Spring 2020 not offered
|Certificates: Applied Data Science|
|Course Cluster: Applied Data Science Certificate|
In this course, students will learn to systematically design programs, going from a problem statement to a well-organized solution in a step-by-step fashion. We will apply these program design skills to many applications within computer science and in other disciplines. Students will develop their mathematical skills, because we will use a symbolic view of computation that explains the process of running a program as simple manipulations of its text. Students will also develop their technical reading and writing skills, such as understanding complex problem descriptions and precisely articulating the design of solutions. No prior experience with programming or computer science is expected.
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|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (BIOL)(CADS)(DATA-MN)(IDEA-MN)(IDEA)(INFO-MN)(MATH)
Felleisen, Findler, Flatt and Krishnamurthi, HOW TO DESIGN PROGRAMS
|Examinations and Assignments: |
|Additional Requirements and/or Comments: |
Relative to COMP 112,
this course de-emphasizes the study of programming language details, and uses pedagogical programming languages that were designed specifically for the approach that we take. Potential computer science majors who want a gentler introduction to the subject may wish to take this course or COMP 112 before taking COMP 211.
|Drop/Add Enrollment Requests|
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