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Course module: JM0130-M-6
JM0130-M-6
Data Entrepreneurship in Action II
Course info
Course moduleJM0130-M-6
Credits (ECTS)6
CategoryMA (Master)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TISEM Other;
Is part of
M Data Science and Entrepreneurship (joint degree)
Contact personR. Medeiros de Carvalho
Lecturer(s)
Lecturer
M.D. Garrett
Other course modules lecturer
Lecturer
F.C.A. van Leeuwen
Other course modules lecturer
Coordinator course
R. Medeiros de Carvalho
Other course modules lecturer
Lecturer
dr. S.M. Mullick
Other course modules lecturer
Starting block
SM 2
Course mode
Full-time
Remarks-
Registration openfrom 10/01/2019 up to and including 31/07/2019
Aims
Objectives
After the completion of the course, students will be able to:
  • Interpret real-life designed problems and other subjects and/or systems around them and recognize how they can influence the solution;
  • Identify data science solutions that can be applied to the problems;
  • Propose a creative and integrative data-driven solution to a problem, including the management of the multi-disciplinary team;
  • Implement the technical solution;
Provide critical, constructive, and clear feedback and compare own work with that of fellow students.

Grading
The final grade consists of an individual component and a group component. Individual grades (IG) are based on feedback sessions (and it can go up or down 2.0 points from peer review) and group grades (GG) are based on final presentations and report submitted.
 
Final grade = 0.4*IG + 0.6*GG
 
Specifics
The courses from the Data Science and Entrepreneurship program require specific prior knowledge. It is only possible to participate in this course if approved by the admission committee and if you are enrolled for the program. Please note that this course will be taught in Mariënburg, ‘s-Hertogenbosch (JADS).
 
Content
Aims
This course is the second in the Data Entrepreneurship in Action series. In Data Entrepreneurship in Action II (DEiAII), you will focus on detecting important business problems, translating them into research questions and fashioning data science solutions for them. The course will enable students to find solutions to business problems in a scientific way, which will be helpful to them while launching start-ups or working in the industry.
 
Like the other courses in this series, this is a team-based project course where you can implement the learnings of the courses in this semester and in the previous semester. Note, working on business problems may require you to pick up some new skills that are pertinent for the problem that you are studying. In all such instances, the lecturers will point out relevant resources and guide you in the learning process. The task for the students is to technically analyze the data received by identifying the right techniques to use. The methodologies and techniques should be applied in an independent, reproducible manner. Students should also reflect on the validity of their results and the suitability of their approach. In addition, students need to justify why the particular problem they chose to focus on is valuable to the company or society, and this reflection will be relevant to the entrepreneurial aspect of the course

Objectives
After the completion of the course, students will be able to:
  • Interpret real-life designed problems and other subjects and/or systems around them and recognize how they can influence the solution;
  • Identify data science solutions that can be applied to the problems;
  • Propose a creative and integrative data-driven solution to a problem, including the management of the multi-disciplinary team;
  • Implement the technical solution;
  • Provide critical, constructive, and clear feedback and compare own work with that of fellow students.
Grading
The final grade consists of an individual component and a group component. Individual grades (IG) are based on feedback sessions (and it can go up or down 2.0 points from peer review) and group grades (GG) are based on final presentations and report submitted.
 
Final grade = 0.4*IG + 0.6*GG
 
Specifics
The courses from the Data Science and Entrepreneurship program require specific prior knowledge. It is only possible to participate in this course if approved by the admission committee and if you are enrolled for the program. Please note that this course will be taught in Mariënburg, ‘s-Hertogenbosch (JADS).
Timetable information
JM0130-M-6|Data Entrepreneurship in Action II
Required materials
-
Recommended materials
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Tests
Other_1

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Kies de Nederlandse taal