DATA STRUCTURES (6 SCU)
Learning Outcomes: pon successful completion of this course, students are expected to be able to: describe the use of various data structure; apply appropriate operations for maintaining common data ...
BINUS University Curriculum Center
People Innovation Excellence
Courses
Data Structures and Algorithm Analysis
Learning Outcomes Upon successful completion of this course, students are expected to be able to: Describe the use of various data structures; Explain and apply appropriate operations for maintaining...
Data Structures and Algorithm Analysis (4/2)
Learning Outcomes : Explain the concept data structures and its usage in Computer Science Analyze algorithm complexity: Students will be able to assess the time and space complexity of algor...
DATA STRUCTURES AND ALGORITHMS (6 SCU)
Learning Outcomes: Upon successful completion of this course, students are expected to be able to: describe the use of various data structure; explain and apply appropriate operations for maintaining...
DATA VISUALIZATION (2 Credits)
Learning Outcomes: On successful completion of this Course, students will be able to: Discuss data insights more effectively; define why data storytelling is so effective; Use the Tableau workspace...
DATA VISUALIZATION (2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: LO1 - describe various examples of data visualization used in practice; LO2 - Explain how the Gestalt principles o...
DATA VISUALIZATION (2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: explain Explain the basic concepts and the context for performance dashboards; analyze Analyse performance dashbo...
DATA VISUALIZATION (2/1 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: LO1 - describe various examples of data visualization used in practice; LO2 - explain how the Gestalt principles o...
DATA VISUALIZATION (4 SCU)
Learning Outcomes Write code to clean and format data in preparation for data visualisation; Design appropriate and effective visualisations that help users gain deep insight into complex data sets; ...
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