Searching and Machine Learning
Course offered :
- Current semester
- Next semester
Current programmes of study
Course offered by
| Number of credits | 10 |
| Course offered (semester) | Autumn |
| Subject overlap | I 181: 10 ECTS |
| Schedule | Schedule |
| Reading list | Reading list |
Language of Instruction
English
Pre-requirements
At least 60 ECTS in computer science, preferably including some mathematics
Learning Outcomes
After completing the course the student can:
- make programs that finds local and global alignments between biological sequences
- describe how search in biological sequence databases is done and how statistical significance is calculated
- make programs for machine learning with use of different approaches: candidate elimination, decision trees and artificial neural networks
- explain how results from use of machine learning can be evaluated
Contact Information
studieveileder@ii.uib.no
Course offered (semester)
Autumn
Language of Instruction
English
Aim and Content
The course includes general methods for searching, string searching, different methods for aligning biological sequences and different machine learning approaches (e.g. neural networks). We emphasise the use of bioinformatics, and give also a brief introduction to molecular biology
Learning Outcomes
After completing the course the student can:
- make programs that finds local and global alignments between biological sequences
- describe how search in biological sequence databases is done and how statistical significance is calculated
- make programs for machine learning with use of different approaches: candidate elimination, decision trees and artificial neural networks
- explain how results from use of machine learning can be evaluated
Pre-requirements
At least 60 ECTS in computer science, preferably including some mathematics
Recommended previous knowledge
The course is based on INF101(Program development methodologies (Programming 2))
Subject Overlap
I 181: 10 ECTS
Compulsory Requirements
Exercises.
Compulsory assignments are valid two semesters, the semester of the approval and the following semester.
Assessment methods
Written exam. It is opportunity for grades on exercises, which can be included in the final grade. If less than 20 students are taking the course, it can be oral exam.
No aids allowed for oral exams, calculator for written exams.
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.
Contact Information
studieveileder@ii.uib.no