University certificate
The world's largest faculty of information technology”
Why study at TECH?
Start up with total guarantee any first level IT project in the technological sector with the teaching acquired in this Advanced master’s degree"
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The development of e-commerce platforms, the implementation of Artificial Intelligence, Cloud infrastructure, and the creation of Virtual and Augmented Reality applications require high-level work from IT professionals.
For this reason, this profile has become very important in recent years for large companies wishing to create disruptive projects. To facilitate this progression in a leading sector, TECH has created this Advanced master’s degree in Technology Project Management of 3,000 hours of intensive and advanced learning.
This is a 24-month program, which allows the graduate to take an academic journey through the technical elements for setting objectives, time management, cost management, defining the quality of the same, as well as monitoring through the most sophisticated tools.
All this, in addition, with a very useful knowledge for the improvement of actions, decision making or the coordination of multidisciplinary teams. A theoretical-practical itinerary that will be complemented by video summaries of each topic, videos in detail, specialized readings and case studies that can be accessed comfortably from any digital device with internet connection.
The professional is before an ideal academic option to be able to obtain a notorious progression in his career at the same time that he studies a first level degree. And the fact is that, without the obligation to attend classes in a center, or have fixed schedules, students have greater freedom to self-manage their study time and reconcile their daily activities with a cutting-edge teaching.
An academic option that will allow you to keep abreast of the latest trends and emerging practices in project management and leadership"
This Advanced master’s degree in Technological Project Management contains the most complete and up-to-date program on the market. The most important features include:
- The development of case studies presented by experts in Technology Project planning, development and Management
- The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
- Practical exercises where self-assessment can be used to improve learning
- Special focus on innovative methodologies in projects in the sector IT and technological
- Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
- Content that is accessible from any fixed or portable device with an Internet connection
Fulfill the legal requirements in information security in technological projects with the knowledge you will acquire in this course"
Its teaching staff includes professionals from the technological field, who contribute their work experience to this program, as well as renowned specialists from prestigious companies and universities.
The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive learning experience designed to prepare for real-life situations.
This program is designed around Problem-Based Learning, whereby the student must try to solve the different professional practice situations that arise throughout the program. For this purpose, the professional will be assisted by an innovative interactive video system created by renowned and experienced experts.
Learn more about the benefits of obtaining the PMP® or CAPM® Certification with this university degree"
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Thanks to the multimedia pills and case studies you will get a dynamic learning about the Technological Project Management"
Syllabus
Thanks to the Relearning method, based on the continuous reiteration of the content of this program, the graduate of this university degree will be able to acquire effective learning, without investing a large number of hours of study. In this way, you will achieve an advanced education on Technological Project Management in only 24 months. To achieve this goal, it has an advanced syllabus that covers design, time management, costs, quality, resources and all those elements that will allow you to successfully carry out any work in the sector.
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A unique academic option that provides you with innovative teaching material and a Relearning system that reduces study hours Enroll now"
Module 1. Introduction to technology project design and management and technology project integration management
