COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course examines the roll of databases in an Information System. Topics include: data life cycle; data modeling-- describing data at different levels; components of a database management system (DBMS); relational data model; use of a declarative query language-- SQL; data governance and information management roles; managing unstructured data-- SQL and noSQL databases.
COURSE DETAIL
COURSE DETAIL
This course covers how JavaScript works and how to use JavaScript to improve the richness of web interactions with simple, life-like examples. With hands-on examples, students will be able to understand from the ground up. The course has a series of sections and recorded segments, so learning is more flexible and efficient.
COURSE DETAIL
This course covers the fundamentals of generative computer graphics: homogeneous coordinates, rendering pipeline, and global illumination. Topics include input and output devices, transformations, raster algorithms, visibility, color, local illumination, global illumination, and textures.
COURSE DETAIL
This course covers the core ability of computer related specialty programming and cultivates computing thinking and engineering literacy to solve complex problems using programming methods. The course examines the basic concepts and principles of programming, and the basic grammar and structure of C language. Students use the C programming platform for programming and debugging, and C language to design and implement a program of the scale of a text interface life game.
COURSE DETAIL
This course is a broad introduction to computer vision for data science. Topics include various low-level image processing methods and high-level vision tasks like image classification and object detection, with modern approaches based on deep learning. Student learn computer vision algorithms and implement them in python. Students should be proficient in python programming with numpy for assignments. Other python libraries, such as opencv (cv2), scipy, and matplotlib will be used, but students do not have to be proficient with them.
Pagination
- Previous page
- Page 86
- Next page