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TDT4110

Information Technology, Introduction

Choose study year
Credits 7.5
Level Foundation courses, level I
Course start Autumn 2022
Duration 1 semester
Language of instruction Norwegian
Location Gjøvik, Ålesund and Trondheim
Examination arrangement School exam

About

About the course

Course content

The course gives an introduction to basic procedure-oriented programming in Python. Concepts covered are: Variables and data types, representation of numbers and its significance in calculations (such as rounding errors). Input and output. Control structures: Sequence, selection and repetition. Structuring and division of programs; functions and modules. Data structures: Strings, lists, tuples, tables, sets and records (dictionaries). File management, persistent storage of information, and exception handling. Basic understanding and use of the modules NumPy and Matplotlib for calculation and visualization.

Learning outcome

Knowledge:

  • K1: Can explain fundamental principles for digital representation of information.
  • K2: Can explain the central mechanisms for procedural programming in Python.
  • K3: Can explain fundamental algorithms for generic programming as well as for basic numerical calculations.

Skills:

  • S1: Be able to use the basic elements in practical, procedure-oriented programming, also by completing code where fragments are missing.
  • S2: Be able to use relevant programming tools, like IDLE or other syntax-driven editors with semantic error-tagging and step-wise execution with inspection of variables.
  • S3: Be able to explain your own code to others and give constructive feedback to others' code.

General competence: An ability to reflect on the use of programming for calculations within their own dicipline.

Learning methods and activities

Lectures, exercise lectures, mandatory exercises.

Compulsory assignments

  • Exercises

Further on evaluation

In the event of a re-sit examination, the examination may be changed to an oral examination.

Course materials

Announced at the start of semester.

Credit reductions

Course code Reduction From
TDT4105 7.5 sp
TDT4109 7.5 sp Autumn 2019
TDT4127 5 sp Autumn 2019
TDT4111 5 sp Autumn 2022
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Computer Science