28 Probability courses delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Telecomms training course description A comprehensive tour of the telecommunications technologies and terminology currently in use, and under development. What will you learn List and describe components of the PSTN. Explain how calls are made over the PSTN Compare analog and digital transmission methods. Describe the technologies within the transport plane. Recognise the benefits of extra features available in today's telephone networks. Telecomms training course details Who will benefit: Anyone new to the Telecommunications industry. Prerequisites: None. Duration 2 days Telecomms training course contents Telephone network architecture Handsets, local loop, distribution points, Local exchanges, main telephone switches, PBXs. Making a call - some basics Telephone call components, how a telephone call works, accessing the local exchange, loop disconnect, DTMF, standards, E.164, PSTN routing, Intelligent Networks, Special Rate Services. Analogue vs Digital Voice characteristics, PSTN bandwidth, analogue signalling, Digital encoding, PCM and the 64k, ADPCM and other voice compression methods. PBXs PABX, Call processing, networking PBXs, PBX facilities, bandwidth, blocking probability and Erlangs, Erlang models, using Erlang tables. Transmission methods Two wire transmission, 64k circuits, Nx64, E1, 2 wire to 4 wire conversion, echo, echo suppression, echo cancellers, twisted pair, coax, fibre optic, power lines, satellite systems, microwave. Signalling Analogue signalling, loop start, earth calling, E&M, AC15. Digital signalling -CAS, robbed bits and E1 slot 16 signalling. Digital signalling CCS, Q.931, SS7, Q.SIG, DPNSS, DASS2. Transport planes PDH, PDH issues, SDH, SDH architecture, SDH standards, SDH bit rates, SDH mulitplexors, DWDM. Networks Circuit Switched Networks, TDM, Packet Switched Networks, Frame Relay, Message Switching, Circuit Switching, STDM, Cell Switching, ATM, ATM cells, ATM traffic parameters, ATM QoS, MPLS. Other network access Modems, modulation, speeds, ISDN, BRI, PRI, xDSL, SDSL, ADSL. Other Services Centrex, VPNs, FeatureNet, CTI, Call Processing Systems, Voice Mail, Automated Attendant Systems, Interactive Voice Response, Call Management Systems, Call Conferencing, Star Services. Mobile communications 3 types of wireless telephone, mobile generations, base stations, cells, GSM, GPRS, 3G, UMTS, WCDMA, 4G, LTE. VoIP overview What is VoIP, VoIP benefits, What is IP? The IP header, Packetising voice, VoIP addressing, H.323, SIP, RTP. Bandwidth requirements.

About this Virtual Instructor Led Training (VILT)  This 4 half-day Virtual Instructor Led Training (VILT) course will address a variety of contract and loan structuring issues associated with geothermal energy projects as well as comparison with solar, wind and battery storage. The course is designed to investigate how various project finance techniques and contract structures can be used to achieve a competitive power prices while maintaining a satisfactory equity return. Distinctive project finance features of power facilities that depend on geothermal, wind, hydro or solar resources will be evaluated with financial models. The course will cover economic analysis of exploration and development of geothermal facilities and how to incorporate probability of failure and success into an IRR framework. Subsequent sessions will address the theory underlying liquidated damages for delay, and performance as well as design of other incentives that is inherent in different contract structures. Nuanced project finance issues associated with structuring debt for renewable projects will be discussed including under what conditions the DSCR drives debt capacity and when the debt to capital ratio is instrumental. The course will be taught with a combination of theoretical discussions, term sheet review and focused financial models. Training Objectives Evaluation of the economic risks that arise from uncertainty associated with drilling exploration wells and development wells for geothermal projects. Analyse the theoretical issues with computing LCOE for geothermal projects compared to other renewable and non-renewable resources and the importance of cost of capital for renewable projects; Understand differences in contract structures for renewable projects and dispatchable projects and how a single price structure can distort incentives for efficient construction and operation; Understand components of financing that influence the bid price required to meet a required rate of return on equity and can result in relatively low prices with reasonable returns. Understand the importance of debt sizing constraints and what strategies are relevant when the debt to capital constraint applies relative to when the debt service coverage ratio drives the debt size; Understand how to compute P50, P90 and P99 for different projects driven by resource risk; Understand the difference between mean reverting resource variation and estimation mistakes that do not correct as the basis for 1-year P90 and 10-year P90. Understand under what conditions debt sculpting can affect returns and how synthetic sculpting can be used to increase returns when the DSCR constraint applies. Understand the theory of credit spreads, variable rate debt and interest rates in different currencies and compute the implied probability of default that in inherent in credit spreads. Understand how to evaluate the costs to equity investors and the benefits to lenders for various credit enhancements including DSRA accounts, cash flow sweeps and covenants. Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Trainer Your expert course leader provides financial and economic consulting services to a variety of clients, he teaches professional development courses in an assortment of modelling topics (project finance, M&A, and energy). He is passionate about teaching in Africa, South America, Asia and Europe. Many of the unique analytical concepts and modelling techniques he has developed have arisen from discussion with participants in his courses. He has taught customized courses for MIT's Sloan Business School, Bank Paribas, Shell Oil, Society General, General Electric, HSBC, GDF Suez, Citibank, CIMB, Lind Lakers, Saudi Aramco and many other energy and industrial clients. His consulting activities include developing complex project finance, corporate and simulation models, providing expert testimony on financial and economic issues before energy regulatory agencies, and advisory services to support merger and acquisition projects. Our key course expert has written a textbook titled Corporate and Project Finance Modelling, Theory and Practice published by Wiley Finance. The book introduces unique modelling techniques that address many complex issues that are not typically used by even the most experienced financial analysts. For example, it describes how to build user-defined functions to solve circular logic without cumbersome copy and paste macros; how to write function that derives the ratio of EV/EBITDA accounting for asset life, historical growth, taxes, return on investment, and cost of capital; and how to efficiently solve many project finance issues related to debt structuring. He is in the process of writing a second book that describes a series of valuation and analytical mistakes made in finance. This book uses many case studies from Harvard Business School that were thought to represent effective business strategies and later turned into valuation nightmares. Over the course of his career our key course expert has been involved in formulating significant government policy related to electricity deregulation; he has prepared models and analyses for many clients around the world; he has evaluated energy purchasing decisions for many corporations; and, he has provided advice on corporate strategy. His projects include development of a biomass plant, analysis and advisory work for purchase of electricity generation, distribution and transmission assets by the City of Chicago, formulation of rate policy for major metro systems and street lighting networks, advocacy testimony on behalf of low income consumers, risk analysis for toll roads, and evaluation of solar and wind projects. He has constructed many advisory analyses for project finance and merger and acquisition transactions. Lastly, our key course expert was formerly Vice President at the First National Bank of Chicago where he directed analysis of energy loans and also created financial modelling techniques used in advisory projects. He received an MBA specializing in econometrics (with honours) from the University of Chicago and a BSc in Finance from the University of Illinois (with highest university honours). POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

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Duration 2 Days 12 CPD hours This course is intended for This course is designed for all project managers and project team leaders. Overview At course completion, students will be able to identify, analyze, respond to, and control project risks. This course focuses on improving the project manager?s risk management expertise, from initial planning through project closure. Participants will apply all course principles to a work-related case study taken directly from their work environment. Risk Management Overview Risk Management Benefit and Uses Project Risk Management Project Management Life Cycle Initiating Process Group Initiating Process Group Overview Develop Project Charter Identify Stakeholders Project Selection Criteria ROI Analysis ROI Methods Risk Complexity Index Project Selection Planning Process Group Planning Process Group Overview Scope Risks Schedule Risks Resource Risks Plan Risk Management Identify Risks Delphi Technique Subject Matter Expert Input Brainstorming Fishbone Diagrams Process Analysis Five Whys Influence Diagrams Risk Breakdown Structure (RBS) Risk Register Perform Qualitative Risk Analysis Probability and Impact Assessment Probability and Impact Chart Perform Quantitative Risk Analysis Three point estimates PERT Triangular Distributions Outlier Considerations Geometric Mean Normal Distributions Methods Tornado Diagrams Expected Monetary Value (EMV) Monte Carlo Plan Risk Responses Risk Response Strategies Overall Project Risk Checklists Executing, Monitoring and Controlling Process Groups Executing Process Group Overview Monitoring and Controlling Process Group Overview Control Risks Project Monitoring Longer Projects Closing Process Group Closing Process Group Overview Close Project or Phase Risk Activities During Closing Process Group Post-Project Risk Assessment