1.1. Introduction to technology project management
1.1.1. The role of the project manager
1.1.2. Project definition
1.1.3. Organizational structure
1.2. Project Management, Program Management and Portfolio Management
1.2.1. Portfolios, Programs and Projects
1.2.2. Strategic Management
1.3. Standards and best practices for the management of technology projects
1.3.1. Prince 2
1.3.2. PMP
1.3.3. ISO 21500:2012
1.4. Organizational influences on the design and management of technology projects
1.4.1. Environmental factors of a company
1.4.2. Assets of an organization’s processes
1.5. Technology project management processes
1.5.1. Life cycle of technology projects
1.5.2. Process Groups
1.5.3. Dynamics of process groups
1.6. Development of the technology project constitution act
1.6.1. Definition of the charter of incorporation of technology projects
1.6.2. Tools and techniques
1.7. Development of the plan for the design and management of technological projects
1.7.1. Definition of the plan for the design and management of technological projects
1.7.2. Tools and Techniques
1.8. Knowledge management of technological projects
1.8.1. Importance of knowledge management in technology projects
1.8.2. Tools and techniques
1.9. Monitoring the work of technology projects
1.9.1. Work monitoring and control
1.9.2. Follow-up reports on technology projects
1.9.3. Tools and techniques
1.10. Integrated control of changes in technological projects
1.10.1. Objectives and benefits of project change control
1.10.2. CCB (Change Control Board)
1.10.3. Tools and techniques
1.11. Delivery and closure of technology projects
1.11.1. Objectives and benefits of project closure
1.11.2. Tools and techniques
Module 2. Scope management of technology projects
2.1. Introduction to Scope Management
2.1.1. Scope of the Project
2.1.2. Product Scope
2.2. Fundamentals of Scope Management
2.2.1. Basic Concepts
2.2.2. Scope Baseline
2.3. Benefits of Scope Management
2.3.1. Stakeholder Expectation Management
2.3.2. Scoop Creep y Gold Plating
2.4. Considerations for Adaptive Environments
2.4.1. Types of Adaptive Projects
2.4.2. Scope Definition in Adaptive Projects
2.5. Scope Management Planning
2.5.1. Scope Management Plan
2.5.2. Requirements Management Plan
2.5.3. Tools and techniques
2.6. Gathering Requirements
2.6.1. Gathering and Negotiation of Requirements
2.6.2. Tools and techniques
2.7. Scope Definition
2.7.1. Project Scope Statement
2.7.2. Tools and techniques
2.8. Creation of the Work Breakdown Structure (WBS)
2.8.1. Work Breakdown Structure (WBS)
2.8.2. Types of EDT
2.8.3. Rolling Wave
2.8.4. Tools and techniques
2.9. Scope Validation
2.9.1. Quality vs. Validation
2.9.2. Tools and techniques
2.10. Scope Control
2.10.1. Project Management Data and Information
2.10.2. Types of Work Performance Reports
2.10.3. Tools and techniques
Module 3. Time management of technology projects
3.1. Estimated Duration of Project Tasks
3.1.1. Three-Point Estimation
3.1.1.1. Most Likely
3.1.1.2. Best-Case
3.1.1.3. Worst-Case
3.1.2. Analogous Estimate
3.1.3. Parametric Estimation
3.1.4. Bottom-up Estimates
3.1.5. Decision Making
3.1.6. Expert Judgment
3.2. Definition of Activities and Breakdown of Project Work
3.2.1. Decomposition
3.2.2. Define Activities
3.2.3. Breakdown of Project Work
3.2.4. Activity Attributes
3.2.5. List of Milestones
3.3. Sequencing of Activities
3.3.1. List of Activities
3.3.2. Attributes of the Activities
3.3.3. Method of Diagramming Provenance
3.3.4. Determination and Integration of Units
3.3.5. Advances and Delays
3.3.6. Network Diagram of the Project Schedule
3.4. Estimation of Activity Resources
3.4.1. Register of Assumptions
3.4.2. List of activities
3.4.3. Attributes of the Activities
3.4.4. Register of Assumptions
3.4.5. Lessons Learned Register
3.4.6. Project Team Assignments
3.4.7. Resource Breakdown Structure
3.5. Estimated Duration of Activities
3.5.1. Law of Diminishing Returns
3.5.2. Number of Resources
3.5.3. Technological Advances
3.5.4. Staff Motivation
3.5.5. Project Documentation
3.6. Schedule Development
3.6.1. Schedule Network Analysis
3.6.2. Critical Path Method
3.6.3. Resource Management
3.6.3.1. Resource Leveling
3.6.3.2. Stabilization of Resources
3.6.4. Advances and Delays
3.6.5. Schedule Compression
3.6.5.1. Intensification
3.6.5.2. Fast Execution
3.6.6. Baseline Schedule
3.6.7. Project Timeline
3.6.8. Schedule Data
3.6.9. Project Schedules
3.7. Types of Relationships and Types of Dependencies between all Project Activities
3.7.1. Mandatory Dependencies
3.7.2. Discretionary Units
3.7.2.1. Preferred Logic
3.7.2.2. Preferential Logic
3.7.2.3. Soft Logic
3.7.3. External Units
3.7.4. Internal Units
3.8. Time Management Software in Technology Projects
3.8.1. Analysis of Different Software
3.8.2. Types of Software
3.8.3. Functionalities and Coverage
3.8.4. Uses and Advantages
3.9. Schedule Control
3.9.1. Job Performance Information
3.9.2. Schedule Forecasts
3.9.3. Change Requests
3.9.4. Update to the Time Management Plan
3.9.5. Project Document Updates
3.10. Time Recalculation
3.10.1. Critical Path
3.10.2. Calculation of Minimum and Maximum Times
3.10.3. Project Clearances
3.10.3.1. What Is It?
3.10.3.2. How to use it?
3.10.4. Total Slack
3.10.5. Free Slack
Module 4. Cost management of technology projects
4.1. What Is the Cost Management Plan?
4.1.1. Planning Tools and Techniques
4.1.2. Cost Planning Results
