INF120 Programming and Data Processing
There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.
Showing course contents for the educational year 2014 - 2015 .
Course responsible: Hans Ekkehard Plesser
ECTS credits: 10
Faculty: Department of Mathematical Sciences and Technology
Teaching language: NO
Limits of class size:
Teaching exam periods:
This course starts in the spring parallel. This course has teaching and evaluation during the spring parallel.
Course frequency: Annually
First time: 2009V
The course will introduce you to programming and data processing with a focus on procedural programming in a high-level programming language. Specific topics are:
- simple datatypes (numeric, boolean, character)
- basic composite datatypes (strings, arrays, lists, dictionaries)
- basic aspects of classes
- control structures (branching, loops, list comprehensions)
- functions and parameter exchange
- recursive functions
- reading from/writing to files
- data analysis and -visualization
- basic error handling
- structuring of problem solutions
- localization of errors in programs
- editing, debugging
The course is based on the Python programming language.
After completing the course, you will know how to:
- independently develop programs of limited complexity
- read and understand programs at an equivalent level of complexity
- analyse simple problems and implement algorithms to solve them
- develop programs to analyze and visualize data
- localise errors in programs
- use basic programming tools
You will have acquired a basic knowledge of the higher level programming language used in the course. You will be able to evaluate the suitability of programs of limited complexity.
Lectures: Presentation of the concepts behind programming, as well as the programming language. Analysis and solution of programming tasks.
Computer exercises: Students train concepts presented in the lecture through simple programming tasks solved in the computer lab with assistance.
Compulsory programming problems: By solving programming problems, the student practises analysing problems independently and implementing solutions as programs.
Independent study: Repetition of the material covered in the lectures and programming on your own.
The teaching assistants will assist and support the students during the computer exercise sessions.Course room on Fronter.
Hans-Petter Langtangen, A Primer on Scientific Programming with Python, Springer Verlag. The course covers most of ch. 1-8 of the book (3rd edition).
Students must get a sufficient number of obligatory exercises approved. More information will be given at the beginning of the course.
Final written examination based (3 hours).
300 hours: 52h lectures + 26h computer exercise + 52h independent work in the computer lab + 104h work on obligatory exercises + 52h self study + 14h exam preparation
Special requirements in science
Reduction of credits:
INF110: reduces the number of credits (sp) to 5.
Type of course:
- Lectures: 52h
- Computer exercise sessions: 26h
The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.
Allowed examination aids: No calculator, no other aids
Examination details: One written exam: A - E / Ikke bestått