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College of Interdisciplinary Studies
Course : Programming for Data Analytics
Credits : 3
Course Code: CIS104 
Course level : Undergraduate
Semester: 1
Course Description :
Python programming and essential modules for data analytics from data loading to knowledge  extraction and understanding. Students are able to use programming languages and understand data  structure, algorithms for data ingression, data analytics, data manipulation and visualization
Course : Data Structures and Algorithms for Data Analytics
Credits : 3
Course Code: DSI208
Course level : Undergraduate
Semester: 2
Course Description :
Analysis of running time and memory requirements. Data structures: arrays, linked lists, stacks,  queues, trees, hash, graph. algorithm techniques: brute force, divide‐and‐conquer, greedy  algorithms, and dynamic programming. Space and time tradeoffs. Algorithm design and  implementation for business problems. Testing and debugging