4.2. Estimate Costs. Types of Estimates. Reserve Analysis
4.2.1. Useful Information for Cost Estimation
4.2.2. Tools and Techniques for Cost Estimation
4.2.3. Results of Cost Budget Preparation
4.3. Types of Project Costs
4.3.1. Direct and Indirect Costs
4.3.2. Fixed and Variable Costs
4.4. Project Evaluation and Selection
4.4.1. Financial Dimensions of a Project
4.4.2. VAN
4.4.3. TIR & RRN
4.4.4. Payback period
4.5. Setting the Budget
4.5.1. Useful Information for the Preparation of the Project Budget
4.5.2. Tools and Techniques for Cost Budget Preparation
4.5.3. Results of Project Budget Preparation
4.6. Cost Projections
4.6.1. Cost Management Data and Information
4.6.2. Types of Cost Performance Reports
4.7. Earned Value Management Technique (EVM)
4.7.1. Base Variables and Status Variables
4.7.2. Forecasts
4.7.3. Emerging Techniques and Practices
4.8. Project Cash Flow
4.8.1. Types of cash flows
4.8.2. Estimation of Net Cash Flows Associated with a Project
4.8.3. Discounted Cash Flows
4.8.4. Application of Risk to Cash Flows
4.9. Cost Control
4.9.1. Objectives and Benefits of Cost Control
4.9.2. Tools and techniques
Module 5. Quality management of technological projects
5.1. Importance of Quality Management in Projects
5.1.2. Key Concepts
5.1.3. Difference between Quality and Grade
5.1.4. Precision
5.1.5. Accuracy
5.1.6. Metrics
5.2. Quality Theorists
5.2.1. Edwards Deming
5.2.1.1. Shewart-Deming Cycle (Plan Do -Check-Act)
5.2.2. Continuing Improvement
5.2.3. Joseph Juran. Pareto Principle
5.2.3.1. Fitness-for-purpose” theory
5.2.4. “Total Quality Management” Theory
5.2.5. Kaoru Ishikawa (Herringbone)
5.2.6. Philip Crosby (Cost of Low Quality)
5.3. Regulations: ISO 21500
5.3.1. Introduction
5.3.2. Background and History
5.3.3. Objectives and characteristics
5.3.4. Process group - subject group
5.3.5. ISO 21500 vs. PMBOK
5.3.6. Future of the Standard
5.4. Emerging Trends and Practices in Quality Management
5.4.1. Policy Compliance and Auditing
5.4.2. Standards and Compliance
5.4.3. Continuing Improvement
5.4.4. Stakeholder Engagement
5.4.5. Recurring Retrospectives
5.4.6. Subsequent Retrospectives
5.5. Quality Management Planning
5.5.1. Cost-benefit Analysis
5.5.2. Multi-criteria Decision Analysis
5.5.3. Test Planning and Inspection
5.5.4. Flow Diagrams
5.5.5. Logical Data Model
5.5.6. Matrix Diagram
5.5.7. Interrelationship Digraphs
5.6. Quality Compliance and Noncompliance Costs
5.6.1. Compliance Costs
5.6.2. Non-compliance or Non-conformance Costs
5.6.3. Prevention Costs
5.6.4. Valuation Costs
5.6.5. Internal Failures
5.6.6. External Failures
5.6.7. Marginal Cost of Quality
5.6.8. Optimum Quality
5.7. Quality Management
5.7.1. Checklists
5.7.2. Analysis of Alternatives
5.7.3. Document Analysis
5.7.4. Process Analysis
5.7.5. Root Cause Analysis
5.7.6. Cause– and-effect Diagrams
5.7.7. Histograms
5.7.8. Scatter Plots
5.7.9. Design for X
5.7.10. Quality Improvement Methods
5.8. Quality Audits
5.8.1. What is an Internal Quality Audit
5.8.2. Different Types of Audits
5.8.3. Objectives of an Internal Audit
5.8.4. Benefits of Internal Audits
5.8.5. Actors Involved in Internal Auditing
5.8.6. Internal Audit Procedure
5.9. Quality Control
5.9.1. Verification Sheets
5.9.2. Statistical Sampling
5.9.3. Questionnaires and Surveys
5.9.4. Performance Reviews
5.9.5. Inspection
5.9.6. Product Testing/Evaluation
5.9.7. Retrospectives and Lessons Learned
Module 6. Management of technology project resources
6.1. Responsibilities and Role of Human Resources in Projects
6.1.1. Project Manager
6.1.2. Sponsor
6.1.3. Functional Director
6.1.4. Program Manager
6.1.5. Portfolio Manager
6.1.6. Team members
6.2. Management of Technological Resources
6.2.1. What are Technological Resources?
6.2.2. Optimization
6.2.3. Valorization
6.2.4. Protection
6.3. Human Resources Management Planning and Estimation of Resources for Activities
6.3.1. Resources Management Plan
6.3.1.1. Data Representation
6.3.1.2. Organizational Theory
6.3.2. Resource Requirements
6.3.3. Basis of Estimates
6.3.4. Resource Breakdown Structure
6.3.5. Resource Document Updates
6.4. Different Powers of the Project Manager
6.4.1. Power and Influence
6.4.2. Reward Power
6.4.3. Power of Punishment
6.4.4. Expert Power
6.4.5. Power of Reference
6.4.6. Formal Power of Attorney
6.4.7. Practical Exercises on How to use the Various Powers of the Project Manager
6.5. Acquisition of the Right Project Equipment for our Project
6.5.1. What is Equipment Acquisition?
6.5.2. Means of Equipment Acquisition
6.5.2.1. Hiring
6.5.2.2. Outsourcing
6.5.3. Decision Making
6.5.3.1. Availability
6.5.3.2. Costs
6.5.3.3. Experience
6.5.3.4. Skills
6.5.3.5. Knowledge
6.5.3.6. Capabilities
6.5.3.7. Attitudes
6.5.3.8. International Factors
6.5.4. Pre-assignment
6.5.5. Virtual Teams
6.6. Development of Interpersonal Skills (Soft Skills)
6.6.1. Leadership
6.6.2. Motivation
6.6.3. Communication
6.6.4. Influence
6.6.5. Group Facilitation
6.6.6. Creativity
6.6.7. Emotional Intelligence
6.6.8. Decision Making
6.7. Project Team Development
6.7.1. Recognition and Rewards
6.7.1.1. Preconditions to be Met for its Application
6.7.1.2. Create a Recognition and Reward System
6.7.2. Training
6.7.3. Coubication (tight matrix)
6.7.4. Communication technology
6.7.5. Team Building Activities
6.8. Project team management. Performance Evaluations, Management of Project Teams
6.8.1. Planning
6.8.2. Types of Assessments
6.8.2.1. Personal Evaluations 360º Evaluations
