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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

The Scientific Approach to Innovation Management programme has specifically laid out systematic processes to make strategic decisions about innovative products or services that will help Innovators, Entrepreneurs, and Managers in the coming times to avoid common pitfalls. The course helps Entrepreneurs to understand if the idea they have in their head is worth it or not, whether they should pursue it or not, if it is able to develop into a fully-functional Practical and Economical Project.

To answer all of it, the programme teaches the students to analyse the feasibility of the seed of an Innovative Idea related to a Start-up or any Entrepreneur or some Project. The course does it all through problem- framing methods, and also uses deep Data Analysis. All of such processes and algorithms are collectively known as ‘Scientific Approach’- the sole motive of this course.

A Unique Selling Point of the programme is that it is structured to be Highly Interactive, including exercises related to real-life scenarios and real-world Applications of each topic. The harsh implications of the project idea are also showcased with the help of a varied range of examples and Case Studies, eventually accounting to a Scientific Approach to Innovation Management.

The Highlights

  • Flexible deadlines
  • 100% Online Course
  • Shareable certificate
  • Entire course in English
  • Course duration of 13 hours
  • Financial aid available
  • Flexible learning
  • Provided by University of Bocconi 
  • Certificate by Coursera

Programme Offerings

  • Exercises
  • Framed problems
  • Case Studies
  • instructor-led training.

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 2480yesCoursera

The fees for the A Scientific Approach to Innovation Management course is :

Type of Purchase

Amount 

Fee without a Certificate

NIL

Fee for Certification

Rs. 2,480


Eligibility Criteria

Certification Qualifying Details

Candidates will be issued with a certificate of completion once the programme is completed and that the candidate submits all that is required for this programme. An e-certificate will be given which is a shareable one.

What you will learn

Data science knowledge

The Scientific Approach to Innovation Management program is specially designed for Innovators, Management Enthusiasts, and Professionals. Countering common downfalls related to a Project. 

As the program successfully reaches the closure phase, candidates will learn and develop different skills that are mentioned below:

  • Problem-solving with a scientific approach
  • Evaluating the feasibility of an idea
  • Analyzing the feasibility of an innovative idea
  • Avoiding common pitfalls
  • Developing a practical and economical project

Who it is for

A multi-dimensional course, the Scientific Approach to Innovation Management programme caters to the professional requirements. This programme is ideal for people: 

  • Involved in Businesses who are a part in the process of Innovation and Development in their arena of work.
  • Entrepreneurs
  • Managers
  • Innovators

Admission Details

The Scientific Approach to Innovation Management programme procedure is very directive and simple. Students are only required to keep their card or Internet Banking Details handy.

Candidates may follow the given steps to register themselves:

Step 1: Visit https://www.coursera.org/learn/scientific-approach-innovation-management. Sign up using an Email ID and set up a strong alphanumeric password. 

Step 2: Click on ‘Enroll for Free.’

Step 3: Choose your programme type between ‘Full Course, No Certificate’ and ‘Purchase Course’. You can also apply for a ‘Financial Aid’.

Step 4: There is an extensive list of requirements for availing Financial Aid, and only their fulfilment will lead to its Procurement. Kindly check all the requirements before filling the form. Once you submit the form, its acceptance or rejection will be notified.

Step 5: If you want to pay for multiple courses, click on ‘Shop More’, else proceed with the checkout.

Step 6: The course will be added to the cart in case of ‘Purchase Course.’ Enter a coupon code, if available. Else, fill in your card details and check the billing options. 

Step 7: Finally click ‘Buy’. You can access the lessons after completing your transaction.

Step 8: In case of ‘Free Course, No certificate’, just signing in and registering will unlock the course.

The Syllabus

Videos
  • Welcome to the course
  • Operation efficiency vs strategic efficiency
  • What data can and cannot do
  • Strategic efficiency
  • What does the scientific approach do: the Galilean manager
  • Inkdome case
  • What is innovation
  • The structure of the innovation decision
  • Risk and Uncertainty
  • Type I and type II errors in innovation decisions
  • Interactive tour of the Museum of Failure
  • Antecedents of the Scientific Approach
  • The Building Blocks: THEED
  • Formulate and apply theories to managerial problems
  • Tools: business model canvas and other tools
Readings
  • Readings & Videos
  • Recap slides
  • Background material (extended slides)
Assignment
  • Week 1
Discussion Prompt
  • So much data, so little analysis...

Videos
  • Basic tools: probabilities
  • Conditional probabilities and the Bayes Theorem
  • The Scientific Approach: Theory and Mechanisms
  • Using the organization to set the decision rule
  • The Scientific Approach: summary and its use in practice
  • How to derive hypotheses from a theory
  • Hypotheses and their context [p values don’t always matter]
  • Cases
  • Design and logic of hypothesis testing (download the attached datasets)
  • The use of experiments in innovation management
  • Randomized Control Trials
  • Split and multivariate tests
  • Quasi Experimental Design
  • Innovation metrics
  • Metrics validity and reliability
  • Metrics validity
  • Metrics reliability
Readings
  • Readings & Videos
  • Recap slides
  • Background material (extended slides)
Assignment
  • Exercise 1
  • Exercise 2
  • Week 2
Discussion Prompt
  • Barriers to the adoption of a scientific approach to innovation management

Videos
  • Correlation vs causality
  • Regression analysis: Theory
  • Regression analysis: Application
  • Interview with Mimoto: paving the way for electric mobility using a scientific approach
  • Interview with Eni Gas and Power: leveraging big data to uncover customer preferences
  • Using data to answer important questions at Google
  • How firms and startups can gather and analyze data to test hypotheses
  • Reflection critical evaluation
Readings
  • Readings & Videos
  • Recap slides
  • Background material (extended slides)
Assignment
  • Week 3
Discussion Prompt
  • Reflecting on uncertainty

Videos
  • Difference-in-difference approach: Theory (download the attached datasets)
  • Difference-in-difference approach: Examples (download the attached datasets)
  • Instrumental variables: Theory (download the attached datasets)
  • Instrumental variables: Examples (download the attached datasets)
  • Data science vs causal links
  • Machine learning for innovation management decisions
  • Summary, conclusions, limitations of the scientific approach
Readings
  • Readings & Videos
  • Recap slides
  • Background material (extended slides)
Assignment
  • Week 4
Discussion Prompt
  • Discussing type 1 and type 2 errors

Peer Review
  • A Scientific Approach to Innovation Management - Final project

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