Sessions Note that this will be a three-day course run on consecutive days and the date of day one is shown in the booking system schedule. Online event This online course will be delivered using CISCO Webex. You will need to have a good internet connection, a suitable device with a camera and microphone such as a laptop, and headphones. Level of study This Level 5 programme is the equivalent standard of a unit of a foundation degree or a unit of a first year of an honours degree. Details Students will gain a comprehensive knowledge and understanding of: The principles and objectives of Risk & Resilience management The legal and regulatory requirements and the role of the regulators in respect of Risk & Resilience, including the emergence of Cyber threat The interconnected impacts that changes in Risk & Resilience make The effect of climate change on Risk & Resilience strategy The objective and purposes of a Company’s risk and resilience strategy and management structure Where Risk & Resilience management sits in the company organisational structure The decision-making process in terms of Risk & Resilience management The role and nature of risk financing and the variables that influence the process The importance of building resilience in the context of Cyber threat The principles of Risk & Resilience and its relationship to contingency planning The use and merits of quantitative and qualitative techniques in risk and resilience management How to reduce risks to personnel and the business via the emergency and business continuity planning process How to understand individuals’ risk perception behaviours The factors that influence group attitudes to risk-taking The practical meaning of business resilience and its role in disaster recovery The range of technologies and the techniques for gathering data available to assist the management of Risk & Resilience The use of probability theory and the use of normal and binomial distribution numerical methods in Risk & Resilience management The principles of scenario planning in relation to Risk & Resilience The principles of Risk, Resilience and contingency planning in commissioning assets The principles of supply chain management in relation to risk and resilience The role of logistics in relation to Risk & Resilience How to prepare the business for pre and post-emergency situations Instructions This online course will be delivered using CISCO Webex. You will need to have a suitable device with a camera and microphone such as a laptop. If you have any questions about what is required please contact us on enquiries@learninganddevelopment.associates. Qualification All learners taking the qualification will need to produce identification to enable ProQual registration. This can take the form of a: Passport Driving Licence Construction Skills Certification Scheme Card (CSCS Card) Construction Plant Competence Scheme Card (CPCS Card) If none of the above are available to the learner, a photograph with a statement confirming their identity, dated and signed, along with a utility bill, would be acceptable.

Duration 2 Days 12 CPD hours This course is intended for There is no specific prerequisite for the CDRP© course. However, participants who have at least three years' experience in a data centre and/or IT infrastructures will be best suited. Overview After completion of the course, the participant will be able to: 1. Understand the different standards and methodologies for risk management and assessment 2. Establish the required project team for risk management 3. Perform the risk assessment, identifying current threats, vulnerabilities and the potential impact based on customised threat catalogues 4. Report on the current risk level of the data centre both quantitative and qualitative 5. Anticipate and minimise potential financial impacts 6. Understand the options for handling risk 7. Continuously monitor and review the status of risk present in the data centre 8. Reduce the frequency and magnitude of incidents 9. Detect and respond to events when they occur 10. Meet regulatory and compliance requirements 11. Support certification processes such as ISO/IEC 27001 12. Support overall corporate and IT governance Introduction to Risk Management Risk management concepts Senior management and risk Enterprise Risk Management (ERM) Benefits of risk management Data Centre Risk and Impact Risk in facility, power, cooling, fire suppression, infrastructure and IT services Impact of data centre downtime Main causes of downtime Cost factors in downtime Standards, Guidelines and Methodologies ISO/IEC 27001:2013, ISO/IEC 27005:2011, ISO/IEC 27002:2013 NIST SP 800-30 ISO/IEC 31000:2009 SS507:2008 ANSI/TIA-942 Other methodologies (CRAMM, EBIOS, OCTAVE, etc.) Risk Management Definitions Asset Availability/Confidentiality/Integrity Control Information processing facility Information security Policy Risk Risk analysis/Risk assessment/Risk evaluation/ Risk treatment Threat/Vulnerability Types of risk Risk Assessment Software The need for software Automation Considerations Risk Management Process The risk management process Establishing the context Identification Analysis Evaluation Treatment Communication and consultation Monitoring and review Project Approach Project management principles Project management methods Scope Time Cost Cost estimate methods Context Establishment General considerations Risk