6.8.2.2. Equipment Evaluations
6.8.3. Variables Definition
6.8.4. Design of the Performance Evaluation System
6.8.5. Implementation and Training of Evaluators
6.9. Conflict Management and Resolution Techniques
6.9.1. What are Project Conflicts? Types
6.9.2. Cooperate and Resolve Problems (Collaborate/Problem Solve)
6.9.3. Compromise/Reconcile
6.9.4. Withdraw/Avoid
6.9.5. Smooth/Accommodate
6.9.6. Force/Direct (Force/Direct)
6.9.7. Practical Exercises to Know When to use Each Conflict Resolution Technique
6.10. Emerging Trends and Practices in the Management of Technology Project Resources
6.10.1. Methods for Resource Management
6.10.2. Emotional Intelligence (EI)
6.10.3. Self-organized Teams
6.10.4. Virtual teams/distributed teams
6.10.5. Considerations for Adaptation
6.10.6. Considerations for Agile/Adaptive Environments
Module 7. Communications and stakeholder management for technology projects
7.1. Communications Management Planning
7.1.1. Why Is a Communications Management Plan Important?
7.1.2. Introduction to Communications Management
7.1.3. Communications Analysis and Requirements
7.1.4. Dimensions of Communications
7.1.5. Techniques and Tools
7.2. Communication Skills
7.2.1. Conscious Emission
7.2.2. Active Listening
7.2.3. Empathy
7.2.4. Avoid Bad Gestures
7.2.5. Reading and Writing
7.2.6. Respect
7.2.7. Persuasion
7.2.8. Credibility
7.3. Effective, Efficient Communication and Types of Communication
7.3.1. Definition
7.3.2. Effective Communication
7.3.3. Efficient Communication
7.3.4. Formal Communication
7.3.5. Informal Communication
7.3.6. Written Communication
7.3.7. Verbal Communication
7.3.8. Practical Exercises on the use of Communication Types in a Project
7.4. Communications Management and Control
7.4.1. Project Communications Management
7.4.2. Communication Models
7.4.3. Communication Methods
7.4.4. Project Communications Channels
7.5. Emerging Trends and Practices in the Field of Communication
7.5.1. Evaluation of Communication Styles
7.5.2. Political Awareness
7.5.3. Cultural Awareness
7.5.4. Communication Technology
7.6. Stakeholder Identification and Analysis
7.6.1. Why is it Important to Manage Stakeholders?
7.6.2. Stakeholder Analysis and Registration
7.6.3. Stakeholder Interests and Concerns
7.6.4. Considerations for Agile and Adaptive Environments
7.7. Stakeholder Management Planning
7.7.1. Appropriate Management Strategies
7.7.2. Tools and techniques
7.8. Stakeholder Engagement Management. Management Strategy
7.8.1. Methods for Increasing Support and Minimizing Resistance
7.8.2. Tools and techniques
7.9. Monitoring of Stakeholder Involvement
7.9.1. Stakeholder Performance Report
7.9.2. Tools and techniques
Module 8. Technology project risk management
8.1. Introduction to Risk Management
8.1.1. Definition of Risks
8.1.1.1. Threats
8.1.1.2. Opportunities
8.1.2. Types of Risks
8.2. Basic Concepts
8.2.1. Severity
8.2.2. Attitudes Towards Risk
8.2.3. Individual Risk vs. General Risk
8.2.4. Risk Categories
8.3. Risk Management: Benefits
8.4. Trends in Risk Management
8.4.1. Non-Event Risks
8.4.2. Project Resilience
8.4.3. Risks in Agile and Adaptive Environments
8.5. Risk Management Planning
8.5.1. Develop the Risk Management Plan
8.5.2. Tools and techniques
8.6. Identification of Risks
8.6.1. The Project Risk Register
8.6.2. Tools and techniques
8.7. Perform Qualitative Risk Analysis
8.7.1. Qualitative Risk Analysis
8.7.1.1.Definición
8.7.1.2. Representation
8.7.2. Tools and techniques
8.8. Perform Quantitative Risk Analysis
8.8.1. Quantitative Risk Analysis: Definition and Representation
8.8.2. Tools and techniques
8.8.3. Modelling and Simulation
8.8.4. Sensitivity Analysis
8.8.5. Contingency Reserve Calculation
8.9. Risk Response Planning and Implementation
8.9.1. Develop Risk Response Plan
8.9.2. Types of Threat Strategies
8.9.3. Types of Strategies for Opportunities
8.9.4. Reserves Management
8.9.5. Tools and techniques
8.9.6. Implementation of Risk Response
8.10. Risk Monitoring
8.10.1. Risk Monitoring Concepts
8.10.2. Tools and techniques
Module 9. Technology project procurement management
9.1. Introduction to Acquisition Management
9.1.1. Definition of Contract
9.1.2. Legal Framework acquisitions
9.2. Basic Concepts
9.2.1. Definition of Contract
9.2.2. The Project Manager and the Contract
9.2.3. Main Activities
9.2.4. Centralized and Decentralized Contracting
9.3. Procurement Management: Benefits
9.3.1. Definition of the Acquisition Strategy
9.3.2. Types of Strategies
9.4. Acquisitions in Adaptive Environments
9.5. Types of Contracts
9.5.1. Fixed Price Contracts
9.5.2. Reimbursable Cost Contracts
9.5.3. Time and Materials Contracts
9.6. Procurement Documentation
9.6.1. Types of Documents in the Context of an Acquisition
9.6.2. Document Flows in Procurement Management
9.7. Negotiation with Suppliers
9.7.1. Supplier Negotiation Objectives
9.7.2. Negotiation Techniques with Suppliers
9.8. Procurement Management Planning
9.8.1. Procurement Management Plan
9.8.2. Tools and techniques
9.9. Procurement
9.9.1. Search, Selection and Evaluation of Bids
9.9.2. Tools and techniques
9.9.3. Bid Weighting Matrix
9.10. Procurement Monitoring and Control
9.10.1. Procurement Monitoring and Control Points by Contract Type
9.10.2. Tools and techniques
Module 10. PMP® or CAPM® certification and code of ethics. Emerging trends and practices in technology project management and governance
