• Task list
• Measuring points and measuring counter
• Permits

Chapter 6

• Corrective maintenance
• Preventive maintenance
• Shutdown maintenance
• Emergency maintenance
• Sub-order
• Follow on order
• Calibration order
• Refurbishment order

Chapter 7

• Create pm notification
• Create work order from notification
• Release work order
• Change work order operation
• Assign material for maintenance operations
• Goods issue for the order
• Assign task list for maintenance and insert operation
• Create Purchase Requisition material or service
• Confirmation of work order
• Inspection approved
• Complete technical
• Settlement
• Complete business

Chapter 8

• Create maintenance strategy
• Create maintenance plan
• Preventive maintenance (time based single cycle)
• Preventive maintenance (strategy based )
• Preventive maintenance (cycle set)
• Schedule the maintenance plan
• Calling the work order
• Release work order
• Create Purchase Requisition material or service before release the vorder
• Confirmation of work order
• Complete technical
• Complete business
• Deadline monitoring

Chapter 9

• Create Refurbishment Order
• Release Order & Print Papers
• Goods Receipt Refurbishment Order

Chapter 10

• Create maintenance characterstics master data
• Assign MICS to maintenance plane
• Create calibration order
• Execute the order
• Complete order

Chapter 11

• Create maintenance manual order
• Create shutdown order
• Create sub order
• Create follow on order

Chapter 12

• Display functional location
• Display equipment
• Display notification
• Display work center utilization
• Display orders
• Display materials list
• Display purchase requisition

Chapter 13

• Create maintenance plant
• Create maintenance planning plant
• Assign maintenance planning plant to maintenance plant
• Maintain object type
• Maintain Catalogues
• Define Catalogue Profile-Status Profile-Notification Types-Number Ranges
• Define Overview of Notification Type
• Configure Order Types
• Configure Number Range so Create Default Value Profiles for General Order
• Settlement Rule: Define Time and Creation of Distribution Rule Data
• Define Notification- and Order Integration
• Define Maintenance Activity Types-Priorities-Status Profile
• Define Maintain Scheduling Types
• Set Scheduling Parameters
• Assign Object Information Keys to Order Types
• Define Control Parameters for Completion Confirmations
• Maintain Task List Status
• Define Task List Usage
• Configure Planner Group
• Define valuation of goods received

Out come

After Successful implementation of this course you

will be able to:

• Perform the roles of End users, Super-

users

• Configure and Implement a PM System.

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Course Content

Chapter 1: ERP Introduction

Unit 1: ERP Overview

• ERP Concept History
  • Why ERP
  • ERP brands and products

Unit 2: SAP ERP in general

• SAP Concept
• SAP History
• SAP Customers
• SAP Modules
• SAP SERVERS
• SAP Consultant and Users
• SAP Methodology

Unit3: Material Management Business Concept And Organizational Levels

• Business Overview
• Enterprise Structure Chart
• Purchasing Organization Chart
• SAP Data Types

Chapter 2 – End User

Unit 1: Introduction

• New User Experience for S4HANA
• Logon To SAP System And Navigation
• Add favorite list
• Open multiple sessions
• SAP Help

Unit 2: SAP Material Management Master Data

• SAP Material Management Master Data
• SAP Material Management Business Partner
• SAP Material Management Purchasing Information Record
• SAP Material Management Source List
• SAP Material Management Services

Unit 3: SAP Material Management Business Process

• Purchasing requisition
• Request for Quotations (RFQ)
• Purchase Order
• Contract Management
• Scheduling Agreement
• Consignment
• Subcontracting
• Consumable Purchasing
• Services Purchasing

Unit 4: SAP Material Requirements Planning (MRP)

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• String preprocessing (re)
  • Embedding & Word2Vec
  • RNN
  • LSTM & GRU
  • Text classification
  • LDA
  • Glove
  • Language Modeling
  • Text Generation
  • Auto correct
  • Text classification
  • LDA
  • ChatGPT

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Introduction to Computer Vision
CNN Architecture
Padding & Stride Convolutions
Pooling Layers
Convolutional Neural Networks & Datasets
Multiclass classification
Object Detection
Non-max Suppression
YOLO Algorithm
Face Verification and Binary Classification
Transformers
Auto-Encoders
GANs

