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Innovation and Project Management

Innovation and Project Management

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Course Information

Course Innovation and Project Management Code ILB1204
Directions 70610501 – Artificial Intelligence (Master)
70610304 – Data Science (Master)		 Semester 2
Type of subject Compulsory Taught Language English, Uzbek
Lectures 30 Practical Lessons 30
Subject Teacher PhD, Elmurod Quriyozov Independent Work 60
Total Hours 120 Credits 4

Lecture Topics

Code Topic Material
L1 Innovation in the Digital and AI Era Download
L2 Technology Readiness Levels (TRLs) and AI Maturity Models Download
L3 From Research Ideas to Fundable Project Concepts Download
L4 Innovation Ecosystems and Funding Landscapes Download
L5 Project Life Cycle and Governance in Funded Projects Download
L6 Agile and Hybrid Project Management for AI Projects Download
L7 Defining Project Objectives and Logical Frameworks Download
L8 Work Packages, Tasks, and Milestones in Innovation Projects Download
L9 Budgeting and Cost Planning for Innovation and AI Projects Download
L10 Risk Management in AI and Innovation Projects Download
L11 Ethics, Data Protection, and AI Governance Download
L12 Monitoring, Evaluation, and Reporting of Funded Projects Download
L13 Technology Transfer and Commercialization of Innovations Download
L14 Case Studies of AI and Digital Innovation Projects Download
L15 Capstone: Designing a Fundable AI Project Concept Download

Practical Lesson Topics

Code Topic Material
P1 Identifying Innovation Problems and AI Use-Cases Download
P2 Assessing TRL Levels and Innovation Readiness of AI Projects Download
P3 Formulating Fundable Project Ideas from Research Outputs Download
P4 Mapping Innovation Ecosystems and Selecting Funding Programs Download
P5 Defining Project Roles, Governance Structure, and Responsibilities Download
P6 Applying Agile and Hybrid Management Methods in AI Projects Download
P7 Writing Project Objectives and Logical Framework Matrices Download
P8 Designing Work Packages, Tasks, and Milestones Download
P9 Preparing Project Budgets and Cost Justifications Download
P10 Identifying and Analyzing Risks in AI and Innovation Projects Download
P11 Addressing Ethical, Legal, and Data Protection Requirements Download
P12 Developing Monitoring, Evaluation, and Reporting Plans Download
P13 Planning Technology Transfer and Commercialization Strategies Download
P14 Analyzing Real AI and Digital Innovation Project Case Studies Download
P15 Developing and Presenting a Fundable AI Project Proposal Download

Independent Study Topics

No. Topic
1 Review of Innovation Theories and Models in the Digital Economy
2 Technology Readiness Levels (TRLs) in EU and International Funding Programs
3 Comparative Analysis of Classical and Agile Project Management Approaches
4 Overview of World Bank, Erasmus+, and Government Innovation Funding Instruments
5 Problem Identification and Needs Assessment for AI Projects
6 Logical Framework Approach and Results-Based Management
7 Budget Structures and Eligible Costs in Funded Innovation Projects
8 Risk Management Frameworks for AI and Digital Innovation
9 Ethical Guidelines and Data Protection in Artificial Intelligence Projects
10 Monitoring and Evaluation Methods in International Projects
11 Technology Transfer Models and University–Industry Collaboration
12 Commercialization Pathways for AI and Digital Innovations
13 Sustainability and Impact Assessment of Innovation Projects
14 Proposal Evaluation Criteria Used by International Funding Agencies
15 Recent Trends and Best Practices in AI-Driven Innovation Projects

Main References

No. Reference
1 PMI (Project Management Institute). A Guide to the Project Management Body of Knowledge (PMBOK® Guide). 7th ed., Project Management Institute, 2021.
2 Kerzner, H. Project Management: A Systems Approach to Planning, Scheduling, and Controlling. 13th ed., Wiley, 2022.
3 European Commission. Horizon Europe Programme Guide. Publications Office of the European Union, latest edition.
4 OECD. Oslo Manual: Guidelines for Collecting, Reporting and Using Data on Innovation. 4th ed., OECD Publishing, 2018.
5 World Bank. Investment Project Financing (IPF): Operational Policy and Procedures. World Bank Group, latest edition.
6 Schwaber, K., & Sutherland, J. The Scrum Guide. Scrum.org, latest official version.
7 Cooper, R. G. Winning at New Products: Creating Value Through Innovation. 5th ed., Basic Books, 2019.
8 European Commission. Technology Readiness Levels (TRLs) — Guidance Document. Publications Office of the European Union.
9 High-Level Expert Group on AI (HLEG). Ethics Guidelines for Trustworthy Artificial Intelligence. European Commission, 2019.
10 Blank, S., & Dorf, B. The Startup Owner’s Manual: The Step-By-Step Guide for Building a Great Company. K&S Ranch, 2020.

Additional References

No. Reference
1 Merrow, E. W. Industrial Megaprojects: Concepts, Strategies, and Practices for Success. Wiley, 2011.
2 Turner, J. R. The Handbook of Project-Based Management. 4th ed., McGraw-Hill, 2014.
3 European Commission. Erasmus+ Programme Guide. Publications Office of the European Union, latest edition.
4 ISO. ISO 56002: Innovation Management System — Guidance. International Organization for Standardization, 2019.
5 Brynjolfsson, E., & McAfee, A. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company, 2016.
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