CS 171 Computer Programming 1

Term and Credits
Winter 2019-2020
3 Credits

Basic Course Information

Rooms and Times

CS 171-A Time: Tuesday 02:00PM-3:50PM Instructor: Prof. Mark W. Boady Room: Papadakis Integrated Sci Bldg Room 120
CS 171-B Time: Monday 01:00PM-2:50PM Instructor: Prof. Mark W. Boady Room: Nesbitt Hall Room 111
CS 171-C Time: Monday 03:00PM-4:50PM Instructor: Prof. Adelaida Medlock Room: Disque Hall Room 108

Labs: (Primary TA in italic grades lab submissions)

Wednesday Labs
CS 171-64 Time: Wednesday 03:00PM-4:50PM Instructors:
Ridwan Olawin
Tri Le
Location: 3675 Market Street Room 912
CS 171-65 Time: Wednesday 03:00PM-4:50PM Instructors:
Sahithi Pisupati
Sai Meda
Location: 3675 Market Street Room 913
Thursday Labs
CS 171-68 Time: Thursday 10:00AM-11:50AM Instructors:
Caitlyn Yergey
Kevin Young
Location: 3675 Market Street Room 1056
CS 171-80 Time: Thursday 10:00AM-11:50AM Instructors:
Matthew Chong
Enes Sezen
Location: 3675 Market Street Room 1054
CS 171-81 Time: Thursday 10:00AM-11:50AM Instructors:
Giang Doan
Sai Meda
Location: 3675 Market Street Room 1055
CS 171-82 Time: Thursday 12:00PM-1:50PM Instructors:
Kevin Young
Sahithi Pisupati
Location: 3675 Market Street Room 1054
CS 171-83 Time: Thursday 12:00PM-1:50PM Instructors:
Enes Sezen
Sai Meda
Location: 3675 Market Street Room 1055
CS 171-60 Time: Thursday 02:00PM-3:50PM Instructors:
Hruday Vairagade
Enes Sezen
Location: 3675 Market Street Room 1054
CS 171-61 Time: Thursday 02:00PM-3:50PM Instructors:
Vineet Mehta
Jashanpreet Singh
Location: 3675 Market Street Room 1055
Friday Labs
CS 171-70 Time: Friday 10:00AM-11:50AM Instructors:
Jashanpreet Singh
Tri Le
Location: 3675 Market Street Room 1054
CS 171-71 Time: Friday 10:00AM-11:50AM Instructors:
Kevin Young
Location: 3675 Market Street Room 1055
CS 171-66 Time: Friday 12:00PM-1:50PM Instructors:
Ridwan Olawin
Tri Le
Location: 3675 Market Street Room 1054
CS 171-67 Time: Friday 12:00PM-1:50PM Instructors:
Sahithi Pisupati
Sai Meda
Location: 3675 Market Street Room 1055
CS 171-62 Time: Friday 03:00PM-4:50PM Instructors:
Matthew Chong
Sahithi Pisupati
Location: 3675 Market Street Room 1054
CS 171-63 Time: Friday 03:00PM-4:50PM Instructors:
Giang Doan
Sai Meda
Location: 3675 Market Street Room 1055

Instructor

Mark W. Boady
Electronic Mail Address: mwb33@drexel.edu
Webpage: https://www.cs.drexel.edu/~mwb33/
Office: 3675 Market Street Room 1058
Extention: 215-895-2347
Office Hours: Mon. 4:00PM-5:00PM, Tues. 12:00PM-1:00PM, Wed. 1:00PM-2:00PM, Thurs. 3:00PM-4:00PM, and by appointment

Prof. Adelaida Alban Medlock
Electronic Mail Address: aalban@drexel.edu
Webpage: http://www.cs.drexel.edu/~aalban/
Office: 3675 Market Street Room 1064
Extention: 215-895-2672
Office Hours: Wednesdays 10:30 AM - 12:30 PM and by appointment

Teaching Assistant(s)

Office Hours Location: 3675 Market Street Room 1066
Office Hours: https://www.cs.drexel.edu/clc
Contact Info: https://www.cs.drexel.edu/clc
Contact your TA through Slack for Course Related Questions.
CS Dept. Phone: (215) 895-2669
CS Dept. Fax: (215) 895-0545
CS Dept. Location: 3675 Market Room 1171-A


Course Description and Objectives

Course Description

Introduces fundamental concepts of computing including memory, instructions, function calls, and activation records. Covers fundamentals of structured computer programming in the language of instruction: variables, input and output, expressions, assignment statements, conditionals and branching, subprograms, parameter passing, repetition, arrays, top-down design, testing, and debugging.

