Introduction to Programming (5 cr)

Evaluation scale

H-5

Content scheduling

TOPICS / CONTENTS
week 3: Introduction
week 4: Built-in functions print and input, variables and types
week 5: Arithmetic and bitwise operators
week 6: Branching
week 7: Loops
week 8: Winter Break - no teaching
week 9: Breaking loops
week 10: Collections
week 11: Collections and loops
week 12: Functions
week 13: Function parameters and return values
week 14: Modularity and unit testing
week 15: GUI, events and callback functions
week 16: File IO (text and binary files)
week 17-: Basics of exception handling, try-except-finally, with

Objective

After completing the course, the student will be able to:
describe the program flow on a diagram
discuss the choice of an applicable solution model
define basic concepts related to programming such as source code, compiler, variable and type
read and understand the finished program code
utilize selection and loop structures
use exception handling mechanisms
design and implement simple application programs, and document and test them

Content

structure of software application
different development environments
reception of input data required in the program
processing of data on the program in order to solve the given problem
presentation of result
data variables and data types, simple data structures
functions and parameters
conditional clauses and loops
exceptions
file handling
testing and documentation of the program

Materials

Recommended literature:
Python Basics: A Practical Introduction to Python3 4th edition by David Amos,Dan Bader,Joanna Jablonski, Fletcher Heisler, ISBN:9781775093329 (paperback), ISBN:9781775093336 (electronic)

AI-Assisted Programming by Tom Taulli, Released April 2024, Publisher(s): O'Reilly Media, Inc., ISBN: 9781098164560

Programming tools
- Python 3.12.x
- Visual Studio Code (with Extensions)
- Git / Github
- Github Copilot or other AI programming assistants

Teaching methods

Learning by programming
Learning efficient and responsible use of AI programming copilots
Theory and practical examples shared during lectures
Practical understanding gained in practice sessions

Exam schedules

No exam

International connections

Students will learn theoretical concepts and gain programming good practices in lectures.
Students will put their understanding into practice in weekly assignments.

Course material will be entirely digital.

Student workload

Contact hours 14x2h (theory) + 12x2h (practice) = 52h
Independent study continuously throughout the course 80h

TOTAL approx. 130h

Theory lectures are held onsite.
Programming labs in subgroups A, B and C are also onsite.

Further information

ItsLearning
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