CS 1110, Spring 2021: Homepage/Semester Information

In the list below, the links are ordered by what we think you should check most often first!

1. Course schedule by date: includes lecture, lab, and assignment materials.
   
   
2. Announcements: Canvas version (starts out compact); one-page version (all announcement bodies on one page, no login required); important initial overview announcement
   
   
3. Frequently accessed servers and sites:
   • Lecture and lab times, location/links, and lead instructors
   • Textbook: Think Python: How to Think Like a Computer Scientist, 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: post and/or answer questions. You can make your question anonymous to other students (staff will see the author names). NetID authentication required.
   • Lab server: lab exercises
   • CMS for CS 1110 Sp21 - main site for assignment submission and grade records. We have a CMS Usage Guide for CS1110.. We also occasionally use Gradescope.
   • CS1110 Python Tutor and original Python Tutor
   • Python 3.8 Standard Library documentation ("API");
   
   
4. Help, advice, and previous solutions
   • Ed Discussions: post and/or answer questions. You can make your question anonymous to other students (staff will see the author names). NetID authentication required.
   • Staff contact info and office/consulting hours
   • Aside from CS1110 staff:
     1. The Academic Excellence Workshop (AEW) for CS1110
     2. CS1110-specific tutoring services that Cornell provides
     3. The Learning Strategies Center: how to study and manage time and stress; start-of-semester study skills online course, study-partner matching
         
   • Advice: The CS 1110 Declassified Survival Guide, by Will Xiao, and assignment advice: starting, partnering
      
   • Archived solutions from previous semesters: assignments; exams
   
   
5. Exam information, including archive of previous exams and solutions
   
   
6. Info unlikely to change during the semester
   1. Instructions: 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: assessment/grading, collaboration and academic integrity, SDS accommodations, exams: modalities, conflicts; no overlapping (time-conflicting) enrollment permitted.
   3. Alternative courses
   4. 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.