evaluation, impact and acceptance criteria Severity rating of impact Occurrence rating of probability Scope and boundaries Scope constraints Roles & responsibilities Training, awareness and competence Risk Assessment - Identification The risk assessment process Identification of assets Identification of threats Identification of existing controls Identification of vulnerabilities Identification of consequences Hands-on exercise: Identification of assets, threats, existing controls, vulnerabilities and consequences Risk Assessment - Analysis and Evaluation Risk estimation Risk estimation methodologies Assessment of consequences Assessment of incident likelihood Level of risk estimation Risk evaluation Hands-on exercise: Assessment of consequences, probability and estimating level of risk Risk Treatment The risk treatment process steps Risk Treatment Plan (RTP) Risk modification Risk retention Risk avoidance Risk sharing Constraints in risk modification Control categories Control examples Cost-benefit analysis Control implementation Residual risk Communication Effective communication of risk management activities Benefits and concerns of communication Risk Monitoring and Review Ongoing monitoring and review Criteria for review Risk scenarios Risk assessment approach Data centre site selection Data centre facility Cloud computing UPS scenarios Force majeure Organisational shortcomings Human failure Technical failure Deliberate acts Exam: Certified Data Centre Risk Professional Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Masterclasses? Refreshers? Introductions? It depends what you're looking for and where you want to pitch them, but here are six tried-and-tested highly focused sessions that organisations can take individually or as a series, to help develop their teams' project management capabilities one topic at a time. Objectives for each individual session are set out below, as part of the session outlines. Taken together, as a series, however, these modules are an ideal opportunity to develop your team's levels of project management capability maturity, whether that's by introducing them to the basic principles, refreshing them on best practice, or giving them the opportunity to really drill down into a specific area of challenge in your particular operating environment. Session outlines 1 Stakeholder management Session objectives This session will help participants: Understand why stakeholders matter to projects Be able to identify and engage stakeholders Be able to categorise stakeholders by their significance 1 Key principles What does 'stakeholder' mean - in theory? What does this mean in practice? Why stakeholders matter Consequences of missing stakeholders The stakeholder management process:IdentifyAssessPlanEngage 2 Identifying stakeholders Rapid listing CPIG analysis PESTLE analysis Drawing on the knowledge and experience of others Other ways to identify stakeholders 3 Assessing stakeholders Which stakeholders are significant? Stakeholder radar Power-interest maps Power-attitude maps 4 Planning The adoption curve Dealing with obstacles Who should engage which stakeholder? How should the project's organisation be structured? How will communication happen? 5 Engaging Seven principles of stakeholder engagement 2 Requirements and prioritisation Session objectives This session will help participants: Understand how clarity of requirements contributes to project success Use different techniques for prioritising requirements Agree requirements with stakeholders Manage changes to requirements 1 Understanding and managing stakeholder needs and expectations What are 'requirements'? What is 'requirements management'? Sources of requirements - and the role of stakeholders Are stakeholders sufficiently expert to specify their needs? Do they understand the detail of what they want, or do they need help to tease that out? What do stakeholders want to achieve? Working within constraints Prioritising requirements - three techniques 2 MoSCoW prioritisation 'Must have', should have', 'could have, 'won't have this time' When to use MoSCoW 3 The Kano Model Customer satisfaction - 'attractive' and 'must-be' qualities When to use Kano 4 Value-based prioritisation Understanding risk v value Using risk v value to prioritise features and schedules 5 Agreeing requirements Perfect v 'good enough' Establishing acceptance criteria Requirements traceability Agreeing project scope 6 Changing requirements Why requirements change Why change control matters Impact on projects A formal change control process Paying for change - managing change for different types of project 3 Estimating Session objectives This session will help participants: Understand the different purposes estimates satisfy Be able to use different estimating techniques Understand how to achieve different levels of accuracy 1 Key principles What's an estimate? Informed guesswork What needs to be estimated? Costs, resources, effort, duration Tolerances Precision v accuracy 2 Estimating through the lifecycle Start Plan Do 3 Early estimates Comparative ('analogous') estimating Parametric estimating Using multiple estimating techniques 4 Bottom-up estimating Bottom-up ('analytical') estimating Pros Cons 5 Three-point estimating Three-point ('PERT': Programme Evaluation and Review Technique) estimating Uncertainty and the range of estimates Calculating