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University of Alaska Southeast - Sitka accepts courses recommended for college credit by ACE & NCCRS

Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including yours.

Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including yours.

Course Details For Programming in Python
Learning Outcomes
University of Alaska Southeast - Sitka
Upon the successful completion of this course, students will be able to: apply foundational Python programming principles to real-world scenarios, demonstrating proficiency in manipulating data types and constructs for precise data manipulation; configure Python environments effectively, demonstrating proficiency in seamlessly handling input/output operations; demonstrating robust comprehension of computing with numbers, exhibiting proficiency in executing arithmetic operations and designing algorithms; employ essential data handling skills, including string manipulation, list management, dictionary usage, and file handling, to address diverse data manipulation tasks; explore advanced Python topics, such as object-oriented programming, graphical visualization, functions, and standard modules, applying them to solve complex programming challenges; implement decision structures and loop structures proficiently, ensuring effective programming logic and control flow in python code; and master algorithm design and data analysis techniques, including fundamental search algorithms, recursion, sorting techniques, and practical applications like the towers of Hanoi problem, to analyze and solve real-world problems effectively.
Major Course Topics
Major topics include Introduction to Python Programming; Computing with Numbers; Using Strings, Lists and Files in Python; Objects and Graphics in Python; Using Functions in Python; Decision Structures in Python; Loop Structures in Python; Object Oriented Programming; Data Collections in Python; Algorithm Design and Data Analysis.
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