Syllabus
Title
6063 Applications of Data Science
Instructors
ao.Univ.Prof. Dr. Andreas Mild
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/27/17 to 03/05/17
Registration via LPIS
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
The course gives an introduction into applications of Data science in the fields of Marketing and Supply chain management. In this course, both theoretical concepts and their applications will be covered. All analyses will be done using R.
After completing this course students will have knowledge about different areas of application for data science. Students will have a basic understanding of area specific challenges and algorithms. Students will learn about recent applications in retailing like recommender systems or automated pricing. Beside an understanding of the problem structure, students will learn to apply mathematical and statistical tools to support decision making. Apart from that, completing this course will contribute to the students’ ability to efficiently work and communicate in a team, work on solutions for complex practical problems by using modern statistical software.
The course will combine alternative ways to deliver the different topics to the students. On the one hand, a classical lecture style approach where the instructor presents the software will be used; on the other hand, students will have to solve hand on problems in class and as homework.
The final grade of the course will depend on
- homework assignments (40%)
- seminar paper (30%)
- paper presentation (30%)
Successful conclusion of the course 1 of SBWL Data Science.
Please be aware that for all courses in this SBWL registration is only possibly for students who successfully have completed the entry course (Einstieg in die SBWL: Data Science).
Note that for courses within the SBWL "Data Science" we can only accept students enrolled in one of WU's bachelor programmes who qualify for starting an SBWL; particularly, we cannot accept students from other courses and programmes enrolled at WU as 'Mitbeleger' only.
Last edited: 2017-04-25
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