Syllabus

LEARNING OUTCOMES

After completing the course, the student

• can identify and describe basic models and simulation techniques that are frequently used to solve physical problems in various fields of computational physics, such as quantum, statistical, condensed matter or materials physics
• can use these approaches to solve their own computational physics problems
• can implement these tools into their own codes

Credits: 5

Schedule: 11.01.2024 - 30.05.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Adam Foster, Patrick Rinke

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:

  Understand and implement various models appearing in computational quantum, statistical condensed matter and materials physics. 

Assessment Methods and Criteria

• valid for whole curriculum period:

  Graded assignments.

Workload

• valid for whole curriculum period:

  Computational assignments with support sessions.

DETAILS

Study Material

• valid for whole curriculum period:

  Provided within course.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

SDG: Sustainable Development Goals

4 Quality Education

8 Decent Work and Economic Growth

9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  See MyCourses page for detailed information.

  Teaching Language : English

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

  Enrollment :

  Registration for courses will take place on Sisu (sisu.aalto.fi).

Description