DRE 7033 Advanced Macroeconomics I

DRE 7033 Advanced Macroeconomics I

Course code: 
DRE 7033
Program of study: 
Course coordinator: 
Plamen Toshkov Nenov
Product category: 
PhD Economics courses
2020 Autumn
Active status: 
Teaching language: 
Course type: 
One semester

This half semester course aims to introduce students to the basic models and modeling tools in modern macroeconomics. We will start with core issues in the theory of consumption, followed by a rigorous introduction to the neoclassical growth model. In the process we will also cover dynamic optimization tools, which are extensively used in modern macroeconomics. 

Learning outcomes - Knowledge

After taking this course, students will be able to understand the main theoretical frameworks and apply the main modeling tools used in modern macroeconomics. Specifically, they will gain fundamental knowledge about:

  • Individual consumption-saving decisions;
  • Economic growth;
  • Dynamic programming applied to macroeconomic models.
Learning outcomes - Skills

Students should be able to:

  • Understand the basics of several workhorse models in macroeconomics.
  • Apply recursive methods to solve macroeconomic problems.
  • Solve recursive problems used in macroeconomic models. 
General Competence

Students should  be able to

  • develop an understanding of the main mechanisms and interactions involved in the functioning of the macroeconomy.
  • critically assess the underlying assumptions of the methods used. 
Course content


  • Introduction to the Consumption-Saving Model and Euler Equations
  • The Neoclassical Growth Model
  • Introduction to Dynamic Programming
  • Introduction to Numerical Dynamic Programming

There will be 5 lectures (15 lecture hours). In addition, 3 lecture hours will be used for exercises and for providing feedback to students on problem sets. Students are required to participate in class, as well as solve and hand in solutions to exercises and problem sets.

Teaching and learning activities

A course of 3 ECTS credits corresponds to a workload of  80-90 hours. 

Teaching activities include:

  • formal lectures;
  • practical exercises on the computer;
  • out-of-the-classroom discussions and consultations.

Learning activities include:

  • preparing with assigned readings and instructional content through other media (e.g. online videos) ahead of classroom sessions;
  • active participation in classroom discussions;
  • work on several problem sets, including computer exercises;
  • preparing for and taking the final written assessment.
Software tools

Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.

Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Form of assessment:
Written submission
Exam code:
DRE 70331
Grading scale:
Grading rules:
Internal and external examiner
Examination when next scheduled course
100No3 Hour(s)Individual .
Exam category:Submission
Form of assessment:Written submission
Grouping (size):Individual
Duration:3 Hour(s)
Exam code:DRE 70331
Grading scale:Pass/fail
Resit:Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
Student workload
Teaching on Campus
15 Hour(s)
Feedback activities and counselling
3 Hour(s)
Student's own work with learning resources
20 Hour(s)
Prepare for teaching
10 Hour(s)
Group work / Assignments
20 Hour(s)
5 Hour(s)
3 Hour(s)
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 3 ECTS credit corresponds to a workload of at least 80 hours.