10.1. What is PMP®, CAPM® and PMI®?
10.1.1. What is PMP®,
10.1.2. CAPM®
10.1.3. PMI®
10.1.4. PMBOK
10.2. Advantages and Benefits of Obtaining PMP® and CAPM® Certification
10.2.1. Techniques and Tricks to Pass the PMP® and CAPM® Certification Exams on the First Attempt
10.2.2. pmi-isms
10.3. Professional Experience Report to PMI® (Project Management Technology Institute)
10.3.1. Becoming a PMI® Member
10.3.2. PMP® and CAPM® Certification Exam Entry Requirements
10.3.3. Analysis of the Student’s Professional Experience
10.3.4. Student Work Experience Report Help Template
10.3.5. PMI® Software Experience Report
10.4. PMP® or CAPM® Certification Examination
10.4.1. What is the PMP® or CAPM® Certification Exam Like?
10.4.2. Number of Scoring and Non-scoring Questions
10.4.3. Duration of the Exam
10.4.4. Passing Threshold
10.4.5. Number of Questions per Process Group
10.4.6. Qualification Methodology
10.5. Agile Methodologies
10.5.1. AGILE
10.5.2. Scrum
10.5.3. Kanban
10.5.4. LEAN
10.5.5. Comparison with PMI® Certifications
10.6. Software Development in Agile Methodologies
10.6.1. Analysis of the Different Software on the Market
10.6.2. Advantages and Benefits
10.7. Advantages and Limitations of Implementing Agile Methodologies in your technology projects
10.7.1. Advantages
10.7.2. Limitations
10.7.3. Agile methodologies vs. traditional tools
10.8. Code of Ethics in the Management of your Projects
10.8.1. Responsibility
10.8.2. Respect
10.8.3. Impartiality
10.8.4. Honesty
Module 11. Agile Technology Project Direction and Management
11.1. Project Management
11.1.1. Project Management
11.1.2. Phases of a Project
11.2. Project Direction According to the Project Management Institute
11.2.1. PMI and PMBOK
11.2.2. Project, Program and Project Portfolio
11.2.3. Evolution and assets of the processes of organizations working with projects
11.3. Process Management according to the Process Management Institute
11.3.1. Process Groups and Knowledge Areas
11.3.2. Process Matrix
11.4. Agile Methodologies for Project Management
11.4.1. Application Motivation
11.4.2. Agile Values and Principles of the Agile Manifesto
11.4.3. Application Scenarios
11.5. SCRUM for Agile Project Management: Framework Description
11.5.1. Agile Management Framework
11.5.2. Scrum Pillars and Values
11.6. SCRUM for Agile Project Management: Model Implementation
11.6.1. Framework Implentation
11.6.2. People, Roles and Responsibilities on Scrum
11.6.3. Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective and Sprint Refinement
11.7. SCRUM for Agile Project Management
11.7.1. Backlog Product Sprint Backlog and Incremental Backlog
11.7.2. Scrum Team Agreements
11.7.3. Performance Assessment
11.8. KANBAN for Agile Project Management
11.8.1. The Model
11.8.2. Kanban Method, Elements and Benefits
11.8.3. Typical Usage Scenarios
11.9. KANBAN for Agile Project Management: Model Implementation
11.9.1. Fundame
11.9.2. Application
11.9.3. Performance Assessment
11.10. Project Direction Model Selection
11.10.1. Criteria for Selecting a Management Model Type
11.10.2. Traditional Methods vs. Agile Methods
11.10.3. Conclusions
Module 12. Requirements Management and Process Analysis in Software Development Projects
12.1. Systems Analysis
12.1.1. Systems Analyst Functions
12.1.2. Software Development Cycle: SDLC and OO AGILE
12.1.3. SDLC, OO and Agile
12.2. Importance of Systems Analysis and Design
12.2.1. Information Systems
12.2.2. Integrating IT Technologies: HW and Software
12.2.3. Methodology Selection
12.3. Software Development Life Cycle
12.3.1. Campaigns and Types
12.3.2. Redemption and Drive
12.3.3. Types of Strategies
12.3.4. Digital Marketing Plan
12.4. Systems Model and Design: Integration
12.4.1. Dependencies with Other Operating Systems in the Organization
12.4.2. Integration Using Project Management Methodologies such as PMBOOK
12.4.3. Integration with Agile Methodologies
12.5. Requirements
12.5.1. Interactive Methods: Interviews, JAD and Questionnaires
12.5.2. Non-Interactive Methods: Observation and Revision Documents
12.5.3. Sampling Techniques: Sampling
12.6. Processes Analysis: DFDs
12.6.1. Multilevel DFD Development
12.6.2. DFD Types: Physical and Logical, Based on Events
12.6.3. DFD Partitioning
12.7. Processes Analysis: Data Dictionary
12.7.1. Creating Data Dictionaries Based on Previous DAFD
12.7.2. Data Dictionary Nomenclature
12.7.3. XML Creation for Data Exchange with Other Systems
12.8. Processes Analysis: Processes Specifications
12.8.1. Structured and Semi-structured Decisions
12.8.2. If-The-Else
12.8.3. Decision Tables and Trees
12.9. Importance of Design
12.9.1. Output Design
12.9.2. Input Design
12.9.3. Validating Design
12.10. Database Design
12.10.1. Normalization of Data
12.10.2. E-R Diagrams: One-to-many and Many-to-many Relationships
12.10.3. Destandardization
Module 13. Business Management: Technologies for Resource and Customer Management
13.1. Enterprise Information Management and Storage Systems
13.1.1. Enterprise Resource Planning
13.1.2. Customer Relationship Management
