Innovation Management II

llsms2042  2024-2025  Louvain-la-Neuve

Innovation Management II
5.00 credits
30.0 h
Q1
Teacher(s)
Language
English
Prerequisites
This course is reserved for students with a bachelor's degree in business engineering or students with equivalent quantitative method skills.
This class cannot be taken without LLSMS2040
Main themes
See LLSMS2040
Learning outcomes

At the end of this learning unit, the student is able to :

1 See LLSMS2040
 
Content
See LSMS 2040
Teaching methods
See LSMS 2040
Evaluation methods
Evaluation criteria
  • Relevance, originality and ambition of the group project
  • Mobilization of key innovation management concepts and methods
  • Quality and scope of data, references and sources used
  • Professionalism and rigor of methodological approach
  • Ability to synthesize results and draw implications and limitations
  • Critical thinking, ability to nuance and entrepreneurial mindset
  • Clarity, style and structure of presentations (written and oral)
  • Compliance to guidelines
Continuous evaluation
  • Type of evaluation: Preparation of group readings and group work presentation
  • Comments: Compulsory attendance for group workshops and corporate testimonials
  • The evaluation includes class participation (up to two bonus points)
Evaluation week
  • Oral: No
  • Written: No
  • Unavailability or comments: No
Examination session (January)
  • Oral: No (See LSMS2040)
  • Written: No
  • Unavailability or comments: Teacher-run schedule
Students who fail the group work can have a second chance in September (submission of an improved group work with a summary of the improvements)
Use of content generation tools ("generative" artificial intelligence: Chatgpt & co)
Except when specifically authorized, the use of content generation tools should be limited to suggesting preliminary ideas (similar to using a search engine) or improving wording (similar to using a spell checker). If any part of the work is not an original contribution by the student(s), it should be clearly communicated using adequate referencing.
In particular, by submitting an assignment for evaluation, you assert the following:
The assignment accurately reflects the facts and you have verified those facts, especially if they originate from generative AI resources;
All your sources beyond common knowledge are properly attributed. Common knowledge is what a knowledgeable reader can assess without requiring confirmation from a separate source;
You have adhered to all specific requirements of your assigned work, in particular requirements for transparency and documentation of process, or have explained yourself where this was not possible.
If any of these assertions are not true, whether by intent or negligence, you have violated your commitment to truth, and possibly other aspects of academic integrity. This constitutes academic misconduct.
Other information
This class is coupled with LSMS 2040 Innovation Management I
Online resources
See LSMS 2040
Bibliography
See LSMS 2040
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] : Business Engineering

Master [120] : Business Engineering