ACIT4030 Machine Learning for 3D Computer Vision Course description

Two external examiners will be used for the assessment.

Practical experience with deep machine learning. Knowledge of computer graphics and image processing is preferable, but not strictly required.

Lectures and tutorials (including problem solving and the use of Python coding to solving relevant mathematical problems).

None

The academic writing workshops will cover topics such as

• Article genre conventions and structures, including IMRAD
• Understanding of the main elements of the writing process and management of writing projects
• Audience, purpose and context (rhetorical situation)
• Variations in academic style
• Disciplinary identity
• Patterns of paragraph development
• Coherence and cohesion
• Directness and formality
• Audience analysis
• Analysing, discussing and responding to academic texts

A handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator’s internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

The exam consists of three parts:

1. Oral presentation of 15 minutes (20% of the final grade), individual or in a group of two
2. Written evaluation of another student presentation, 500-1000 words (10% of the final grade), individual or in a group of two
3. Final project report between 6000 and 11,000 words (70% of the final grade), individual or in a group of two.

All three parts of the exam must be passed in order to pass the course.

The oral examination cannot 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.

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Tore Flåtten

Students are expected to have prerequisite knowledge in mathematics and programming corresponding to national guidelines for a BSc degree in engineering.

Associate Professor Henrik Lieng