Programming Techniques
7.5 ECTS creditsThe course covers basic problem solving in a high-level language.
The course comprises the following components:
-the structure and function of the computer
-basic syntax and semantics
-sequence, selection and iteration
-data types and references
-operators and expression
-error search and testing
-functions
-algorithms
-sorting and searching
-memory management
-recursion
-file management
-documentation techniques
The course comprises the following components:
-the structure and function of the computer
-basic syntax and semantics
-sequence, selection and iteration
-data types and references
-operators and expression
-error search and testing
-functions
-algorithms
-sorting and searching
-memory management
-recursion
-file management
-documentation techniques
Progressive specialisation:
G1N (has only upper鈥恠econdary level entry requirements)
Education level:
Undergraduate level
Admission requirements
General admission requirements plus upper secondary level Mathematics D, or equivalent.
General admission requirements plus upper secondary level Mathematics 3c, or equivalent
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Mathematics Programme (studied during year 1)
- Study Programme in IT-Design: Software Design (studied during year 1)
- Master of Science in Computer Engineering (studied during year 1)
- Master of Science in Industrial Engineering and Management (studied during year 2)
- Study Programme in Engineering - Computer Science (studied during year 1)
- Mechatronic Engineering (studied during year 1)
- Music and Sound Engineering (studied during year 1)
- Bachelor Programme in Computer Science (studied during year 1)
More information
Choose occasion
Campus, 50%
Options
- Start Autumn 2024
- Mode of study Campus
- Language Swedish
- Course code DVGA01
- Application code KAU-45462
- Study pace 50% (Day)
- Study period week 36鈥45
- Schedule
- Introductory Information
- Reading list