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2019/2020  KAN-CSCEO1820U  Business Analytics - Data Driven Operations

English Title
Business Analytics - Data Driven Operations

Course information
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
Max. participants 75
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Leonardo Santiago - Department of Operations Management (OM)
Main academic disciplines
  • Management
  • Statistics and quantitative methods
  • Supply chain management and logistics
Teaching methods
  • Face-to-face teaching
Last updated on 02-04-2020

Relevant links
Learning objectives
  • Display a high level of command of the topics presented in the course by outlining the important issues and choosing the appropriate model in relation to the problem under consideration.
  • Solve the models and analyze the solutions.
  • Evaluate possible alternative solutions for the problem under consideration and argue for the selection of the model that is better suited to solve the problem.
  • Identify the weaknesses and limits of their approach.
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)
Number of compulsory activities which must be approved: 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.
Examination
Business Analytics - Data Driven Operations:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Please see text below
No maximum number of pages, students have 4 hours to complete the assignment.
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

The exam consists of a number of exercises which need to be discussed and solved using excel. Exercises solved along the course together with the assigned curriculum, constitute the primary base for exam preparation.

 
Course content, structure and pedagogical approach

The course delves into operations management decision-making. The aim is to provide students with competences to develop 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: network design, demand forecasting, aggregate planning, inventory management, and supply chain coordination.

 

The course explores operations management problems through a number of cases and exercises. 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).

 

 

 
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.
Feedback during the teaching period
During lectures and exercises students interact with the teacher with respect to solving problems that are developed during the course.
Student workload
Preparation 121 hours
Lectures / exercises discussion 33 hours
Workshops 8 hours
Course overhead and exam preparation 40 hours
Examination 4 hours
Expected literature

Textbook:

  • Chopra, Sunil (2019) Supply Chain Management: Strategy, Planning & Operation, Pearson, Seventh Edition, Global Edition.

 

Additional material will be provided along the course.
Last updated on 02-04-2020