CS 171 Computer Programming I
Term and Credits
Winter 2021-2022
3 Credits
Basic Course Information
Lecture
Section |
Day and Time |
Course Instructor |
Room |
CS 171 - A |
Monday 11:00 AM - 12:50 PM |
Prof. Mark W. Boady |
Nesbitt Hall 125 |
CS 171 - B |
Monday 03:00 PM – 04:50 PM |
Prof. Mark W. Boady |
Disque Hall 103 |
CS 171 - C |
Monday 01:00 PM – 02:50 PM |
Prof. Adelaida A. Medlock |
Disque Hall 108 |
Lab
Section |
Day and Time |
Lab Assistant |
Room |
CS 171 - 060 and 062 |
Wednesday 09:00 AM - 10:50 AM |
Mathew Chong, Ibrahim Elsaid, John Greaves, Selim Genel |
3675 Market St. Room 1054 - 1055 |
CS 171 - 064 and 066 |
Wednesday 11:00 AM - 12:50 PM |
Ahnaf An Nafee, John Greaves, Lillian Dourlain, Matthew Chong |
3675 Market St. Room 1054 - 1055 |
CS 171 - 068 and 070 |
Wednesday 01:00 PM - 2:50 PM |
Giang Doan, Lillian Dourlain, John Greaves, Tri Le |
3675 Market St. Room 1054 - 1055 |
CS 171 - 072 and 074 |
Thursday 09:00 AM - 10:50 AM |
Matthew Chong, Lillian Dourlain, Tri Le, Lu Patton |
3675 Market St. Rooms 912 and 913 |
CS 171 - 080 and 082 |
Thursday 11:00 AM - 12:50 PM |
Saadiya Allahbaksh, Akshiv Bansal, Andy Chek, Ibrahim Elsaid |
3675 Market St. Rooms 912 and 913 |
CS 171 - 076 and 078 |
Friday 09:00 AM - 10:50 AM |
Akshiv Bansal, Sarar Aseer, Selim Genel, Tri Le |
3675 Market St. Rooms 912 and 913 |
CS 171 - 084 and 086 |
Friday 11:00 AM - 12:50 PM |
Andy Chek, Giang Doan, John Greaves, Sarar Aseer |
3675 Market St. Rooms 912 and 913 |
Course Instructors
Prof. Mark W. Boady
Electronic Mail Address: mwb33@drexel.edu
Webpage: http://www.cs.drexel.edu/~mwb33/
Office: 3675 Market – Room 1058
Office Hours:Wednesday 2-4 (online until on-campus classes resume)
Prof. Adelaida A. Medlock
Electronic Mail Address: aalban@drexel.edu
Webpage: http://www.cs.drexel.edu/~aalban/
Office: 3675 Market – Room 1064
Office Hours: Tuesdays 3:00 - 5:00 PM - ONLINE: https://drexel.zoom.us/j/83560397828
Teaching Assistants / Graders
Ahnaf An Nafeee
Akshiv Bansal
Andy Chek
Emily Johns
Giang Doan
Ibrahim Elsaid
Jashanpreet Singh
John Greaves
Kevin Li
Lillian Dourlain
Lu Patton
Matthew Chong
Mukul Periwal
Saadiya Allahbaksh
Sarar Aseer
Selim Genel
Tri Le
TA Office Hours: In person office hours will be conducted at the CLC located at 3675 Market St. Room 1066. Online office hours will be conducted via Discod and Zoom.
TA Office Hours Schedule: https://www.cs.drexel.edu/clc
TA Contact Info: can be found under the Faculty Information section of Bb Learn. Contact your TA through the CS 171 Discord server 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 Objectives
By the end of the course students should be able to:
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 171-172) and is a required course for students majoring in computer science, software engineering, 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 2022
Author: Bailey Miller
ISBN-13: 979-8-203-92224-3
Buy: zyBooks.com
Copyright: 2014, 2015, 2016, 2018, 2019, 2020, 2021 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 December 20, 2021 and the cutoff to subscribe is March 12, 2022. Subscriptions will last until April 2, 2022.
NOTE: We recommend that if possible, you purchase the book directly from ZyBooks.com as the bookstore has a different (higher) price to the textbook.
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, 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/.
Grade Computation
Labs |
15% |
Homework |
15% |
Readings |
10% |
Midterm Exam |
30% |
Final Exam |
30% |
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+ |
65 - 69.99 |
D |
60 - 64.99 |
F |
0 - 59.99 |
Grading Policies
Readings
Homework
Labs
Midterm / Final Exam
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 Resources
Computer/Software Help
CCI Commons (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 behavior 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 online office hours will be asked to stop the disruptive behavior. If they do not stop, the student will be asked to leave the online session, and a formal complaint will be filed with the Office of Student Conduct and Community Standards.
