Winter 2025
3 Credits
Section | Day and Time | Course Instructor | Room |
---|---|---|---|
CS 171 - A | Monday 09:00 AM - 10:50 AM | Prof. Adelaida Medlock | Bossone Auditorium |
CS 171 - B | Monday 11:00 AM - 12:50 PM | Prof. Daniel Moix | Bossone Auditorium |
CS 171 - C | Monday 01:00 PM - 02:50 PM | Prof. Mark Boady | Stratton 113 |
Section | Day and Time | Lab Assistants | Room |
---|---|---|---|
060 | Wednesday 1:00 PM - 2:50 PM |
Omesh Dwivedi |
3675 Market - Room 910-911 |
061 | Thursday 09:00 AM - 10:50 AM |
Prayuja Teli |
3675 Market - Room 1054-1055 |
062 | Thursday 11:00 AM - 12:50 PM | Prayuja Teli Omesh Dwivedi Vanessa Trinh Anh Nguyen |
3675 Market - Room 1054-1055 |
064 | Friday 09:00 AM - 10:50 AM | Robert Raharjo Saquib Baig Ryan Brosius Anh Nguyen |
3675 Market - Room 1054-1055 |
065 | Friday 11:00 AM - 12:50 PM | Robert Raharjo Oscar Zhang Ryan Brosius Anh Nguyen |
3675 Market - Room 1054-1055 |
066 | Friday 01:00 PM - 02:50 PM | Robert Raharjo Josh Morris Mozen Moazzam Matt Nguyen |
3675 Market - Room 1054-1055 |
Prof. Mark Boady
Electronic Mail Address: mwb33@drexel.edu
Webpage: https://boadycs.gitlab.io/about-mark/
Office: 3675 Market – Room 1063
Office Hours: Tuesdays 3:00 PM - 4:00PM; Others by Appointment
Prof. Adelaida Medlock
Electronic Mail Address: aalban@drexel.edu
Webpage: https://www.cs.drexel.edu/~aalban/
Office: 3675 Market – Room 1064
Office Hours: Tuesdays 3:00 PM - 5:00 PM; Others by Appointment
Prof. Daniel Moix
Electronic Mail Address: dwm69@drexel.edu
Webpage: https://drexel.edu/cci/about/directory/M/Moix-Daniel/
Office: 3675 Market – Room 1058
Office Hours: Mondays and Wednesdays 1:30pm - 3:00pm; Others by Appointment
TA Office Hours: will be conducted at the CLC located at 3675 Market St. Room 1066.
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
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.
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.
By the end of the course students should be able to:
This course is open to all students interested 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.
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.
Title: Think Python
Edition: 3rd
Author: Allen B. Downey
ISBN-13: 9781098155438
Free: https://allendowney.github.io/ThinkPython/
Copyright: 2023
Price: Free
NOTE: While the bookstore has a physical copy of the textbook available for purchase, it can be accessed free using the link above.
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.
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/.
Labs | 15% |
Homeworks | 15% |
Reading Quizzes | 10% |
Lecture Activities | 10% |
Midterm Exam | 25% |
Final Exam | 25% |
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.
A+ | 97 - 100 |
A | 93 - 98.99 |
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 |
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.
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/studentlife/community-standards/code-of-conduct/academic-integrity-policy
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, you will receive an email from your course instructor. 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:
Artificial intelligence tools such as large language models (e.g., ChatGPT) are not permitted to be used in preparing submitted work for this course. Further information on university policies regarding the use of artificial intelligence tools in the classroom is available at https://drexel0.sharepoint.com/:w:/s/DrexelOfficialPolicyCatalog/ERCrNmAQVglEmsu12S3g_ioB6JpHqP2UGvzxlLYc433cpw
CCI Commons (3675 Market #1067): https://drexel.edu/cci/current-students/icommons/
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/disability-resources/support-accommodations/student-family-resources, 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:
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.
CCI faculty believes and embraces diversity for it fosters innovative, transformative classrooms where optimal learning for students of all identities and backgrounds can occur.
For more information on Diversity and Inclusion in CCI, please visit: https://drexel.edu/cci/about/diversity-equity-and-inclusion-council/
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 and will be investigated as such.
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://drexel0.sharepoint.com/:w:/s/DrexelOfficialPolicyCatalog/ET1tL4vqf6lPnz5gFmcpiW8BJNBqVLCrtZBcX4JMvnoOpg
Schedule Subject to change at any time.
Note: All due dates and times are on Eastern Time Zone.
Week |
Topics |
Reading |
Lab |
Homework |
1 (1/6/2025) |
Syllabus Review Introduction to Python |
Think Python Chapters 1 through 4 Reading Quiz Due Sunday 1/12/25 by 11:59PM |
Week 1 Lab Due by end of your lab session |
Week 1 Homework Due Tuesday 1/14/25 by 11:59PM |
2 (1/13/2025) |
Arithmetic Expressions and Functions |
Think Python Chapters 5 & 6 Reading Quiz Due Sunday 1/19/25 by 11:59PM |
Week 2 Lab Due by end of your lab session |
Week 2 Homework Due Tuesday 1/21/25 by 11:59PM |
3 (1/20/2025) |
Conditional Statements & Intro to Recursion |
Think Python Chapters 7 & 8 Reading Quiz Due Sunday 1/26/25 by 11:59PM |
Week 3 Lab Due by end of your lab session |
Week 3 Homework Due Tuesday 1/28/25 by 11:59PM |
4 (1/27/2025) |
While Loops and Strings |
Think Python Chapter 9 Reading Quiz Due Sunday 2/2/25 by 11:59PM |
Week 4 Lab Due by end of your lab session |
Week 4 Homework Due Tuesday 2/4/25 by 11:59PM |
5 (2/3/2025) |
Lists and For Loops |
Think Python Chapters 5 & 10
Reading Quiz Due Sunday 2/16/25 by 11:59PM |
Week 5 Lab Due by end of your lab session |
Week 5 Homework Due Tuesday 2/11/25 by 11:59PM |
6 (2/10/2025) |
Midterm Exam |
None | None |
None |
7 (2/17/2025) |
Revisiting Recursion |
Think Python Chapters 12 & 13 Reading Quiz Due Sunday 2/23/25 by 11:59PM |
Week 7 Lab Due by end of your lab session |
Week 7 Homework Due Tuesday 2/25/25 by 11:59PM |
8 (2/24/2025) |
Files, Dictionaries, and Exceptions |
Linear Search, Binary Search
Reading Quiz Due Sunday 3/2/25 by 11:59PM |
Week 8 Lab Due by end of your lab session |
Week 8 Homework Due Tuesday 3/4/25 by 11:59PM |
9 (3/3/2025) |
Binary Search & Advanced Features of Functions |
Reading Quiz Due Sunday 3/9/25 by 11:59PM |
Week 9 Lab Due by end of your lab session |
Week 9 Homework Due Tuesday 3/11/25 by 11:59PM |
10 (3/10/2025) |
Sorting (Insertion and Quick) |
None |
Week 10 Lab Due by end of your lab session |
|
11 (3/17/2025) |
Final Exam Date: TBD Time: TBD Final Exam Covers all Material Weeks 1 - 10 |