13.1.3. Enterprise Resource Planning vs. Customer Relationship Management
13.1.4. Enterprise Resource Planning and Customer Relationship Management in Business
13.2. Enterprise Resource Planning
13.2.1. Benefits of Enterprise Resource Planning in Companies
13.2.2. Implantation and Management
13.2.3. Enterprise Resource Planning Day-to-day
13.3. Enterprise Resource Planning and Management
13.3.1. ERP Modules
13.3.2. Enterprise Resource Planning System Types
13.3.3. Tools Available on the Market
13.4. Customer Relationship Management
13.4.1. Implementing Customer Relationship Management in Companies
13.4.2. Information System Design
13.4.3. Customer Relationship Management for Processes Implementation
13.5. Customer Relationship Management for Project Design
13.5.1. Current Situation
13.5.2. Sales or Loyalty
13.5.3. Customer Loyalty Profitability
13.6. Customer Relationship Management. Working with Information
13.6.1. Project Marketing and Management
13.6.2. Success Factors
13.6.3. Strategies
13.7. Customer Relationship Management. Communication Tools
13.7.1. Communication
13.7.2. The Information
13.7.3. Active Listening
13.7.4. Investment Strategies in Information Systems
13.8. Customer Relationship Management. Dissatisfied Customer Recovery
13.8.1. Detecting Errors in Time
13.8.2. Correcting and Remeding Errors
13.8.3. Customer Recovery and Continuous Improvement Process Design
13.9. IT Projects
13.9.1. Objectives
13.9.2. Enterprise Resource Planning and Customer Relationship Management for Attracting Customers
13.9.3. Projects Design
13.9.4. Assessing and Recording Results
13.10. Computer Project Development
13.10.1. Frequent Errors
13.10.2. Methodology
13.10.3. Segmentation and Processes
13.10.4. Education
13.10.5. Actions Design Applied to Customer Relationship Management and Enterprise Resource Planning
Module 14. IT Project Management and Control through Business Intelligence
14.1. Business Intelligence
14.1.1. Business Intelligence
14.1.2. Data Management
14.1.3. Data Life Cycle
14.1.4. Architecture
14.1.5. Applications
14.2. IT Project Management Using Analytical Techniques
14.2.1. Business Intelligence Selection
14.2.2. Advantages of Using Business Intelligence in Projects
14.2.3. Examples and Applications
14.3. Harvesting and Storage
14.3.1. Business Models and Data Models
14.3.2. Types of Storage
14.3.3. Storing Big Data in the Cloud
14.4. Massive Data and Information Processing
14.4.1. Types of Data Processing
14.4.2. Techniques to Simplify Massive Processing
14.4.3. Cloud Processing
14.5. Analytical Techniques
14.5.1. Analytical Techniques
14.5.2. Predictive Analyses
14.5.3. Pattern Analysis and Recommendation
14.5.4. Scalable Machine Learning
14.6. Visualization for Decision Making
14.6.1. Visualization and Data Analysis
14.6.2. Data Science
14.6.3. Data Analysis Visualization
14.6.4. Reports Design
14.7. Business Information Consumption
14.7.1. Control Panel
14.7.2. KPI Design and Mining
14.7.3. Geographic Information
14.8. Security and Governance
14.8.1. Security/Safety
14.8.2. Governance
14.9. Real Applications to IT Projects
14.9.1. From Harvesting to Processing
14.9.2. From Analysis to Visualization
14.10. Project Management
14.10.1. Project
14.10.2. Requirements and Objectives
14.10.3. Start-up and Implementation
Module 15. IT Project Strategic Monitoring and Control
15.1. Data and Information in Decision Making and Project Management
15.1.1. Business Intelligence
15.1.2. Business Intelligence Concept Evolution
15.1.3. Data Life Cycle
15.2. Information Analysis Techniques
15.2.1. Descriptive Analytics
15.2.2. Prescriptive Analytics
15.2.3. Predictive Analytics
15.2.4. Pattern Analysis and Recommendation
15.2.5. Benefits of IT Projects Analysis
15.3. Types of Data
15.3.1. Structured Data
15.3.2. Semi-Structured Data
15.3.3. Unstructured Data
15.4. Storage and Management
15.4.1. Data Lake, Data Warehouse and Data Mart
15.4.2. Stages in Data Management: Mining, Processing and Loading
15.4.3. ETL and ELT Paradigm
15.5. Data Management for Project Implementation
15.5.1. Data Use in Project Design
15.5.2. Decision Making
15.5.3. Benefits
15.6. Business Intelligence Solutions: Power BI
15.6.1. Ecosystem
15.6.2. Potential Strengths and Weaknesses
15.7. Business Intelligence Solutions: Tableau
15.7.1. Ecosystem
15.7.2. Strengths and Weaknesses
15.8. Business Intelligence Solutions: Qlik
15.8.1. Ecosystem
15.8.2. Potential Strengths and Weaknesses
15.9. Business Intelligence Solutions: Prometheus
15.9.1. Ecosystem
15.9.2. Potential Strengths and Weaknesses
15.10. Future of Business Intelligence
15.10.1. Cloud Applications
15.10.2. Self-consumption Business Intelligence
15.10.3. Integration with Data Science: Value Creation
Module 16. Digital Analytics for Decision-Making in Technology Projects
16.1. Digital Analytics
16.1.1. Digital Analytics
16.1.2. Modus Operandi
16.2. Google Analytics: Analysis Tool
16.2.1. Google Analytics
16.2.2. Quantifying and Qualifying: Metrics and Dimensions
16.2.3. Analysis Objectives
16.3. Metrics
16.3.1. Basic Metrics
