CSC 242 Introduction to Computer Science II

Adam Hecktman

Office: Daley 200B
Winter 2022-2023
Class number: 31305
Section number: 801L
Th 5:00PM - 6:30PM
CDM 00801 Loop Campus

Download syllabus


This course is the second of a two-course sequence introducing Computer Science skills of problem solving, algorithm development and programming using Python. In particular, the concept of a class and object oriented programming will be motivated and introduced.

After you have taken this class:

  • You will strengthen your Python programming skills
  • You will know how to design classes and understand the fundamental principles of object-oriented programming
  • You will be able to design basic graphical user interfaces
  • You will be able to apply recursion as a problem-solving and programming technique
  • You will be able to write simple Internet client programs


The recommended textbook for the course is Introduction to Computing using Python: An Application Development Focus, Second Edition, Ljubomir Perkovic, John Wiley & Sons, 2015. Make sure you have the electronic version of the text since it contains case studies that we will be using. The electronic text has ISBN 978-1-118-89105-6. You can buy the ebook directly from the publisher if you like:


Lab exercises

Every Thursday you will have lab exercises available at 5:00 pm and due at 10 pm. You are highly encouraged to attend the scheduled lab session which takes place 5:00pm-6:30pm in lab 801 of the CDM Center at 243 S. Wabash Ave. Students attending the lab in person will have priority for answers and help from the teaching assistant. Your teaching assistant is Marcus Koseck ( If for whatever reason you cannot attend the lab sessions, you can log into a Zoom help session conducted by the TA. You can find the link for the Zoom lab sessions in the page describing lab logistics and grading posted to D2L as well as in the course calendar on D2L.

Labs submitted by the deadline will be graded for full credit. Labs submitted no later than 12 hours after the deadline automatically will lose 15% of the points. No lab submissions are accepted more than 12 hours after the deadline for any reason, including upload of the wrong file. The lowest lab score will be dropped in the calculation of your course grade.


You must have taken CSC 241: Introduction to Computer Science or an equivalent course that introduces problem-solving techniques and programming in Python and earned a passing grade (C- or better). I will also assume that:

  • You know how to create, debug, compile, and run Python, and you use a reasonable coding style (i.e. your code is easy to read and relatively concise)
  • You know Python's basic control structures and types
  • You can solve basic computing problems
  • You are comfortable with at least one Integrated Development Environment (IDE – such as IDLE, Jupyter Notebooks, Visual Studio Code, etc.)

No Lab

Lab 1 Lab 2 Lab 3 Lab 4 No lab Lab 5 Lab 6 Lab 7 Lab 8

School policies:

Changes to Syllabus

This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.

Online Course Evaluations

Evaluations are a way for students to provide valuable feedback regarding their instructor and the course. Detailed feedback will enable the instructor to continuously tailor teaching methods and course content to meet the learning goals of the course and the academic needs of the students. They are a requirement of the course and are key to continue to provide you with the highest quality of teaching. The evaluations are anonymous; the instructor and administration do not track who entered what responses. A program is used to check if the student completed the evaluations, but the evaluation is completely separate from the student’s identity. Since 100% participation is our goal, students are sent periodic reminders over three weeks. Students do not receive reminders once they complete the evaluation. Students complete the evaluation online in CampusConnect.

Academic Integrity and Plagiarism

This course will be subject to the university's academic integrity policy. More information can be found at If you have any questions be sure to consult with your professor.

All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered to be providing unauthorized assistance prohibited by the policy. Both students who share/post and students who access or use such materials are considered to be cheating under the Policy and will be subject to sanctions for violations of Academic Integrity.

Academic Policies

All students are required to manage their class schedules each term in accordance with the deadlines for enrolling and withdrawing as indicated in the University Academic Calendar. Information on enrollment, withdrawal, grading and incompletes can be found at

Students with Disabilities

Students who feel they may need an accommodation based on the impact of a disability should contact the instructor privately to discuss their specific needs. All discussions will remain confidential.
To ensure that you receive the most appropriate accommodation based on your needs, contact the instructor as early as possible in the quarter (preferably within the first week of class), and make sure that you have contacted the Center for Students with Disabilities (CSD) at:
Lewis Center 1420, 25 East Jackson Blvd.
Phone number: (312)362-8002
Fax: (312)362-6544
TTY: (773)325.7296