Kursens beskrivning

LEARNING OUTCOMES

After successfully completing this course, the students will:

1. Understand the basic concepts of optimization, implementation, and solution approaches.
2. Formulate their ideas and decide which model is the most computationally efficient way.
3. Recast their original model into LP, MILP, or convex models, if required.
4. How to struggle with the operating and planning problems and make their model as solver-friendly as possible.
5. Understand the basic concept of convex optimization, check the convexity of a model, and how to convexify a non-convex model.
6. Consider the existing uncertainties in the model via stochastic or robust programming approaches.
7. How to interpret the outcomes of the models. 

 

 

 

Credits: 5

Schedule: 29.02.2024 - 30.05.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Mahdi Pourakbari Kasmaei

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

• valid for whole curriculum period:

  The course will introduce Linear Programming (LP) problems and methodology, bilevel optimization, mixed-integer linear programming, the formulation and solving of non-linear programming and mixed integer nonlinear programming problems. Convex programming is covered, as are the non-deterministic techniques, stochastic and robust programming.

   

   

   

Assessment Methods and Criteria

• valid for whole curriculum period:

  The course evaluation will be based on graded homework exercises and assignments.

   

Workload

• valid for whole curriculum period:

  • Contact teaching
  • Material review and independent studies and work-based learning
  • Assignments
  • Excercise
  • Exercise review

   

DETAILS

Study Material

• valid for whole curriculum period:

  Presentation slides, and recommended textbooks; the presentation slides cover all the concepts. 

   

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

SDG: Sustainable Development Goals

7 Affordable and Clean Energy

9 Industry, Innovation and Infrastructure

11 Sustainable Cities and Communities

12 Responsible Production and Consumption

13 Climate Action

15 Life on Land

17 Partnerships for the Goals

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

   

   

   

   

  Teaching Language : English

  Teaching Period : 2022-2023 Spring IV - V
  2023-2024 Spring IV - V

  Enrollment :

  Registration for Courses on Sisu (sisu.aalto.fi).

   

   

   

Beskrivning