CS 1112
Last Updated
- Schedule of Classes - December 1, 2024 7:42PM EST
- Course Catalog - December 1, 2024 7:07PM EST
Classes
CS 1112
Course Description
Course information provided by the Courses of Study 2024-2025.
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.
When Offered Fall, Spring.
Permission Note Not open to: students affiliated with computer-science major.
Prerequisites/Corequisites Prerequisite: MATH 1110 or equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will not receive credit for both CS 1110 and CS 1112.
Distribution Category (SMR-AS)
Comments 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.
Outcomes- 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.
- Understand the concepts of object-oriented programming as used in Python: classes, subclasses, inheritance, and overriding.
- Have knowledge of basic sorting and searching algorithms.
- Have a working familiarity with libraries such as NumPy and Matplotlib for scientific computation and data visualization.
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Baker Laboratory 200
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
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Additional Information
Instruction Mode: In Person
This course will use Python, not Matlab; see https://www.cs.cornell.edu/undergrad/firstcscourse and look for “CS 1112” for updated course description. You may opt to enroll in a 1-credit Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. AEWs are facilitated by upper-level engineering students or CS majors. They are graded S/U based on attendance. In order to attend an AEW, you must enroll in an AEW section, listed under course number ENGRG 1012.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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Class Number & Section Details
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Meeting Pattern
- W Hollister Hall 401
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 401
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 225
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 401
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 225
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 401
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 225
- Aug 26 - Dec 9, 2024
Instructors
Fan, D
-
Additional Information
Instruction Mode: In Person
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