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Difference between AI, DL, ML and ANN
Introduction to Neural Networks
Deep Learning with Pytorch
Linear Regression
Binary Classification
Logistic Regression
Gradient Descent
Deep layer neural network
Forward and Backward Propagation
Regularization and Dropout
Adam optimization algorithm
Tuning process
Multi Classification with Deep Learning
Transfer learning

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Learn procedures to implement data confidentiality, integrity, availability and security controls on networks, servers and applications.
Understand security principles and how to develop security policies that comply with cybersecurity laws.
Apply skills through practice,
Get immediate feedback on your work through built-in quizzes and tests.

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NumPy
o Create Numpy Array
o Indexing
o Arithmetic and Logic
o Universal Array Functions

• 
  Pandas
  o Series
  o Data Frames
  o Data Input & Output
  o Useful Methods
  o Apply function
  o Grouping data and aggregate functions
  o Merging, Joining and Concatenating
  o Pivoting
• OpenCV
  o Read images
  o Color spaces
  o Operations on images
  o Draw shapes
  o Edge detection
  o Cascade classifier
  o Video stream
  o Real time detection

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Module one: Python (24h)

Basics
o Why python?
o python with AI and ML
o Input & Output
o Variables
o Data types
o Boolean & Comparison and Logic
o If Conditions
o For Loops
o Built-in functions & Operators
o Numbers & Math
o Functions
o Variables Scope
o Modules
o Command Lines
o File Handling
Object-Oriented Programming (OOP)
o Strings
o Special Functions
o Classes
o Inheritance
o Regular expressions
o Working with files
o Python generators

Module Two: Data Preprocessing & OpenCv (24h)

NumPy
o Create Numpy Array
o Indexing
o Arithmetic and Logic
o Universal Array Functions

• 
  Pandas
  o Series
  o Data Frames
  o Data Input & Output
  o Useful Methods
  o Apply function
  o Grouping data and aggregate functions
  o Merging, Joining and Concatenating
  o Pivoting
• OpenCV
  o Read images
  o Color spaces
  o Operations on images
  o Draw shapes
  o Edge detection
  o Cascade classifier
  o Video stream
  o Real time detection

Module Three: Machine Learning (20h)

Introduction to ML
o The difference between ML, Big data, Data analysis and Deep Learning
o Linear Algebra and Statistics for ML
o Data preprocessing

Regression problem
o Linear Regression
o Multi-linear regression
o Polynomial regression
o K-nearest neighbor regression
o Decision tree regression
o Regression Evaluation Metrics

Classification problem
o Logistic Regression
o Naive Bayes
o K-nearest neighbor classifier
o Support vector machine (SVM)
o Decision tree classifier
o Ensemble learning
o Classification Evaluation Metrics
o Random Forests
o XGBoost

Clustering Problems
o Dimensionality reduction
o K-means
o DBSCAN
o hierarchical clustering
o Association Rules

Model Selection and evaluation
o Loss functions
o Gradient descent
o Bias-variance tradeoff
o Cross-validation
o Hyper parameter tuning

Module Four: Artificial Neural Networks (20h)

Difference between AI, DL, ML and ANN
Introduction to Neural Networks
Deep Learning with Pytorch
Linear Regression
Binary Classification
Logistic Regression
Gradient Descent
Deep layer neural network
Forward and Backward Propagation
Regularization and Dropout
Adam optimization algorithm
Tuning process
Multi Classification with Deep Learning
Transfer learning

Module Five: Computer vision (24h)

Introduction to Computer Vision
CNN Architecture
Padding & Stride Convolutions
Pooling Layers
Convolutional Neural Networks & Datasets
Multiclass classification
Object Detection
Non-max Suppression
YOLO Algorithm
Face Verification and Binary Classification
Transformers
Auto-Encoders
GANs

Module Six: Natural Language processing (36h)

• String preprocessing (re)
  • Embedding & Word2Vec
  • RNN
  • LSTM & GRU
  • Text classification
  • LDA
  • Glove
  • Language Modeling
  • Text Generation
  • Auto correct
  • Text classification
  • LDA
  • ChatGPT

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