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Applied Image Techniques Project (CAY0007), 3 op
Basic information
| Course name: | Applied Image Techniques Project Applied Image Techniques Project |
| Course Winha code: | CAY0007 |
| Kurre acronym: | CAY0007 |
| Credits: | 3 |
| Type and level of course: | Master, compulsory studies |
| Year of study, semester or study period: | 1.year |
| Implementation: | Spring semester, 3.period |
| Semester: | 0607 |
| Language of tuition: | English |
| Teacher: | Jaakko Pitkänen |
| Final assessment: | Grading scale (0-5) |
Descriptions
Prerequisites
Applied Mathematics
Course contents (core content level)
?Statistical Methods in Image Processing: Authenticity Investigation
?Image Compression, esp. JPEG
?Statistical Pattern Recognition Methods
Course contents (additional)
?the other two from the Course Contents list
Core content level learning outcomes (knowledge and understanding)
?The student will learn to interpret mathematical principles and formulas in a practical way, and find out essential information to solve a practical problem.
Core content level learning outcomes (skills)
?The student will have skills in implementing and applying demanding mathematical principles in a practical computer programme.
Recommended reading
Digital Image Processing, R. C. Gonzales et al., Pearson, Prentice Hall
Teaching and learning strategies
?Orientation Lectures
?Learning Projects
?Seminar
Teaching methods and student workload
Lectures
Seminar
Individual research, reading
Project
Assignments or project
Assessment weighting and grading
?Project 80%, seminar presentation 20%
Related competences of the degree programme
Product development and project skills
Information acquisition skills and adaptation of new knowledge