Syllabus for Computer Programming I

Programmeringsteknik I

A revised version of the syllabus is available.

  • 5 credits
  • Course code: 1TD433
  • Education cycle: First cycle
  • Main field(s) of study and in-depth level: Computer Science G1N, Technology G1N

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2007-03-19
  • Established by:
  • Revised: 2019-02-11
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2019
  • Entry requirements:
  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course the student shall be able to:

  • explain the fundamental concepts module, function, class, object and related sub concepts;
  • analyse and solve problems using programming constructions;
  • explain what a Python program does;
  • use existing modules and write programs in Python containing several concurrent components;
  • write program with several coupled classes;
  • use a programming environment;
  • test and debug a program.

Content

Introduction to programming: the purpose of programming, programming in a context e.g. through applications, programmer's perspective on a computer system, programming environments.

Algorithms: the program as an algorithm, the difference between algorithms in real-life vs. in a computer program.

Structure of code: the concept module, function, class, object, scope (including to distinguish between the scopes local, global, class, instance).

Algorithm components: assignment, sequence, selection, iteration. Arithmetic and logical expressions, terminal I/O. Typical idioms in Python.

Programming: write programs, functions, classes and to use existing modules. The program flow.

Programming techniques: implementation, testing, debugging and documentation.

Instruction

Lectures, problem classes and computer lab, assignments.

Assessment

Written examination (2 credits) and approved assignments (3 credits).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

The reading list is missing. For further information, please contact the responsible department.

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