Course Goals

The goal of this course is for students completing it to be competent programmers, able to write working Python program on their own using appropriate constructs when presented with a problem description.

Course Objective

  1. Trace execution of a Python program containing assignment statements, strings, conditionals, file input/output, functions, and loops.
  2. Determine appropriate code constructs and design a Python program using them to satisfy problem description.
  3. Write appropriately styled Python code and documentation for programs using assignment statements, strings, conditionals, file input/output, functions, and loops.
  4. Detect and correct syntax errors in Python programs containing assignment statements, strings, conditionals, file input/output, functions, and loops.
  5. Detect and correct logic errors in Python programs containing assignment statements, strings, conditionals, functions, and loops.
  6. Communicate and solve problems effectively as a member of a team

Audience and Purpose within Plan of Study

This course is open to all student's interesting in Programming and Computer Science.

This course is the first in a two-term sequence of computer programming courses in Python (CS 171-2) and is a required course for students majoring in computer science, mathematics, physics, information systems, and digital media. It is also a required course for students pursuing a minor in computer science. The goal is for students completing this sequence to be competent programmers, able to write working Python program on their own using appropriate constructs when presented with a problem description.

Prerequisites
None.

While there are no formal prerequisites for the course, students are expected to be computer literate. Prior programming experience is not required, but is definitely helpful.


Required Textbook and Software

Textbook

Title: Programming in Python 3 with zyLabs
Edition: Drexel University CS 171: Computer Programming I Winter 2019
Author: Bailey Miller
ISBN-13: 978-1-5418-9857-8
Buy: zyBooks.com
Copyright: 2014, 2015, 2016, 2018 Zyante Inc. (zyBooks.com)
Price: $77.00

In order to acquire the book you will need to follow these steps:

  1. Sign up at learn.zybooks.com
  2. Enter zyBook code DREXELCS171Winter2020
  3. Click Subscribe

Students may begin subscribing on Dec 23, 2019 and the cutoff to subscribe is Mar 15, 2020. Subscriptions will last until Apr 05, 2020.


Software and Hardware Requirements

All Drexel students are required to have individual access to a dedicated personal computer which meets minimum specifications, including: processor speed, memory and secondary storage requirements, and connectivity to campus network. Please see https://drexel.edu/cci/admissions/graduate-professional-development/admissions-information-and-requirements/computer-requirements-and-skills/ for further information.

The official language used for this course is Python 3. It is available for free at https://www.python.org.

Required Software

  1. Thonny Python IDE: https://thonny.org/
  2. Slack - Use your Drexel Email Address to sign up https://join.slack.com/t/drexelcs171winter2020/signup
  3. Kahoot! - Please install on your phone before class from the App Store or Google Play.

Blackboard Learn
This course is operating with the Drexel BlackBoard Learn (Learn) Course Management System, which allows electronic submission of assignments, quizzes, and lab exercises, along with online chat sessions and threaded discussion groups. You can access the Drexel Learn course website from the Drexel portal http://one.drexel.edu/. You can also access Drexel Learn from the following page https://learn.dcollege.net/.

Additional Requirements:

All Drexel students are required to have individual access to a dedicated personal computer which meets minimum specifications, including: processor speed, memory and secondary storage requirements, and connectivity to campus network. Please see http://www.drexel.edu/irt/computers-software/buying-guide/ for further information.


