Introduction to programming

Level of Study

Bachelor

Teaching semester

Autumn and spring

Objectives and Content

Objectives:
The course aims to give the students a thorough and practical introduction to programming by means of a contemporary programming language.

Content:
The course covers central concepts including e.g. variables, expressions, control flow, arrays, and file processing. The lab work consists of compulsory assignments, which are an important part of the course. In several lab sessons, real-life problems from various natural sciences will be solved.

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge and skills:

Knowledge
The student

• knows the principles of algorithmic thinking and programming
• understands how computer programming may be used to solve problems, motived by the student's own subject specialisation

Skills
The student is able to

• implement simple computer programs
• make use of available program libraries
• extend and adapt code written by other programmers
• process structured data sets by means of a computer

Required Previous Knowledge

None

Recommended Previous Knowledge

None

Credit Reduction due to Course Overlap

I110: 10 stp
INFO132: 10 stp
MIX101: 10 stp
INF109: 10 stp
DATA110: 10 stp
LING123: 5 stp
Fra og med våren 2023: DIGI111: 2,5 Sp

Access to the Course

Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences.

Teaching and learning methods

The teaching consists of lectures and group sessions.

Lectures/ 2 hours per week
Group sessions/ 4 hours per week

Compulsory Assignments and Attendance

The course will have compulsory assignments. The assignments are valid two semesters: the semester when they are approved and the succeeding semester.

Forms of Assessment

The following assessments are used in the course:

• Written (digital) final exam (4 hours).
• To pass the course, a sufficient number of compulsory assignments and the final exam need to be passed.

Examination Support Material

All written and printed examination aids are allowed.

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Assessment Semester

Final exam is arranged every semester.

Reading List

The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester.

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB, or contact studieveileder@ii.uib.no

Course Administrator

The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.