Home
Education
Undergraduate course

Machine Learning

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINFO284
  • Number of semesters1
  • LanguageEnglish
  • Resources

Level of Study

Bachelor

Teaching semester

Spring

Objectives and Content

The course introduces Machine Learning, with a view towards data analysis applications. Topics covered are supervised learning (classification and regression), unsupervised learning including clustering, decision tree learning, Bayesian learning, and working with textual data.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The candidate

  • has theoretical knowledge about the principles of machine learning
  • has a basic understanding of the contemporary machine learning algorithms
  • has a broad knowledge about the use of machine learning in data analysis, its advantages and limitations

Skills

The candidate

  • can analyze and design machine learning solutions for data analysis applications

Required Previous Knowledge

INFO132 or equivalent. Basic understanding of programming and algorithms.

Recommended Previous Knowledge

INFO132 or equivalent. Basic understanding of programming and algorithms.

Credit Reduction due to Course Overlap

INF264 (10 ECTS)

Access to the Course

The course is open to all students at the University of Bergen.

Teaching and learning methods

Lectures, seminars and data labs, normally 2 + 2 hours per week for 12-15 weeks.

Compulsory Assignments and Attendance

  • Compulsory assignments, which have to be approved in the teaching semester.
  • Participation: compulsory attendance at labs (at least 80%).

Approved compulsory requirements are valid for the two following semesters.

Forms of Assessment

4 hour written exam.

Examination Support Material

All written material in paper form is allowed on the exam.

Grading Scale

The grading system has a descending scale from A to E for passes and F for fail.

Assessment Semester

Assessment in teaching semester and in the following semester (for the students who have valid compulsory assignments and attendance).

Contact

Contact Information

studieveileder@ifi.uib.no

Telephone 55 58 90 00

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam. Candidates must check their room allocation on Studentweb 3 days prior to the exam.

  • Type of assessment: Written examination

    Date
    25.09.2019, 09:00
    Duration
    4 hours
    Withdrawal deadline
    11.09.2019
    Examination system
    Inspera
    Digital exam