COMP4620
This course introduces the basic foundational concepts in programming primarily applicable to data science. The student will be provided with hands-on experience applying several techniques and data structures to retrieve and manage data and assess the performance implications based on the structures and techniques applied.
On successful completion of this course, a student should be able to:
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Discuss the various types of data structures suitable for representing different data;
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Analyze the performance implications of using different structure to manage data;
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Implement algorithms and data structures to organize and prepare data for analysis;
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Develop solutions to collect, retrieve and prepare data for different types of analysis;
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Basic programming constructs: data types, expressions, sequence, iteration, recursion, conditionals
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Data structures and representations (eg. lists, trees, dictionaries, data frames, graphs)
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Sorting and Searching
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Performance measurements (space and time complexity)
The course will be assessed by coursework that will have three (3) components and a final examination. The assignments should allow students to demonstrate that the specific learning outcomes have been achieved.
Coursework (60%)
- 1 Project. 20%
- Assignment. 15%
- 5 Labs (5% each). 25%
Final Examination. 40%
Projects and labs will focus on learning outcomes 3 and 4, while the assignment will focus on LOs 1 and 2.
Students will be required to pass both the coursework and the final examination to pass the course.