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2017/2018  BA-BSEMO1000U  Managerial Economics

English Title
Managerial Economics

Course information

Language English
Course ECTS 15 ECTS
Type Mandatory
Level Bachelor
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc in Service Management
Course coordinator
  • Leonardo Santiago - Department of Operations Management (OM)
Main academic disciplines
  • Managerial economics
  • Economics
Last updated on 30-06-2017

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors: To be awarded the highest mark (12), the student, with no or just a few insignificant shortcomings, must fulfill the following learning objectives:
  • The student should be able to account for selected theories
  • The student should be able to apply the correct theory on a given issue.
  • The student should be able to apply technical solution methods when solving a given issue.
  • The student should be able to illustrate the solution to a given issue.
  • The student should be able to use the correct course vocabulary.
  • The student should be able to reach a decision based on economic rationing.
Course prerequisites
English language skills equal to B2 level (CEFR) and math skills equal to Danish level B are recommended
Examination
Managerial Economics:
Exam ECTS 15
Examination form Written sit-in exam on CBS' computers
Individual or group exam Individual exam
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer
Aids Limited aids, see the list below:
The student is allowed to bring
  • Non-programmable, financial calculators: HP10bll+ or Texas BA II Plus
  • Language dictionaries in paper format
The student will have access to
  • Advanced IT application package
At all written sit-in exams the student has access to the basic IT application package (Microsoft Office (minus Excel), digital pen and paper, 7-zip file manager, Adobe Acrobat, Texlive, VLC player, Windows Media Player). PLEASE NOTE: Students are not allowed to communicate with others during the exam : Read more about exam aids and IT application packages here
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
The retake will be based on an assignment with exam questions. No case is uploaded prior to the reexam.
Description of the exam procedure

Additional aids: Microsoft Excel.

48 hours before the ordinary exam takes place an exam case is uploaded to LEARN including numbers but excluding questions. Only the questions for the ordinary exam will be based on the case. 

 

Course content and structure

The objective of this course is to provide the student with a thorough understanding of microeconomics applied to the problem of managerial decision-making. The first step in achieving this objective is to understand how to model economic behavior. The student will learn how a manager chooses production inputs based on marginal productivity, prices, and various other economic variables. The student will learn to develop an economic model through the use of algebra and basic calculus. The student will gain a feel for the art of choosing assumptions to set up and solve a meaningful problem. The second step in achieving the objective is to build an understanding of the many economic problems. The student will examine economic problems in consumer theory, production, technology, cost analysis, profit analysis, and market interactions. When the foundations of the course have been established they are applied in more complex settings like market structures, game theory, competition, pricing, and other managerial decision making models relevant to the service industry.

  
20 x Lecturing (L1-L20)
The course consists of 20 lectures (L1-L20) each of 3 x 45 minutes. The lectures will explore the core areas of the theory requiring a considerable amount of self-study. It is advisable with 4-6 hours of preparation for each lecture.
 
8x Active workshops (W1- W8)
Each workshop is 6 lectures of each 45 min. The workshops consist of cases in theoretical and empirical problems and are part of the curriculum. Naturally these active learning sessions will correspond to the content and headlines of the previous lectures. The workshops are very important for the learning process. All students have to answer and submit online 6 workshop-papers. The workshops can be solved individually or in groups but the online questions must be answered individually.

 

3 x Technical workshops

These workshops focus on updating and developing technical skills necessary to complete the course. There will be 2 mathematical workshops during a weekend in the beginning of the course and one Excel workshop. These workshops are extremely important in order to possess the skills necessary to get optimal learning out of the course and do good in the exam.

Teaching methods
Lectures, workshops and exercises
Feedback during the teaching period
Students should actively participate in lectures, workshops, and exercises.

Feedback will be provided during class discussions. Individual feedback can be obtained during the office hours.

The correction guide with solutions to the exam problems will be uploaded.
Student workload
Classes 60 hours
Workshops / exercises 48 hours
Technical workshops 18 hours
Preparation 320 hours
Examination 4 hours
Expected literature
  • ME: Mark Hirschey & Eric Bentzen, Managerial Economics, 14th edition, Cengage, 2016.
  • Math: Ian Jacques, Mathematics for Economics and Business, 7th edition, Pearson Education, 2012: Ch. 1-4. (Exercises in “MyMathLab Global”) 

Please note, minor changes may occur. The teacher will upload the final reading list to LEARN two weeks before the course starts.

Last updated on 30-06-2017