Grade Computation

Labs 10%
Homework 10%
Readings 10%
Project 15%
Attendance 5%
Quizzes 10%
Midterm 20%
Final Exam 20%

Final grades will be determined by your total points weighted according to this distribution. Grades may be curved but are generally computed via the formula below. It may be modified at the instructor's sole discretion, but letter grades will generally not be lower than those shown here.

Grading Scale

A+ 97-100
A 93-96.99
A- 90-92.99
B+ 87-89.99
B 83-86.99
B- 80-82.99
C+ 77-79.99
C 73-76.99
C- 70-72.99
D+ 67-69.99
D 60-66.99
F 0-59.99

Grading Policies

Attendance

Readings

Homeworks

Project

Labs

Quizzes/Midterm/Final

Special Circumstances

If you have a documented reason why you cannot submit any work by the cut-off deadline, a special exception may be made. The Professor may also wave the late submission policy for documented special exceptions. Special Exceptions must be approved by the Professor.

Additional Policies

Plagiarism Detection System

To ensure that assignments are done independently, in addition to human observation, we will be running all assignments through a plagiarism detection system. This program uses compiler techniques which are invariant of syntax and style. It has a very high accuracy rate.


Academic Honesty Policy

The university's Academic Honesty policy is in effect for this course. This policy is available in the Student's Handbook https://drexel.edu/studentlife/community_standards/code-of-conduct/. Please also read the following information from the Provost Office: https://drexel.edu/provost/policies/academic-integrity/

You must be the sole original author of all assignments and examination solutions in their entirety, unless the instructor explicitly instructs you otherwise in written directions on an assignment or exam. Except where specifically assigned, collaborative work is a violation of academic honesty in this course. You are not to examine, share, or use code/written solutions belonging to someone else, nor may you let anyone else examine or copy your code/written solutions.

Students found in violation of the Academic Honesty policy will receive no credit for the questionable assignment or exam, a half letter grade reduction on the final grade for the course (on the first occurrence), a whole letter grade reduction on each subsequent occurrence(s), and/or will possibly receive a failing grade for the course. In addition, a Drexel University Alleged Academic Misconduct Report will be filed for each occurrence of Academic Dishonesty.

If you are suspected of academic dishonesty, a note will be placed in the BB Learn course site and you will be required to communicate with the course instructor within 72 hours indicating your response to the suspected violation.

Students having difficulty fulfilling the requirements for an assignment without outside help are to seek assistance from a teaching assistant or instructor, not from another student or knowledgeable person.

It is your responsibility to avoid violating the university's policy. If you are unclear as to what the policy means in a particular situation, ask the instructor for clarification before you hand anything in.

See the examples below for clarification of this policy.

Examples

The following are acceptable:

These are NOT acceptable:


Additional Course Policies

Computer/Software Help
iCommons (3675 Market #1067): https://drexel.edu/cci/current-students/icommons/

Students Accommodations

Students requesting accommodations due to a disability at Drexel University need to request a current Accommodations Verification Letter (AVL) in the ClockWork database before accommodations can be made. These requests are received by Disability Resources (DR), who then issues the AVL to the appropriate contacts. For additional information, visit the DR website at https://drexel.edu/oed/disabilityResources/students/, or contact DR for more information by phone at 215-895-1401, or by email at disability@drexel.edu


Other important Academic Policies

In addition to the course policies listed on this syllabus, course assignments or course website, the following University policies are in effect:

Class Disruption Policies

According to the student handbook (Code of Conduct section), Disorderly Conduct is defined as behaviour that disturbs academic study:

Behavior that disturbs the peace, academic study, or sleep of others both on or off campus is prohibited. Examples of disorderly conduct as it pertains to class/research settings includes, but is not limited to the following:

Students are responsible to comply with a reasonable request from a professor, instructor, or other University official regarding appropriate behavior.

Students disrupting the lecture and/or lab will be asked to stop the disruptive behaivor. If they do not stop, the student will be asked to leave the classroom (and if they don't, public safety will be called to help), and a formal complaint will be filed with the Office of Student Conduct and Community Standards.

Cell Phones and other electronic devices

Classroom Policy

Use of cell phones and other electronic devices during class is disruptive to other students and the instructor. If you must bring your phone to class, make sure you turn the ringer off. If you need to take or make a call, quietly leave the room.

