Programplaner og emneplaner - Student
ACIT4530 Data Mining at Scale: Algorithms and Systems Course description
- Course name in Norwegian
- Data Mining at Scale: Algorithms and Systems
- Weight
- 10.0 ECTS
- Year of study
- 2024/2025
- Course history
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- Curriculum
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SPRING 2025
- Schedule
- Programme description
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Introduction
Skriftlig prosjektplan i gruppe på 4-6 studenter, inntil 1500 ord
Ny eksamen: Ved ikke bestått ordinær eksamen har studentene anledning til å levere omarbeidet versjon av besvarelsen én gang.
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Recommended preliminary courses
It is an advantage to have some experience with the following subjects:
- Mathematical Analysis
- Basic programming, such as scripting
- Statistics, specifically probability theory
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Required preliminary courses
Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges.
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Learning outcomes
Bestått - ikke bestått.
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Content
- Data mining systems
- Data mining and machine learning algorithms
- Deep learning and neural networks for datamining
- Data stream processing methods, such as, but not limited to, anomaly detection, clustering, association rule learning
- Distributed reinforcement learning for data mining.
- Data visualization
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Teaching and learning methods
This course is divided into two parts. The first part with focus on covering the principles of data mining and stream processing. Different seminars will be given on the different methodological aspects of data mining and stream processing as well as the programming paradigms and software tools that enable them.
The second part will focus on the students completing a programming project. The project can be chosen from a portfolio of available problems. The student will work in a group on the project and submit a final code-base with a report.
During this part, there may be lectures if needed, but most of the time will be spent on individual supervision of students in lab-sessions.
Practical training
Lab sessions.
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Course requirements
None.
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Assessment
Group project (2-4 students) between 15 000 and 17 500 words
The exam can be appealed.
New/postponed exam
In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.
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Permitted exam materials and equipment
All aids are permitted, provided the rules for plagiarism and source referencing are complied with.
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Grading scale
Grade scale A-F.
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Examiners
Two internal examiners. External examiner is used periodically.
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Course contact person
Professor Anis Yazidi