TE0004, Fundamentals of programming, 5.0 Hp
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Syllabus

Finalized by: PN-O, 2025-12-12
Valid from : Spring semester 2027 (2027-01-18)

Level

First cycle (G1N)

Main field of study

Engineering

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

Swedish

Entry Requirements

Objectives

The goal of this course is to provide a solid foundation in programming, computational thinking, and problem-solving. Through hands-on work, the students will gain experience translating tasks in an engineering context into solutions in a programming language.

Upon successful completion of the course, students will be able to

• Describe fundamental programming concepts, including variables, data types, operators, and control structures.
• Explain how programs use step-by-step instructions, conditional statements, and loops to execute tasks.
• Explain the purpose and limitations of basic data structures (lists, dictionaries) and simple error handling.
• Write, run, and debug functional programs, following coding standards and with meaningful comments.
• Apply conditional statements, loop conditions, and functions to write structured programs.
• Decompose larger tasks into smaller, manageable parts and implement solutions in a programming language.
• Communicate results from the assignments in written form.

Content

Subject-related content

This course provides first-year engineering students with a strong foundation in programming. No prior coding experience is necessary. The entire course will use the programming language Python, a versatile and industry-standard tool for engineering applications. The course content includes variables and data types, such as integers, floating-point numbers, booleans, and text; control flow, including conditional statements (if, else) and loops (for, while); functions for organizing reusable code, with parameters and return values; basic data structures, like lists (arrays) and dictionaries (key-value pairs), for managing collections of data; input/output operations and basic error handling; problem-solving and algorithmic thinking, including the use of pseudocode for designing solutions and essential testing and debugging methods for troubleshooting code.

Teaching formats

To further student learning and promote discussion, a variety of methods are used:

lectures, assignments, presentations, and project work.

The course focuses on the following generic competencies:

Critical thinking

Problem solving

Engineering methods

Oral and written communication

Teamwork

Digital competence

The following course components are mandatory:

Examination Formats and Requirements for Passing the Course

passed examination approved assignments approved written presentation of project work

Responsible Department/Equivalent

Department of forest bioeconomy and technology

Supplementary information

Included in program

• Bioresource Systems Engineering