Course Syllabus

Course Information

Course name and number: CPSC 1302K - Computer Science II

Credit Hours: 4

Course Description: This course is the second in a two course sequence designed to introduce students to the fundamental concepts of computer science and programming. It focuses on the design of algorithms to solve problems and the implementation of those algorithms in the programming language Java. Students will learn to manipulate arrays, to implement inheritance and polymorphism, exception handling, and recursive programming.

Required Competencies/Prerequisites: CPSC 1301K with a "C" or better

Course Offering (days/times and room): 9:00 – 10:50 AM Mondays, Wednesdays and Fridays in SCCT 405

Section: 01

Course Registration Number (CRN): 26309

Websites:

The last day to drop without a grade and receive a 100% refund: Friday, January 10, 2025

Deadline to withdraw with a WP (Withdraw Pass):  Friday, March 7, 2025

Instructor Information

Textbooks and Materials

Required Textbooks

CS Awesome Textbook CS Awesome By Barb Ericson and Beryl Hoffman.
An interactive textbook that even allows you to type in code and execute it on the same page as the material. Also, it has useful features like interactive quizzes and tracing of code execution. This textbook covers most of the topics for this class.
Cost: Free

Java, Java, Java: Object-Oriented Problem Solving, 3rd edition cover Java, Java, Java: Object-Oriented Problem Solving (2024E Edition) by Ralph Morelli, Ralph Walde, Beryl Hoffman and David Cooper.
Provides a detailed explanation of all of the topics covered in class.
Cost: Free

Other Textbooks

Think Java
Cost: Free

Java for Python Programmers
Cost: Free
Provides an interactive environment that allows you to type in code and run them. Also has useful features like interactive quizzes and tracing of code execution.

Introduction to Programming Using Java (Eighth Edition) by David J. Eck
Cost: Free

Java with BlueJ (Parts 1 & 2) by Ron McFadyen
Cost: Free

Modules

  1. Orientation
  2. Introduction to Java
  3. Java Objects & Classes
  4. Debugging & User Interfaces
  5. Java Language and Structures
  6. Inheritance & Polymorphism (& Abstract Classes and Interfaces)
  7. Arrays & Generics
  8. Exception Handling
  9. File I/O
  10. Recursion

Course Learning Outcomes

  1. The students will demonstrate the ability to read moderately complex programs written in a specific programming language and understand what these programs do.
  2. The students will demonstrate the ability to design algorithms utilizing the principles of object-oriented programming (classes, encapsulation, inheritance mechanisms, polymorphism) to solve moderately complex problems.
  3. The students will demonstrate the ability to design algorithms utilizing some principles of programming (exception handling and recursive programming) to solve moderately complex problems.
  4. The students will demonstrate the ability to write moderately complex programs in a specific programming language to implement these algorithms.
  5. The students will demonstrate the ability to follow specified style guidelines in writing programs, and understand how the guidelines enhance readability and promote correctness in programs.
  6. The students will demonstrate the ability to edit, compile, debug and run programs in a specific programming language.

Activity Expectations and Assignment Requirements

Attendance

Attendance is required by the university and will be recorded at the beginning of each class. It is the student's responsibility to independently cover any materials missed. Makeup quizzes or exams are generally not given, so please make sure you are present for all quizzes and exams.

I expect each student to be in attendance for each class in-person. Attendance will be calculated by your arrival and duration in class. It is your responsibility to make sure your attendance gets recorded correctly for every class meeting. If you can not make a class, please inform me and get the relevant materials from a classmate. For this course, attendance applies to both lecture and lab (the first and second meeting times each day).

Students that do not attend both of the first two lectures may be dropped from the course. For this course, excessive absences (the point at which you can be dropped from the course and assigned a WF (Withdrawal Failing)) is defined as missing the equivalent of two or more weeks of classes. Refer to the CSU Catalog (https://catalog.columbusstate.edu/academic-regulations/undergraduate-academic-regulations/) for more information on class attendance and withdrawal.

Computers are permitted in lecture for note taking and completing exercises. Other activities such as web surfing, stock trading, and social networking are inappropriate. Not only do they distract you but also others.

Attendance Bonus: Research shows a strong positive correlation between attending class and a good grade in that class. To make that correlation even more positive, the following attendance bonus is offered. If a student attends each class, then their overall course grade will be increased by 1%. If a student only misses the equivalent of one class, then 0.67% will be added; if a student only misses the equivalent of two classes, then 0.33% will be added. No bonus will be applied for students missing the equivalent of three or more classes.
Note: University events with required attendance will not penalize your attendance bonus.