a weighted average Three-point with bottom-up 4 Scheduling Session objectives This session will help participants: Understand how to create a viable schedule Be able to use different forms of schedule Understand the concept of the critical path 1 Key principles The planning horizon Rolling wave planning Release planning 2 Viable scheduling Creating a viable schedule Define the scope Sequence the work Identify the risks and build in mitigations Identify the resources Estimate the effort and durations Check resource availability Refine until a workable schedule is produced 3 Critical path analysis The critical path Network diagrams Sequence logic Practical application:Network diagram with estimated durationsThe 'forward pass'The 'backward pass'Calculating total floatIdentifying the critical pathCalculating free float Gantt charts 5 Risk and issue management Session objectives This session will help participants: Understand the difference between risks and issues Be able to identify and assess risks Understand ways of mitigating risks Manage issues 1 Key principles Understanding risk Threats and opportunities The risk management processPreparation - proactive risk managementThe process - identify, assess, plan, implementStakeholder communication Roles and responsibilities Risk management strategy The risk register Risk appetite 2 Risk identification Brainstorming Interviews Assumption analysis Checklists 3 Risk assessment and prioritisation Probability, impact and proximity Triggers Qualitative risk assessment Qualitative impact assessment Qualitative probability assessment Probability / impact grid Bubble charts Risk tolerance 4 Planning countermeasures To mitigate or not to mitigate? Categories of risk response Avoid and exploit Reduce and enhance Transfer Share Accept Contingency Secondary risks 5 Issue management What is an issue? Tolerances Issues and tolerances The PRINCE2 view of issues Ownership of issues An issue management process Issue register 6 Budgeting and cost control Session objectives This session will help participants: Understand what to include in a budget - and why Choose - and use - the appropriate estimating technique Align the budget with the schedule Understand how to monitor spend and control costs Trouble-shoot effectively to get projects back within budget Session format Flexible. The session can be tailored to the participants' average level of project management maturity - a 60-minute session (delivered virtually) is an effective introduction. A 90-minute session allows for more in-depth treatment. A half-day session (face-to-face or virtual) gives time for a more challenging workshop, particularly to discuss specific cost control issues with any of the participants' current projects. 1 Where is the money coming from? Can we pay from revenue? Do we need to borrow? How long will the project take to pay back? The lifecycle of the budget Through-life costs Stakeholder involvement 2 Estimating costs Reminder: the relationship between estimates Reminder: possible estimating techniques What do we need to estimate?PeopleEquipmentMaterialsFacilities and operating costsWork package estimateEstimated project costs Estimating agile projects 3 Aligning budget and schedule Scheduling and financial periods Spreading the budget 4 Reserves and agreeing the budget Contingency reserve Management reserve Agreeing the budget 5 Cost control Planned spend over time Actual spend over time Work completed over time Evaluating different scenarios: delivery v spend 6 Trouble-shooting Why are we where we are? What has caused the project to spend at the rate it is? Why is it delivering at the rate it is? What are the root causes? What can we do about it?

The aim of this course is to provide project managers, project engineers and project support staff with a toolkit they can use on their projects. The tools range from the simple that can be used on all projects to the advanced that can be used where appropriate. This programme will help the participants to: Identify and engage with stakeholders Use tools for requirements gathering and scope management Produce better estimates using a range of techniques Develop more reliable schedules Effectively manage delivery DAY ONE 1 Introduction Overview of the programme Review of participants' needs and objectives 2 Stakeholder management Using PESTLE to aid stakeholder identification Stakeholder mapping The Salience model Stakeholder engagement grid 3 Requirements management Using prototypes and models to elucidate requirements Prioritising techniques Roadmaps Requirements traceability 4 Scope management Work breakdown structures Responsibility assignment matrix 5 Delivery approaches Sequential Agile 6 Estimating Comparative estimating Parametric Bottom-up Three-point estimating Delphi and Planning Poker Creating realistic budgets DAY TWO 7 Scheduling Critical path analysis Smoothing and levelling Timeboxing Team boards Monte Carlo simulations Probability of completion 8 People management Situational Leadership The Tuckman model Negotiation Conflict management Belbin 9 Monitoring and control Earned value management 10 Course review and action planning Identify actions to be implemented individually Conclusion PMI, CAPM, PMP and PMBOK are registered marks of the Project Management Institute, Inc.

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