Mathematical Methods 2 ECON5162

  • Academic Session: 2025-26
  • School: Adam Smith Business School
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

Mathematical Methods 2 builds on the foundational techniques introduced in Mathematical Methods 1, focusing on advanced topics such as multivariate mathematical analysis, optimization, and solving dynamic systems (e.g., differential equations). The course provides essential mathematical tools required for understanding complex economic models and introduces small economic applications where these techniques can be applied. While students will continue to develop skills in proving mathematical statements, the emphasis shifts towards solving advanced mathematical problems with more direct relevance to economic theory.

Timetable

Synchronous:

 

Lectures : 2 hours per week for 10 weeks.

Tutorials: 1 hour in alternate weeks

 

Asynchronous:

Set of exercises (approximately 20 hours) that will include both theoretical, derivational, and applied type of questions with the corresponding solution guides.

Requirements of Entry

Students must be registered on one of the associated programmes listed in this course specification.

Excluded Courses

None

Co-requisites

None

Assessment

ILOs

Course Aims

The aims of this course are to:

1. Equip students with advanced mathematical tools, such as multivariate analysis, dynamic systems, and optimization techniques, required for economic modeling.

2. Develop students' ability to apply these advanced techniques to solve problems in dynamic economic systems, preparing them for applied research in economics.

3. Foster critical thinking and analytical skills by engaging students with mathematical problems and small applications in economics, with a focus on advanced methods.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1. Solve more complex mathematical problems that require the integration of multiple advanced mathematical techniques, such as multivariate analysis and optimization, applying these methods to economic examples where relevant.

2. Apply advanced methods of dynamic systems analysis, such as differential equations, to explore the behaviour of economic models over time, demonstrating an intuitive understanding of these techniques.

3. Demonstrate increased problem-solving ability, using intuition and mathematical reasoning to tackle applied problems in economics, while continuing to develop mastery of more advanced material.

Minimum Requirement for Award of Credits

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.