AI Policy

Students are not allowed to use Generative AI tools like ChatGPT or Microsoft CoPilot on graded assignments. All submitted work must be produced by the students themselves. Use of a Generative AI tool to complete a graded assignment is considered an act of academic dishonesty. Students may use Generative AI tools as a study tool in this course. However, they should be aware that these AI tools may not always be reliable.

Practice Assignments

You have the opportunity to complete several practice assignments this semester to help you learn and retain the techniques that you will learn.

Code submitted to codePost.io must be compatible with Java 8.

Practice Assignment Late Policy

For the practice assignments hosted on codePost.io, you are given a week of grace (no penalty) after which you can submit an assignment late for reduced points (half off each week that it's late). For the practice assignments hosted on CodeWorkout, you have one week after an assignment is due to turn it.

Projects

There will be about 4 projects. Projects must be written in Java. They are due at 10:00 PM Eastern Time on the assigned due date (unless indicated otherwise).

If an assignment contains portions that match other material (not provided by the instructor), zero points will be awarded. Additionally, an Academic Misconduct incident may be reported as well.
Students missing two or more projects will receive an F or FA in this course. It is recommended that you regularly keep a copy of your projects on a second device.

Code submitted to codePost.io must be compatible with Java 8.

Project Late Policy

A total of at most 4 late days will be granted for the entire semester for projects (and only for projects). (Sunday and Monday are counted as 1 day late.) For example, if Project 2 is turned in two days late and Project 3 is also turned in two days late, then all of the late days for the semester have been used. Project late days are automatically applied based on when you submit. After the late days are exhausted, projects will be reduced by 20% per day late (again counting Sunday and Monday as 1 day).

Project Recap

In addition to the projects, you have the opportunity to recapitulate about one of the projects in a proctored environment (the same environment as the Exams).

Exams

There will be two exams during the regular semester. They will be proctored using Respondus LockDown Browser. It is known to not work with the following devices:

Final Exam Time

The final exam time, Wednesday, April 30, 2025, 8:00 – 10:00 AM, will be used for presentations of the You Choose Projects.

Grading

Grading category weights:
Pie chart depicting: Practice Assignments 15%, Quizzes 20%, Projects 25%, Exams 30%, You Choose Project 10%
Each of the grading categories is capped at 100%.

Course letter grades are determined by the final course average according to the following chart:
Course Grade Calculation
% Range Course
Grade
90 – 100 A
80 – 89 B
70 – 79 C
60 – 69 D
<60 F

Expectations

WHAT YOU CAN EXPECT FROM ME

WHAT IS EXPECTED FROM YOU

Information regarding student rights and responsibilities can be found in the CSU Student Handbook.

As a student in this course, you are responsible to:

Time Commitment

The amount of time it will take you to complete the work for the course will depend on many factors, which will vary with each individual. The ACM recommends the following: "As a general guideline, the amount of out-of-class work is approximately three times the in-class time. Thus, a course that is listed as requiring 3 hours typically entails a total of 12 hours (3 in class and 9 outside)." Student in my classes typically spend more time than this guideline. Students will be expected to spend this time outside class reading the book, online materials and other materials; writing solutions to exercises and programming projects. It will be helpful to set aside regular study time when you can work uninterrupted.

Course Communication

E-mail

Tutoring Help

Computer Science Tutoring

Tutoring hours are Monday through Thursday, 11:00 AM to 7:00 PM, and Fridays 11:00 AM to 3:00 PM. If you would like to come to tutoring in-person, you may do so in SCCT 450. Tutors are also available online during those same times and on Saturdays 10:00 AM to noon. You can walk into the CS Tutoring lab and see if a tutor is available or you can visit the CougarVIEW course, Computer Science Online Tutoring for details about scheduling appointments. If you have questions about tutoring, please contact stone_jennifer2@columbusstate.edu.

Please note, a tutor's duty does NOT include doing your work for you. That would be a form of academic dishonesty. Your work is yours to complete. They are here to help when you get stuck, point you in the right direction, point out in the book where you can find the topics, explain a topic better, etc.

