IN3200 – High-Performance Computing and Numerical Projects
Course description
Schedule, syllabus and examination date
Course content
In this course, you will learn about the basic concepts of parallel programming and high performance computing, as well as the most basic communication commands in MPI and OpenMP programming guidelines. Students will gain the knowledge they need to effectively use modern data architecture to solve computationally high-tech scientific issues. Such knowledge is necessary in all subjects within computer science. In this course you will learn about understanding in the development and use of digital systems. You learn about different systems, the needs of users, and the societal importance of the systems and you learn how systems are developed from a software engineering perspective.
Learning outcome
After taking this course you will be:
- able to effectively use laptop / desktop computers to solve informational issues
- able to extend appropriate numeric code to computer clusters
- informed about groundbreaking non-CPU hardware
- possessing basic knowledge of advanced parallel computing
Admission to the course
Students at UiO register for courses and exams in Studentweb.
Special admission requirements
In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:
- Mathematics R1 or Mathematics (S1+S2)
The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).
Formal prerequisite knowledge
MAT1100 (or its equivalent) and at least one of the corresponding computing and programming courses:
INF1000/IN1000/INF1010/IN1010 or MAT-INF1100/MAT-INF1100L/BIOS1100/IN-KJM1900
Recommended previous knowledge
MAT1110, MAT1120
Overlapping courses
- 10 credits overlap with IN4200 – High-Performance Computing and Numerical Projects.
- 5 credits overlap with INF3380 – Parallell programming for scientific problems (continued).
Teaching
4 hours of lectures each week and 2 hours of group/lab each week for practical assignments and calculation projects.
Required submission of:
- a mandatory partial exam: a completed numerical problem, calculated for use with a common memory computer system
- a project with the ability to configure an individual project for each student with regard to the numerical problem, target parallel hardware and programming language
Read more about mandatory assignments and other hand-ins here
Examination
4 hours final written digital exam. All mandatory assignments must be approved before the exam.
It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN4200 – High-Performance Computing and Numerical Projects
Examination support material
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.