COMPUTER SYSTEMS AND NETWORKS (4 SCU)
Learning Outcomes: Upon successful completion of this course, students are expected to be able to Identify web application vulnerabilities; define exploit techniques out of a given vulnerability; app...
BINUS University Curriculum Center
People Innovation Excellence
Courses
Computer Vision
Learning Outcomes At the end of this course, students will be able to: Explain the concept of computer vision; Select the appropriate image analysis procedures; Analyze images to identify the require...
Computer Vision
Learning Outcomes : On successful completion of this course, student will be able to: Understand basic concept of Computer Vision and its application; Using computer to apply the techniques on comput...
Computer Vision
Learning Outcomes: On successful completion of this course, students will be able to: Explain the concept of computer vision; Demonstrate different image-processing algorithm and pattern recognizer w...
COMPUTER VISION (2/1 Credits)
Learning Outcomes: At the end of this course, students will be able to: Explain the concept of computer vision; Select the appropriate image analysis procedures; Analyze images to identify the requir...
COMPUTER VISION (2/2 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: Describe various computational principles and standard image processing operators in computer vision; Explain the...
COMPUTER VISION (2/2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: LO1 - describe various computational principles and standard image processing operators in computer vision; LO2 - ...
COMPUTER VISION (2/2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: Describe various computational principles and standard image processing operators in computer vision Expla...
COMPUTER VISION (2/2 Credits)
Learning Outcomes : On successful completion of this course, student will be able to: Describe various computational principles and standard image processing operators in computer vision, Explain the...
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