Course syllabus - Computer Programming with Python
Scope
7.5 credits
Course code
DVA143
Valid from
Autumn semester 2025
Education level
First cycle
Progressive Specialisation
G1N (First cycle, has only upper-secondary level entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2025-01-16
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
Objectives
The "Computer Programming with Python" course is an introductory programming course. It provides basic knowledge in structured programming and program construction using the Python programming language. The course also introduces how to communicate with Hypertext Transfer Protocol-based Application Programming Interfaces (web services) using Python scripts.
Learning outcomes
After completing the course, the student should be able to:
1. explain basic language elements,
2. use the language's standard library,
3. understand how to extend the language's functionality with third-party libraries,
4. solve a problem by constructing a structured program and
5. explain how to call and interpret responses from web services using Python.
Course content
Programming Techniques: Basic knowledge of structured programming techniques as well as problem-solving and debugging.
Programming Language: Basic language elements such as data types, logical operators, selection, iteration, loops, functions, file handling, and input/output.
Web Services: JavaScript Object Notation and RESTful Application Programming Interfaces.
Requirements
Basic eligibility and Mathematics 3b or 3c or Mathematics C
Examination
Laboratory work (LAB1), Laboratory series continuously reported according to instructions, 5 credits, examines the learning outcomes 1-5, marks Fail (U) or Pass (G).
Written examination (TEN1), 2.5 credits, examines the learning outcomes 1-4, marks Fail (U), 3, 4 or 5.
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail
Interim Regulations and Other Regulations
The course completely overlaps with DVA128 Computer Programming with Python.