Students who bring laptops/tablets to class should turn the sound off. Start-up and shut-down music, dialogue and error alerts, instant messaging sounds, etc., are disruptive.

Exam Policy

Cell phones, tablets, laptops, smart-watches, and other devices can be used to communicate with people and access Internet sites. Thus using any of these items during an exam is in direct violation of the academic honesty policies of Drexel University. Any use of any electronic device during an exam is considered an act of cheating. Students are advised not to bring these items to exams to avoid misunderstandings. If you must bring any of these items with you to the exam, turn it off and keep it in your book bag. You may not make a call, receive a call, or otherwise keep any of these items "in plain sight."

Course Change Policy

The instructor may, at her/his discretion, change any part of the course during the term, including assignments, grade breakdowns, due dates, and schedule. Such changes will be communicated to students via the announcements tool in Blackboard Learn, as well as announcements during the lecture. Students are encouraged to regularly check BlackBoard Learn for such changes and other important course announcements.

Tentative Course Schedule

Please see the appropriate assignment webpages for a detailed description of course deliverables.

Schedule Subject to change at any time.

CS 171 Winter 2019 Schedule
Week Topics Reading Lab Notes
1 (1/6/2020) Syllabus Review
Introduction to Python
ZyBooks 1.1-1.13
ZyBooks 2.1-2.13
Lab 1 Week 1 Reading
Due Sunday 1/12/20 11:59PM
2 (1/13/2020) Arithmetic
ZyBooks 4.1-4.7 Lab 2 Homework 1
Due Thursday 1/16/20 11:59PM
Week 2 Reading
Due Sunday 1/19/19 11:59PM
3 (1/20/2020) Data Types
Martin Luther King Day No Class Monday.
Monday Sections, Watch Recording of Tuesday Lecture.
ZyBooks 6.1-6.8 Lab 3
Project P1
Due Sunday 1/26/20 11:59PM
Homework 2
Due Thursday 1/23/20 11:59PM
Week 3 Reading
Due Sunday 1/26/20 11:59PM
4 (1/27/2020) Branching
Quiz 1 in Lecture
ZyBooks 8.1 - 8.14 Lab 4 Homework 3
Due Thursday 1/30/20 11:59PM
Week 4 Reading
Due Sunday 2/2/20 11:59PM
5 (2/3/2020) Loops and Iteration
ZyBooks 10.1 - 10.17 Lab 5
Project P2
Due Sunday 2/9/20 11:59PM
Homework 4
Due Thursday 2/6/20 11:59PM
Week 5 Reading
Due Sunday 2/9/20 11:59PM
6 (2/10/2020) Midterm ZyBooks 12.1-12.18 Lab 6 Homework 5
Due Thursday 2/13/20 11:59PM
Week 6 Reading
Due Sunday 2/16/20 11:59PM
7 (2/17/2020) Exceptions, Files, and Modules ZyBooks 14.1-14.16 Lab 7 Homework 6
Due Thursday 2/20/20 11:59PM
Week 7 Reading
Due Sunday 2/23/20 11:59PM
8 (2/24/2020) Recursion and Binary Search
Quiz 2 in Lecture
ZyBooks 16.1-16.12 Lab 8
Project P3
Due Sunday 3/1/20 11:59PM
Homework 7
Due Thursday 2/27/20 11:59PM
Week 8 Reading
Due Sunday 3/1/20 11:59PM
9 (3/2/2020) Sorting ZyBooks 18.1-18.7 Lab 9 Homework 8
Due Thursday 3/5/20 11:59PM
Week 9 Reading
Due Sunday 3/8/20 11:59PM
10 (3/9/2020) Functional Programming   Lab 10
Project P4
Due Thursday 3/12/20 11:59PM
Term Project Code
Due Thursday 3/12/20 11:59PM
Extra Credit Reading
Due Sunday 3/12/20 11:59PM
11 (3/16/2020) Final Exam - Mar 18, 2020 8:00AM-10:00AM
Final Exam Covers all Material Weeks 1-10.