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HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Business Administration
Semester:
2nd Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Prof. Lev Muchnik
Coordinator Office Hours:
TUESDAY 14:00-15:00
Teaching Staff:
Prof Lev Muchnik,
Dr. Ekaterina Yazhemsky
Course/Module description:
Student teams of five will choose a company from a list presented in the first class of the semester) in order to solve a challenging problem using an analytics approach. The team will be required to frame a problem together with the company, select a methodology to solve the question, collect relevant data, develop a model and test the validity of the results. Finally, the student teams will present their solutions to the company and in class.
Course/Module aims:
1. Gain practical experience in taking a business problem and solution through the complete analytics decision process.
2. Work on a real business problem, of critical importance to the company serving as sponsor.
3. Demonstrate skills in organization, teamwork, communication, and presentation.
Learning outcomes - On successful completion of this module, students should be able to:
At the end of the course students should be able to formulate a decision problem as a mathematical or statistical model, solve by using an appropriate software and present their results convincingly to their colleagues.
Attendance requirements(%):
80%
Teaching arrangement and method of instruction:
Meetings and discussions in class and with the company
Course/Module Content:
Mathematical modeling, solution algorithm development, programming, analyzing results, writing up case, presenting outcome
Required Reading:
Powell, S.J. and Batt, R.J., 2011. Modeling for insight: a master class for business analysts. John Wiley & Sons.
Provost, F. and Fawcett, T., 2013. Data Science for Business: What you need to know about data mining and data-analytic thinking. O'Reilly Media, Inc.
Additional Reading Material:
Grading Scheme :
Essay / Project / Final Assignment / Home Exam / Referat 40 %
Presentation / Poster Presentation / Lecture 25 %
Attendance / Participation in Field Excursion 15 %
Other 20 %
Additional information:
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