CS 1110, Spring 2021 - This is a link to the syllabus. PDF

Title CS 1110, Spring 2021 - This is a link to the syllabus.
Course Introduction to Computing Using Python
Institution Cornell University
Pages 3
File Size 82.4 KB
File Type PDF
Total Downloads 69
Total Views 140

Summary

Syllabus link so that you can go here and download what you might need for the course. It's great and really nice info....


Description

CS 1110, Spring 2021: Homepage/Semester Information In the list below, the links are ordered by what we think you should check most oen first! 1. Course schedule (schedule/index.html) by date: includes lecture, lab, and assignment materials. 2. Announcements: Canvas version (https://canvas.cornell.edu/courses/25213/announcements) (starts out compact); one-page version (announcements/archive.html) (all announcement bodies on one page); important initial overview announcement (announcements/archive.html#pre-semester-info) 3. Frequently accessed servers and sites: Lecture and lab times, location, and lead instructors (timeplace/index.html) Textbook: Think Python: How to Think Like a Computer Scientist (https://greenteapress.com/wp/think-python-2e/), 2nd Edition, Allen B. Downey. Optional, and free online. We will refer to it, but topic coverage and order diverges from our presentation. Consider it a good supplementary reference. Ed Discussions (https://edstem.org/us/courses/3933): post and/or answer questions. You can make your question anonymous to other students (sta will see the author names). NetID authentication required. Lab server (https://cs1110.cs.cornell.edu/py/labs/cs1110): lab exercises CMS for CS 1110 Sp21 (https://cmsx.cs.cornell.edu/web/auth) - main site for assignment submission and grade records. We have a CMS Usage Guide for CS1110. (https://www.cs.cornell.edu/courses/cs1110/2021sp/resources/cms.html). We also occasionally use Gradescope. CS1110 Python Tutor (http://cs1110.cs.cornell.edu/tutor/#mode=edit) and original Python Tutor (http://www.pythontutor.com/visualize.html#mode=edit) Python 3.8 Standard Library (https://docs.python.org/3.8/library/) documentation ("API"); 4. Help, advice, and previous solutions Ed Discussions (https://edstem.org/us/courses/3933): post and/or answer questions. You can make your question anonymous to other students (sta will see the author names). NetID authentication required. Sta contact info and oice/consulting hours (sta/index.html) CS1110-specific tutoring (resources/tutoring.html) services that Cornell provides

The Learning Strategies Center (http://lsc.cornell.edu/): how to study and manage time and stress; start-of-semester study skills online course (https://canvas.cornell.edu/enroll/NC3TFB), study-partner matching (http://lsc.cornell.edu/study-partner-matching-is-back/) The Academic Excellence Workshop (AEW) (aew.html)  Advice: The CS 1110 Declassified Survival Guide (resources/cs1110SurvivalGuide.pdf), by Will Xiao, and assignment advice (resources/doing-assignments.html): starting, partnering  Archived solutions from previous semesters: assignments (resources/doingassignments.html#assignment-archive); exams (exams/index.html#exam-archive) 5. Prelim and final exam information (exams), including archive of previous exams and solutions 6. Info unlikely to change during the semester 1. Instructions (instructions/index.html): Mechanics of online exams (for those who have permission to take one); installing/accessing Python and Atom (even in cases when you don't have a working computer); using a command shell; CMS; Student Center section swaps and grade-option changes; register an exam conflict, get a form signed, become a consultant 2. Policies (policies/index.html): assessment/grading, collaboration and academic integrity, SDS accommodations, exams: modalities, conflicts; no overlapping (time-conflicting) enrollment permitted. 3. Lecture and lab times, location, and lead instructors (timeplace/index.html) 4. Alternative courses (alternatives.html) 5. Lightly edited version of the 2020-2021 Courses of Study entry:

CS 1110 - Introduction to Computing Using Python (MQR-AS, SMR-AS) Fall, Spring, Summer. 4 credits. Fall, Summer: letter grades only; Spring: student option grading (no audit). Programming and problem solving using Python. Emphasizes principles of software development, style, and testing. Topics include procedures and functions, iteration, recursion, arrays and vectors, strings, an operational model of procedure and function calls, algorithms, exceptions, object-oriented programming, and GUIs (graphical user interfaces). Weekly labs provide guided practice on the computer, with staff present to help. [...] Forbidden Overlap: Students may not enroll in CS 1110 if they have taken or are also enrolled in CS 2110/ENGRD 2110, CS 2112, or have taken or are currently enrolled in a course offered or cross-listed with a CS number 3000 or above. (Students looking to learn Python rather than learn how to program should take CS 1133 instead.) Students who have affiliated with the computer-science major may not enroll. Due to a partial overlap in content, students will receive 6 credits instead of 8 if they take CS 1110 and one of the following: CS 1112, CS 1115, INFO 1100, VISST 1100. Prerequisites: Assumes basic high school mathematics. No calculus or programming experience required. Outcomes: Be fluent in the use of procedural statements -assignments, conditional statements, loops, method 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 searching and sorting algorithms. Have knowledge of the basics of vector computation. © Cornell University, 2021. Course materials developed by E. Andersen, A. Bracy, D. Fan, D. Gries, L. Lee, S Marschner, C. Van Loan, W. White...


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