Statement on Recording Lectures
Appropriate Use of Course Materials
It is important to recognize that some or all of the course materials provided to you are the intellectual property of Drexel University, the course instructor, or others. Use of this intellectual property is governed by Drexel University policies, including the IT-1 policy found at: https://drexel.edu/it/about/policies/policies/01-Acceptable-Use/
Briefly, this policy states that all course materials including recordings provided by the given prior written approval by the University. Doing so may be considered a breach of this policy and will be investigated and addressed as possible academic dishonesty, among other potential violations. Improper use of such materials may also constitute a violation of the University’s Code of Conduct found at: https://drexel.edu/cpo/policies/cpo-1/ and will be investigated as such.
Recording of Class Activities:
In general, students and others should not record course interactions and course activities in lecture, lab, studio or recitation.
Students who have an approved accommodation from the Office of Disability Resources to record online lectures and discussions for note taking purposes should inform their course instructor(s) of their approved accommodation in advance. The recording of lectures and discussions may only be carried out by the students enrolled in the class who have an approved accommodation from Disability Resources with their instructors’ prior knowledge and consent. Students with approved accommodations may be asked to turn off their recorder if confidential or personal information is presented.
If a student has any comments, concerns, or questions about provided class materials and/ or recording, talk to your course instructor first. If this does not resolve the issue, you can also reach out to the Department Head, and use the process described for a grade appeal to move your concern forward. The process described for grade appeals can be found at: https://drexel.edu/provost/policies/grade-appeals/
Tentative Course Schedule
Schedule Subject to change at any time.
Note: All due dates and times are on Eastern Time Zone.
Week |
Topics |
Reading |
Lab |
Notes |
1 (1/2/2022) |
Syllabus Review Introduction to Python |
ZyBooks 1.1 - 1.13 ZyBooks 2.1 - 2.12 |
Lab 1 Due at the end of lab session |
Week 1 Reading Due Sunday 1/9/22 by 11:59PM
Homework 1 Due Friday 1/14/22 by 11:59PM |
2 (1/9/2022) |
Arithmetic Expressions |
ZyBooks 4.1 - 4.7 |
Lab 2 Due at the end of lab session |
Week 2 Reading Due Sunday 1/16/22 by 11:59PM
Homework 2 Due Friday 1/21/22 by 11:59PM |
3 (1/16/2022) |
Data Types |
ZyBooks 6.1 - 6.13 |
Lab 3 Due at the end of lab session |
Week 3 Reading Due Sunday 1/23/22 by 11:59PM
Homework 3 Due Friday 1/28/22 by 11:59PM |
4 (1/23/2022) |
Branching |
ZyBooks 8.1 - 8.17 |
Lab 4 Due at the end of lab session |
Week 4 Reading Due Sunday 1/30/22 by 11:59PM
Homework 4 Due Friday 2/4/22 by 11:59PM |
5 (1/30/2022) |
Loops and Iteration |
ZyBooks 10.1 - 10.24 |
Lab 5 Due at the end of lab session |
Week 5 Reading Due Sunday 2/6/22 by 11:59PM
Homework 5 Due Friday 2/11/22 by 11:59PM |
6 (2/6/2022) |
Midterm Eam |
None |
None |
None |
7 (2/13/2022) |
Functions |
ZyBooks 13.1-13.18 |
Lab 6 Due at the end of lab session |
Week 7 Reading Due Sunday 2/20/22 by 11:59PM
Homework 6 Due Friday 2/25/22 by 11:59PM |
8 (2/20/2022) |
Exceptions Files Modules |
ZyBooks 15.1-15.16 |
Lab 7 Due at the end of lab session |
Week 8 Reading Due Sunday 2/27/22 by 11:59PM
Homework 7 Due Friday 3/4/22 by 11:59PM |
9 (2/27/2022) |
Recursion Linear Search Binary Search |
ZyBooks 17.1-17.12 |
Lab 8 Due at the end of lab session |
Week 9 Reading Due Sunday 3/6/22 by 11:59PM
Homework 8 Due Friday 3/11/22 by 11:59PM |
10 (3/6/2022) |
Sorting Algorithms |
ZyBooks 19.1-19.7 |
Lab 9 Due at the end of lab session |
Week 10 Reading Due Sunday 3/13/22 by 11:59PM |
11 (3/13/2022) |
Final Exam DATE: Tuesday March 15 TIME: 8:00 - 10:00 AM ROOM: Bossone Research Entr. Center in the AUDITORIUM Final Exam Covers all Material Weeks 1 - 10 |