Term and Credits
Winter 2019-2020
3 Credits
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
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
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.
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:
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
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.
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 |
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.
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.
The following are acceptable:
These are NOT acceptable:
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
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
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.
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. |