Course code INF120

INF120 Programming and Data Processing

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Showing course contents for the educational year 2022 - 2023 .

Course responsible: Oliver Tomic, Oliver Tomic
Teachers: Thomas Graff
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in the autum parallel. This course has teaching and evaluation during the autumn parallel.
Course frequency: Annually
First time: Study year 2009-2010
Course contents:

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.

Learning outcome:

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.

Learning activities:

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.

Teaching support:
The teaching assistants will assist and support the students during the computer exercise sessions.Course room on Canvas.
Syllabus:
Course literature will be announced at the start of the course.
Recommended prerequisites:
Mandatory activity:
Students must have obligatory exercises approved. Details be given at the beginning of the course. Obligatory activity must be performed the same year the exam is taken, i.e., obligatory activity from earlier years is not accepted.
Assessment:
Final written examination based (3 hours). A-F.
Nominal workload:
250 hours: 52h lectures + 26h computer exercise + 52h independent work in the computer lab + 80h work on obligatory exercises + 30h self study + 10h exam preparation
Entrance requirements:
Special requirements in science
Type of course:
  • Lectures: 52h
  • Computer exercise sessions: 26h
Examiner:
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: A1 No calculator, no other aids
Examination details: Written exam: Letter grades