16.3.2. KPI (Key Performance Indicators) or Advanced Metrics
16.3.3. Objetive: Conversion
16.4. Dimensions
16.4.1. Campaign/Keyword
16.4.2. Source/Media
16.4.3. Contents
16.5. Google Analytics
16.5.1. Tool Set-up and Configuration
16.5.2. Current Versions: UA/GA4
16.5.3. Conversion Objectives: Conversion Funnels
16.6. Google Analytics Structure: Work Areas
16.6.1. Accounts
16.6.2. Properties
16.6.3. Views
16.7. Google Analytics Reports
16.7.1. In Real Time
16.7.2. Audience
16.7.3. Acquisition
16.7.4. Behaviour
16.7.5. Conversions
16.8. Google Analytics Advanced Reports
16.8.1. Personalised Reports
16.8.2. Panels
16.8.3. APIs
16.9. Filtering
16.9.1. Filtering and Segmentation: Usability
16.9.2. Predefined Segments and Personalized Segments
16.9.3. Remarketing Lists
16.10. Digital Analytics Plan
16.10.1. Measurement
16.10.2. Implementation in the Technological Environment
16.10.3. Conclusions
Module 17. Improving IT Projects and Businesses Using Analytical Techniques
17.1. Company Data Analytics
17.1.1. Company Data Analytics
17.1.2. Value
17.1.3. Project Management According to Value
17.2. Digital Marketing
17.2.1. Digital Marketing
17.2.2. Benefits of Digital Marketing
17.3. Digital Marketing: Preparation
17.3.1. Campaigns
17.3.2. Implementation and Measurement
17.3.3. Digital Strategy Variants
17.3.4. Planning
17.4. Digital Marketing: Implementation
17.4.1. Applications
17.4.2. Integration in Web Environments
17.5. Life Cycle
17.5.1. Customer Journey vs. Campaigns
17.5.2. Measurement
17.6. Data management
17.6.1. Datawarehouse and Datalab
17.6.2. Applications for the Generation of Campaign Bases
17.6.3. Drive Options
17.7. Campaign Exclusions
17.7.1. Types
17.7.2. GDPR and Robinson
17.7.3. Data Anonymization
17.8. Control Panels
17.8.1. Audience
17.8.2. Story-Telling
17.8.3. Applications
17.9. Value Conclusions in Data Analytics:
17.9.1. Customer Global Vision
17.9.2. Analysis Strategy and Types
17.9.3. Applications
17.10. Application in Business Scenarios
17.10.1. Wallet Clustering
17.10.2. Predictive Risk Models
17.10.3. Wallet Customers Characterization
17.10.4. Image Processing
17.10.5. Bid Proposal Forms
Module 18. Quality in Software Project Management and Implementation
18.1. Software Quality
18.1.1. Methodologies and Standards
18.1.2. Software Quality Reports: Standish Group CHAOS Report
18.1.3. Software quality certifications: ISO and AENOR
18.2. Secure Codification
18.2.1. Codification: Reasons and Types of Codes
18.2.2. Codification Rules
18.3. Data Quality Via Input Validation
18.3.1. Efficient Data Capture
18.3.2. Data-Entry Models: OCR, Keyboard, RFID, etc
18.3.3. Data Validation Tests
18.4. Total Quality Management: Six Sigma
18.4.1. TQM
18.4.2. Six Sigma: Methodology and Culture
18.4.3. Top-Down Design Systems and Modular Programming
18.4.4. Documentation: FOLKLORE Documentation Method
18.5. Tests, Maintenance and Audits
18.5.1. Test Processes
18.5.2. Using Test Data
18.5.3. Audits and External Auditing
18.6. Quality of Network Implemented Products
18.6.1. Client-Server Technology
18.6.2. Cloud Computing Technology
18.7. User Training
18.7.1. User training strategies
18.7.2. Training Guide
18.8. Conversion/Migration to New Systems Strategies
18.8.1. Migration Strategies: Parallel, Gradual
18.8.2. Migration/Conversion Plans
18.8.3. Data Owners Management
18.9. Security/Safety
18.9.1. Physical and Logical Security: Document Destruction
18.9.2. E-Commerce
18.9.3. Disaster-Recovery Plans
18.10. Assessment
18.10.1. Quality Assessment Techniques
18.10.2. Evaluation in Web Environments
Module 19. Regulatory compliance for information security in technology projects
19.1. Data Protection Regulation
19.1.1. Regulatory Framework
19.1.2. Subjects Obliged to Comply with the Regulations
19.1.2.1. Controllers, co-responsible parties and persons in charge of treatment
19.1.3. Data Protection Officer
19.2. Treatment of Personal Data
19.2.1. Fairness, Loyalty and Transparency
19.2.2. Purpose Limitation
19.2.3. Data Minimisation, Accuracy and Limitation of Retention Period
19.2.4. Integrity and Confidentiality
19.2.5. Proactive Responsibility
19.3. Data Protection by Design and by Default
19.3.1. Data Pseudonymization
19.3.2. Data Minimization
19.3.3. Organizational Measures in Accordance with the Purpose of Processing
19.4. Bases of lawfulness or legitimacy and authorizations for data processing data communication
19.4.1. Consent
19.4.2. Contractual Relationship or Pre-contractual Measures
19.4.3. Fulfillment of a Legal Obligation
19.4.4. Protection of Vital Interests of the Data Subject or Another Person
19.4.5. Public Interest or Exercise of Public Powers
19.4.6. Legitimate Interests: Interest Weighting
19.5. Individuals Rights
19.5.1. Transparency and Information
19.5.2. Access
19.5.3. Rectification and Deletion (Right to be Forgotten), Limitation and Portability
19.5.4. Opposition and Automated Individual Decisions
19.5.5. Limits to Rights
19.6. Risk Analysis and Management of Personal Data Processing
