CS 1112 - Introduction to Computing: An Engineering and Science Perspective

(SMR-AS)

Fall, Spring. 4 credits. Student option grading (no audit).

Forbidden Overlap: due to an overlap in content, students will not receive credit for both CS 1110 and CS 1112.
Prerequisite: MATH 1110 or equivalent. Not open to: students affiliated with computer-science major. No prior programming experience is required. Some knowledge of Calculus is required. Co-enrollment in MATH 1110 is acceptable assuming that student is comfortable with the concepts of series summation and derivatives. Students looking to learn Python rather than learn how to program should take CS 1133 instead.

Staff.

Programming and problem solving using Python. Emphasizes the systematic development of algorithms and programs. Topics include iteration, functions, arrays, strings, recursion, object-oriented programming, algorithms, and data handling and visualization. Assignments are designed to build an appreciation for complexity, dimension, randomness, simulation, and the role of approximation in engineering and science. Weekly discussion section provides guided practice on the computer, with staff present to help.

Outcome 1: Be fluent in the use of procedural statements-assignments, conditional statements, loops, function calls-and arrays. Be able to design, code, and test small Python programs that meet requirements expressed in English. This includes a basic understanding of top-down design.

Outcome 2: Understand the concepts of object-oriented programming as used in Python: classes, subclasses, inheritance, and overriding.

Outcome 3: Have knowledge of basic sorting and searching algorithms.

Outcome 4: Have a working familiarity with libraries such as NumPy and Matplotlib for scientific computation and data visualization.