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SF2565 Program Construction in C++ for Scientific Computing 7.5 credits

Administer About course

An advanced course on the object oriented implementation of program systems for Scientific Computing with focus on C++

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus SF2565 (Spring 2022–)
Headings with content from the Course syllabus SF2565 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Object-oriented programming, basic notions in, and syntax of, C++
  • Objects, classes and its definition, constructors and destructors
  • Operators, operator overloading, polymorphism
  • Basics of abstract classes, inheritance, generic programming
  • Selected components of the C++ standard library
  • Structured and unstructured grids, data structures for their implementation
  • Implementation of numerical methods for partial differential equations
  • Efficicient implementation of numerical algorithms

Computer lab work and project tasks.

Intended learning outcomes

The aim of the course consists of providing knowledge how advanced numerical methods and complex algorithms in Scientific Computing can be implemented in C++.

After completion of the course the students can

  • Construct simple classes for often used mathematical objects;
  • Create abstract classes and define simple template classes;
  • Implement data stryctures for manipulating realistic geometry and complex grids for numerically solving partial differential equations;
  • Optimize data structures and algorithms in C++ with respect to efficient computations for large-scale problems.

Literature and preparations

Specific prerequisites

English B / English 6
Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Recommended prerequisites

Advanced course in numerical analysis (SF2527, SF2528, SF2524, or similar)

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • PRO1 - Project, 3.5 credits, grading scale: P, F
  • TEN1 - Examination, 4.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

http://www.sci.kth.se/institutioner/math/avd/na/utbildning/hederskodex-for-studenter-och-larare-vid-kurser-pa-avdelningen-for-numerisk-analys-1.357185

Other requirements for final grade

Tentamen (TEN1; 4 hp).

Projekt (PRO1; 3,5 hp).

Examiner

Profile picture Katarina Gustavsson

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

SCI/Mathematics

Main field of study

Mathematics, Technology

Education cycle

Second cycle