Course Overview

Course Coverage

Explore the foundational principles of computer organization, data representation, algorithmic development, and structured programming. Emphasizing Python’s syntactic and execution traits, delve into data types, arithmetic operations, input/output mechanisms, selection and iteration constructs. Discover procedural abstraction, arrays, object-oriented programming, class design, and harness Python’s power for Data Science.

Student Learning Outcomes

By the end of the course, students will be able to:

• Apply fundamental computing and mathematical knowledge, including data structures and basic algorithms, to effectively solve problems using Python.
• Design, implement, and evaluate computer-based systems, processes, components, or programs to fulfill specific requirements.
• Describe and apply the core principles of the software development cycle in the context of Python programming.
• Demonstrate proficiency in adhering to coding standards, style guidelines, and documentation practices.
• Develop a solid understanding of data types and object-oriented programming concepts.
• Utilize Python for Data Science, including data manipulation, analysis, and visualization, to gain insights from real-world datasets.
• Apply Python programming constructs like strings manipulation, basic I/O operations, Boolean algebra, selection statements, loop statements, and arrays to effectively solve computational challenges using both procedural and object-oriented paradigms.