CSC 242-402 and 402L

   

Introduction to Computer Science II

Fall 2023

Class sessions: Monday and Wednesday, 10:10 am – 11:40 am, CDM Center 658

Labs: Tuesday, 11:50 am-1:20 pm, CDM Center 658

 

Professor: Adam J. Hecktman

Lab instructor: Bharath Ranga Reddy Juturu Chinna

 

 

Contact information

Office: Daley 200B

243 S Wabash Ave

Chicago, Illinois 60604

Phone: (312) 493-1612

ahecktma@depaul.edu

https://www.linkedin.com/in/adamhecktman/

Office hours

Mondays

(in-person or online)

Daley 200B or Zoom

12:00-1:30 pm

Monday office hours are held in 200B in Daley.  Please knock hard on the door so I can hear you. I am available during office hours in person, by phone, using Zoom, or by e-mail.  If you wish to meet with me using Zoom, please request an appointment in advance so that I can set up the meeting.

If you need office hours outside of the designated time, please arrange an appointment well in advance, and I will share a Zoom link with you to be used for our meeting.

Please make use of my office hours.  Asking questions about the assessments, course notes and examples, or the readings can improve your understanding enormously.  It will also let me get to know you and help me know if I need to review a topic with the class. 

Course technologies

This course uses D2L to enable our interactions:

·        Please check this site and the discussion forum regularly.

Prerequisites

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). This course is an order of magnitude more complex than CSC 242.  I will assume that:

Course topics and learning goals

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:

Course Calendar

The following gives all the important dates for this course.  The topics covered are subject to change.

Week

Date

Topic/Deadline

 

1

Wednesday, September 6, 2023

Object-oriented programming

 

2

Monday, September 11, 2023

Object-oriented programming

 

Tuesday, September 12, 2023

Lab 1

 

Wednesday, September 13, 2023

Object-oriented programming

 

 

3

Monday, September 18, 2023

Object-oriented programming

 

Tuesday, September 19, 2023

Lab 2

 

Tuesday September 19, 2023

Last day to drop the class with no penalty

 

Wednesday, September 20, 2023

Object-oriented programming

 

 

4

Monday, September 25, 2023

Object Oriented Programming

Pre-recorded, not in the classroom

 

Tuesday, September 26, 2023

Lab 3

 

Wednesday, September 27, 2023

Graphical user interface development

 

5

Monday, October 2, 2023

Graphical user interface development

 

Tuesday, October 3, 2023

Lab 4

 

Wednesday, October 4, 2023

Graphical User Interface Development

 

 

6

Monday, October 9, 2023

Midterm exam

 

Tuesday, October 10, 2023

Lab 5

 

Wednesday, October 11, 2023

Recursion

7

Monday, October 16, 2023

Recursion

 

Tuesday, October 17, 2023

Lab 6

 

Wednesday, October 18, 2023

Recursion

 

 

 

8

Monday, October 23, 2023

Recursion

 

Tuesday, October 24, 2023

Lab 7

 

Tuesday, October 24, 2023

Last day to withdraw from classes

 

Wednesday, October 25, 2023

Recursion

 

9

Monday, October 30, 2023

HTML/Web search fundamentals

 

Tuesday, October 31, 2023

Lab 8

 

Wednesday, November 1, 2023

Web search fundamentals

 

10

Monday, November 6, 2023

Web search fundamentals

 

Tuesday, November 7, 2023

Lab 9

 

Wednesday, November 8, 2023

Database fundamentals

 

 

11

Monday, November 13, 2023

Database fundamentals/Finals Prep

 

Wednesday, November 15, 2023

Final Exam

 

Textbook

The recommended textbook for the course is Introduction to Computing using Python: An Application Development Focus, Second Edition, Ljubomir Perković, John Wiley & Sons, 2015. If you choose to use the textbook, use the electronic version since it contains case studies that we will be using. The electronic text has ISBN 978-1-118-89105-6. If you like, it is available directly from the publisher here. 

Grading policy

Course assessments include lab exercises, quizzes, programming homework assignments, and a midterm and final exam. The course grade will be computed as follows:

Assessment

Percentage

Lab exercises

10 %

Homework assignments

20 %

Midterm exam

35 %

Final exam

35 %

All students will be required to sign and submit an Academic Integrity pledge at the start of the quarter. The Academic Integrity pledge will be posted on the D2L site. The pledge must be signed and submitted as a part of the first homework assignment. Students who violate this agreement are violating the Academic Integrity policy of DePaul University. See the section on Academic Integrity below for more information about that policy and the penalties for violating it.

To do well in this class, you must participate in the class sessions regularly, complete all of the labs on time, complete class activities, understand the content in the lecture and lecture notes, start work on the assignments early, submit the assignments on time, and ask questions early and often.  The answers to the programming assignments, the lab exercises, and the exam questions should be written in a way that is rigorous, clear, and concise.

Homework assignments will be issued the day following class and will be due the following week (Wednesday) before the start of class. Homework assignments submitted after the start of class on Wednesday will have a 10% deduction per day.  Since homework is reviewed in class, there will be no exception to this deduction.  Homework is an important element of the class and will make up 20% of your grade.

Lab exercises

Every Tuesday, you will have lab exercises. You are highly encouraged to attend the scheduled lab session, which takes place Tuesday, 11:50am – 1:20pm in lab 658 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. If you cannot attend the lab sessions, ask the Teaching Assistant (TA) if you are able to use a Zoom help session.  This will be at the discretion of the TA.

