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2023/2024 KAN-CSCEO1820U Business Analytics - Data Driven Operations
| English Title | |
| Business Analytics - Data Driven Operations |
Course information |
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| Language | English |
| Course ECTS | 7.5 ECTS |
| Type | Mandatory |
| Level | Full Degree Master |
| Duration | One Semester |
| Start time of the course | Spring |
| Timetable | Course schedule will be posted at calendar.cbs.dk |
| Study board |
Study Board for cand.merc. and GMA (CM)
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| Teaching methods | |
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| Last updated on 29-11-2023 | |
Relevant links |
| Learning objectives | ||||||||||||||||||||||||
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| Course prerequisites | ||||||||||||||||||||||||
| To follow the course with proficiency it is suggested to have basic knowledge of linear programming and statistics. However the fundamentals of the methodologies will be provided shortly along the course. | ||||||||||||||||||||||||
| Prerequisites for registering for the exam (activities during the teaching period) | ||||||||||||||||||||||||
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Number of compulsory
activities which must be approved (see section 13 of the Programme
Regulations): 1
Compulsory home
assignments
The student must get 1 out of 2 assignments approved in order to attend the ordinary exam. Examination form: Home written assignments Individual or group exam: Group exam Number of students in the group: 3-4 Up to a maximum of 9 pages per group Students will not have extra opportunities to get the required number of compulsory activities approved prior to the ordinary exam. If a student has not received approval of the required number of compulsory activities or has been ill, the student cannot participate in the ordinary exam. If a student prior to the retake is still missing approval for the required number of compulsory activities and meets the pre-conditions set out in the program regulations, an extra assignment is possible. The extra assignment is a 10 page home assignment that will cover the required number of compulsory activities. If approved, the student will be able to attend retake. |
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| Examination | ||||||||||||||||||||||||
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| Course content, structure and pedagogical approach | ||||||||||||||||||||||||
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The course delves into operations management decision-making. The aim is to provide students with competences to develop analytical solutions to relevant operations management problems, and thoroughly discuss their implications. Various aspects of operations management are considered and illustrated through a number of exercises.
The following areas of operations management are considered: supply chain strategy & design, demand forecasting, aggregate planning, inventory management, and supply chain coordination. To each of these areas, the course explores operations management problems through a number of cases and exercises. To solve the cases and exercises, the course explores how to formulate the problem, appraise the input data, identify the quantitative relations, and then implement the solution approach.
Microsoft Excel is used as a solving tool. Note that throughout the course, and in the exam, we will be using Windows PC on CBS computers (Apple users need to work by themselves to adapt to the Windows PC environment).
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| Description of the teaching methods | ||||||||||||||||||||||||
| The course follows a model building approach
constituted of four steps: problem formulation, identification of
quantitative relations, implementation and execution of the model
in Excel, discussion of the implications of model's solution.
For each topic, a number of problems are solved in class, using
Excel, and discussed. Teaching is practically oriented.
Lectures aims at framing the business and operations problem areas and then concentrate on exercises. Exercises allow students to acquire a better understanding on the type of data needed to reach a solution for the problem under consideration. Furthermore, the implications of the quality of data and how it impacts the solution of the problem at stake are thoroughly explored in classroom. Thus, exercises work as a mean to convey the theory, and to explore its implications and limits. The teaching method assures students involvement and participation. This is achieved by the use of exercises and assignments to be presented in class. |
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| Feedback during the teaching period | ||||||||||||||||||||||||
| Feedback will be offered during the course in three distinct ways. First, students will get feedback during the lectures in the form of interaction with the teacher if any question arises. During the workshops, students will receive one on one feedback on their individual inquiry (on demand). That is to say, during the workshops, students can request instructors to clarify their specific questions on the assignment and on the curriculum, in order to solve the exercises and problems that are to be addressed on that session. Third, also during the workshops, the instructor will provide summative feedback to the class by addressing the challenges perceived during the one on one interaction. It is expected that students actively participate in lectures, workshops, and exercises. Additional individual feedback can be obtained during the office hours. | ||||||||||||||||||||||||
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| Expected literature | ||||||||||||||||||||||||
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Textbook:
Additional material will be provided along the course. |
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Last updated on
29-11-2023