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IE 424

Introduction to the Concepts and Dynamics of Innovation

IE 424 treats innovation as a system you can actually analyze rather than a vague buzzword — looking at how new ideas move from a creative spark through markets, organizations, and funding cycles, and why most of them die along the way. You'll work through two case studies, a project, and a midterm/final, with a lot of in-class discussion, role-play, and group presentations where you dissect real companies and pitch your own thinking. It sits on the strategic side of IE alongside the engineering management and entrepreneurship electives, and it's useful preparation if you're heading toward consulting, a startup, or any role where you have to argue why an idea is worth building.

Credit3ECTS5FacultyFaculty of EngineeringBölümIndustrial EngineeringPreIE 342 and MATH 260

Değerlendirme 100% — 6 adım

6%
9%
12%
30%
35%
8%
Case study Group Assignment 1, Group Assignment 2 15%
Project Group Assignment 3 12%
Midterm Midterm Exam 30%
Final Final Exam 35%
In-class participation Class Participation 8%

Haftalık müfredat 14 hafta

Hafta 1
Fundamentals of Innovation
Hafta 2
Quantitative Models in Innovation
Hafta 3
Business Plan & Strategy & Entrepreneurship
Hafta 4
Funding Types
Hafta 5
Environmental, Social & Governance (ESG), Fundamentals of Creative Thinking
Hafta 6
Innovation Impact Modeling
Hafta 7
Innovation Impact Modeling
Hafta 8
Kondratiev Waves
Hafta 9
New Trends & New KPIs
Hafta 10
New Trends & New KPIs
Hafta 11
Innovation Process, Business Process, Service and Product Design
Hafta 12
Business Process, Service and Product Design, Change Management, Leadership and Failures
Hafta 13
Check List for Innovators, Lecture Executive Summary
Hafta 14
Group Presentations & Class Evaluation

🤖 GenAI politikası

The application areas, development points, and industry potential of (Gen)AI are covered in the course. Therefore, AI usage is included in our course. However, in assignment outputs, AI can only be used as a tool to provide ideas, examples, further searching etc. Outputs are graded after usage of Turnitin and AI checks, and originality of the idea/work is sought and evaluated. The Generative AI policy guideline of Bilkent University can be found here: https://w3.bilkent.edu.tr/bilkent/generative

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Course Learning Outcomes: Course Learning Outcome Assessment

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