Labs will be due by 9:00 pm on Tuesday night. Labs submitted by the deadline will be graded for full credit. Labs submitted no later than 12 hours after the deadline will automatically lose 10% of the points. No lab submissions are accepted more than 12 hours after the deadline for any reason, including upload of the wrong file.  Lab exercises make up 10% of your grade, so missing labs will cost you on the final grade.

Programming homework assignments

Each week you will have a programming assignment. You can consult with your instructor, the teaching assistant, and the CDM tutors, but you may not under any circumstances submit code that you have not written, nor may you consult anyone beyond those specified when completing your assignments, including using generative AI to create your code. 

The deadline to turn in your homework will be before class starts on Wednesdays.  This way, we can review the solutions to the assignment at the beginning of class.  Again, because we are reviewing code from your peer students on Wednesdays, there will be strict adherence to the late submission penalty as described below.

Assignments submitted by the deadline will be graded for full credit.  The submissions should include screenshots of your code running against test data.  Assignments submitted after the deadline will automatically lose 10% of the points. No assignments are accepted more than 24 hours after the deadline for any reason, including submission of the wrong file

Midterm and final exams

The midterm and final exams will not be cumulative. The midterm exam will take place on October 9th, 2023, and the final exam will take place on November 15th, 2023. The exams will take place in a lab. Both exams will be held in person.  Both exams will require you to write Python code. The details about how the exams will be given will be shared later in the quarter. No late exam submissions will be accepted for any reason.

Make-up exams will not be given.  If you wish to petition for a make-up exam, you must notify me in advance and provide documented evidence of the emergency that will cause you to miss the exam.  Failure to contact me in advance of the exam date and time will disqualify you from being allowed to take a make-up exam. If a make-up exam is granted, it will be of a form of my choosing.

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 tailor teaching methods continuously 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 continuing 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.

Academic integrity

The course adheres to DePaul University's Academic Integrity Policy.  For complete information about Academic Integrity at DePaul University, please see http://academicintegrity.depaul.edu/.

Cheating is any action that violates university norms or instructor's guidelines for the preparation and submission of assignments. This includes, but is not limited to, unauthorized access to examination materials prior to the examination itself; use or possession of unauthorized materials during the examination or quiz; having someone take an examination in one's place; copying from another student; unauthorized assistance to another student; or acceptance of such assistance. 

Plagiarism involves the presentation of the work of another as one's own. Plagiarism includes, but is not limited to the following: the direct copying of any source, such as written and verbal material, computer files, audio disks, video programs or musical scores, whether published or unpublished, in whole or part, without proper acknowledgment that it is someone else's; copying of any source in whole or part with only minor changes in wording or syntax, even with acknowledgment; submitting as one's own work a report, examination paper, computer file, lab report or other assignments that have been prepared by someone else (including research papers purchased from any other person or agency or programs written using the assistance of an AI tool); the paraphrasing of another's work or ideas without proper acknowledgment; working so closely with another person other than those authorized so as to produce identical code.

All students are expected to abide by the University's Academic Integrity Policy which prohibits cheating and other misconduct in student coursework. The use of others' web/publication content (text, graphics, code) is regarded as plagiarism if credit is not given (see the above description of plagiarism). Using materials that the student prepared for other purposes (e.g., for another course or for his/her work) needs the course instructor's prior permission. Publicly sharing or posting online any prior or current materials from this course (including exam questions or answers), is considered 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.

A charge of cheating and/or plagiarism is always a serious matter.  It can result in an automatic F in the course and possible expulsion.

Covid-19 health and safety precautions

Keeping our DePaul community safe is of utmost importance in the pandemic. Students, faculty and staff are expected to (1) wear a mask if required while indoors on campus; (2) refrain from eating and drinking in classrooms; (3) keep current with their COVID-19 vaccinations or exemptions; (4) stay home if sick; (5) participate in any required COVID-19 testing; (6) complete the online Health and Safety Guidelines for Returning to Campus training; and (7) abide by the City of Chicago Emergency Travel Advisory.

The recommendations may change as local, state, and federal guidelines evolve. Students who do not abide by the mask requirement may be subject to the student conduct process and will be referred to the Dean of Students Office. Students who have a medical reason for not complying with any requirements should register with DePaul's Center for Students with Disabilities (CSD).

Mental health and academic assistance

Balancing the hard work of achieving your educational goals with the other demands of life is difficult at the best of times. For many of us, for a variety of reasons, things are more difficult now. I want to make sure you feel comfortable reaching out to me for support. The university also has great resources just a phone call or email away. These have been created and maintained for you, so use them:

·        DePaul University Counseling Services: Mental health is as important as physical health, and there are professionals a phone call away: (773) 325-7779 or 911 for emergency situations. You can find more information here: https://offices.depaul.edu/student-affairs/about/departments/Pages/ucs.aspx

·        The DePaul Dean of Students can help you with a wide range of topics, including figuring out if you should withdraw or apply for an incomplete: https://offices.depaul.edu/student-affairs/about/departments/Pages/dos.aspx

·        There are a lot of additional, more specific resources listed with the Office of Student Affairs, including crisis hotlines and sexual assault resources: https://offices.depaul.edu/student-affairs/support-services/counseling/Pages/Crisis-Hotlines.aspx

Incomplete

An incomplete grade is given only for an exceptional reason such as a death in the family, a serious illness, etc. Any such reason must be documented. Any incomplete request must be made at least two weeks before the final and approved by the Dean of the College of Computing and Digital Media. Any consequences resulting from a poor grade for the course will not be considered as valid reasons for such a request.