19.6.1. Identification of Risks and Threats to the Rights and Freedoms of Individuals
19.6.2. Risk Assessment
19.6.3. Risk Management Plan
19.7. Techniques for Ensuring Compliance with Data Protection Regulations
19.7.1. Identification of Proactive Accountability Measures
19.7.2. Processing Activities Register
19.7.3. Security Breach Management
19.7.4. Codes of Conduct and Certifications
19.8. The Data Protection Impact Assessment (DPA or DPIA)
19.8.1. EIPD Needs Assessment
19.8.2. Evaluation Methodology
19.8.3. Identification of Risks and Threats
19.8.4. Prior Consultation with the Supervisory Authority
19.9. Information Security
19.9.1. Security Regulatory Framework
19.9.2. ICT Security Products Assessment and Certification
19.9.3. STIC Products and Services Catalog (CPSTIC)
19.10. Control Authorities. Violations and Penalties
19.10.1. Violations
19.10.2. Fines
19.10.3. Penalty Procedure
19.10.4. Control Authorities and Cooperation Mechanisms
Module 20. Team Management in IT Projects
20.1. Team Management
20.1.1. Management Skills
20.1.2. Human Capital Management and Managerial Functions
20.1.3. Classification and Types of Management Skills
20.1.4. Group Leadership Management in Companies
20.2. Team Building
20.2.1. Team Management
20.2.2. Performance Evaluation
20.2.3. Delegation and Empowerment
20.2.4. Commitment Management
20.3. Work Teams
20.3.1. Culture: Mission, Vision, Values
20.3.2. Planning and Strategy
20.3.3. Organization and Monitoring
20.3.4. Feedback and Feedforward
20.3.5. Results Assessment
20.4. Stages in Team Training
20.4.1. Dependence Stage
20.4.2. Counter-Dependence Stage
20.4.3. Independence Stage
20.4.4. Interdependence Stage
20.5. IT Project Organization
20.5.1. Company Planning
20.5.2. Time Planning
20.5.3. Resource Planning
20.5.4. Costs Planning
20.6. Talent Management in the company
20.6.1. Talent
20.6.2. Talent Management
20.6.3. Talent Dimensions
20.6.4. Attracting Talent
20.7. Company Communication
20.7.1. The Company’s Communication Process
20.7.1.1. Internal Relationships and Communication of the company
20.7.1.2. Relationship between Company Organization and Communication: Centralization or Decentralization
20.7.1.3. Internal and External Communication Tools
20.7.2. Interpersonal Relations in the Company
20.7.2.1. Interpersonal Communication and Conflicts
20.7.2.2. Communication Filters and Barriers
20.7.2.3. Criticism and Active Listening
20.7.2.4. Active Listening Techniques
20.8. Negotiation Techniques in Companies
20.8.1. Negotiation at the Managerial Level in Technology Companies
20.8.1.1. Negotiation
20.8.1.2. Styles of Negotiation
20.8.1.3. Negotiation Phases
20.8.2. Negotiation Techniques
20.8.2.1. Negotiation Strategies and Tactics
20.8.2.2. Negotiation Types
20.8.3. The Figure of the Negotiating Subject
20.8.3.1. Negotiator Characteristics
20.8.3.2. Types of Negotiators
20.8.3.3. Psychology in Negotiation
20.9. Coaching and Business Management
20.9.1. Business Coaching
20.9.2. The Practice of Coaching
20.9.3. Coaching in Organizations
20.10. Mentoring and Business Management
20.10.1. Mentoring
20.10.2. The 4 Processes of a Mentoring Program
20.10.2.1. Processes
20.10.2.2. Mentors in Companies
20.10.2.3. Protégés in Technological Companies
20.10.3. Benefits of Mentoring in Companies
20.10.3.1. Benefits for the Organization: Mentor and Mentored
20.10.4. Differences between Mentoring and Coaching
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Thanks to this university degree you will be able to incorporate the most advanced digital techniques for decision making in Technological Projects"
Advanced Master's Degree in Technology Project Management
In an ever-changing technological environment, technology project management has become a crucial element for the success of any organization. At TECH Global University, a global leader in distance education, we offer you the Advanced Master's Degree in Technology Project Management program, taught by the prestigious Faculty of Computer Science, to provide you with the necessary tools to lead technology projects effectively and successfully, through a convenient virtual format. Through flexible classes that you can manage freely according to your availability, you will be able to acquire solid leadership, planning and control skills in the field of technology. We also have exclusive multimedia, highly qualified teachers and cutting-edge methodologies such as the Relearning system that will enhance your learning
In this Advanced Master's Degree, taught by the Faculty of Computer Science, you will learn to apply project management methodologies specific to the technological field, to identify and mitigate risks, to manage multidisciplinary work teams, to optimize resources and to ensure the quality and fulfillment of objectives in technological projects of various sizes. In addition, you will become familiar with the latest trends in technology and their application in projects, and you will develop leadership and communication skills to lead highly specialized work teams in the technological field.