Academic Center for Tutoring (ACT)

The ACT at CSU offers the following services free for all enrolled CSU students:

  1. Appointment-based one-on-one or small group tutoring in a variety of core courses, writing help in all courses, and assistance with general study skills and online learning skills. Sessions can be online or face-to-face in the center located in Simon Schwob Memorial Library, second floor. Use Accudemia to make an appointment or contact the center for assistance.
  2. Drop-in math lab in the library basement (room 019) that is open for limited hours (see website for exact days/times).
  3. A limited amount of after-hours online tutoring through tutor.com. Access is through your courses in CougarVIEW.
Visit the ACT website for more information about the ACT and tutor.com: https://www.ColumbusState.edu/academic-center-for-tutoring/. If you have any questions or need help you can email act@ColumbusState.edu or call 706-507-8646.

Technical Requirements/ Support

See the CougarVIEW Starter Guide for support with navigating this system.

Hardware Requirements

See the System Checker here. (GeorgiaVIEW’s system checker is compatible with CougarVIEW.)

Software Requirements

Browser Plugins (.pdf files, QuickTime files, .mp4 files) can be obtained at a browser's website:

Privacy Policies

Below are the links to the privacy policies for the tools that we will be using in this course:

CSU Institution-wide Policies

Academic Honesty

Students: Please refer to the CSU Student Handbook (2024-2025) for complete information on academic honesty.

All students are expected to recognize and uphold standards of intellectual and academic integrity. As a basic and minimum standard of conduct in academic matters that students be honest and that they submit for credit only the products of their own efforts. Both the ideals of scholarship and the need for fairness require that all dishonest work be rejected as a basis for academic credit. They also require that students refrain from any and all forms of dishonorable or unethical conduct related to their academic work.

In an effort to foster an environment of academic integrity and to prevent academic dishonesty, students are expected to discuss with faculty the expectations regarding course assignments and standards of conduct. In addition, students are encouraged to discuss freely with faculty, academic advisers, and other members of the academic community any questions pertaining to the provisions of this policy.

Student handbook policies relevant to the use of AI (ChatGPT or other)

Academic Misconduct Regulation #4  

No student shall receive or give assistance in preparation of any assignment, essay, laboratory report or examination to be submitted as a requirement for any academic course in such a way that the submitted work can no longer be considered the personal effort of the student submitting the work. In cases where collaboration is permitted by the instructor (i.e., tutoring, peer review, artificial intelligence, machine learning, and similar instances of assistance), a special effort must be made to retain the distinction in the assistance received and the integrity of the student’s personal performance.

Academic Misconduct Regulation #5  

In some cases, permitted collaboration may border on academic irregularity; in the case of course requirements for a grade, it is the student’s responsibility to clarify the instructor’s policy. If the student is uncertain as to the direction of the instructor, it is the student’s responsibility to seek clarification from the instructor.

Academic Misconduct Regulation #6  

Plagiarism in any form is prohibited. When the ideas of another or works previously submitted by the student are incorporated into any assignment, they must be appropriately acknowledged.

ADA and 504 Statement

Columbus State University provides reasonable accommodations for all qualified persons under the Americans with Disabilities Act (ADA) and the Rehabilitation Act of 1973, Section 504. You may be eligible to receive accommodations to assist in programmatic and/or physical accessibility. We recommend that you contact the Center for Accommodation and Access located in Schuster Student Success Center, Room 102, 706-507-8755 as soon as possible if you think you are eligible for accommodations. The Center for Accommodation and Access can assist you in formulating a reasonable accommodation plan, in identifying additional resources, and in providing support. Accommodations may be able to assist you to meet the requirements. Technical support may also be available to meet your specific need. Please contact Sarah Secoy if you have questions. She can be reached at 706-507-8755 or at caa@columbusstate.edu.

Title IX Discrimination

Under Title IX of the Education Amendments of 1972, harassment based on sex, including non-consensual sexual contact, non-consensual sexual penetration, stalking, domestic and dating violence, and harassment or discrimination because of pregnancy or related conditions, is prohibited. If a student would like to file a complaint for Title IX discrimination or has any questions, please contact the CSU Title IX Coordinator (Sarah Secoy, Schuster 102, secoy_sarah@columbusstate.edu, 706.507.8757), Deputy Title IX Coordinator (Dr. Amber Dees, Richards Hall 313, 706-507-8634, dees_amber@columbusstate.edu) and/or the Office of Civil Rights (Atlanta Office, U.S. Department of Education, 61 Forsyth Street S.W., Suite 19T10, Atlanta, GA 30303-8927, 404.974.9406, OCR.Atlanta@ed.gov). 

CougarVIEW Accessibility Statement

CougarVIEW is our institution's version of D2L Brightspace, an online course platform. The accessibility page from the D2L website states, "We believe that every mind matters and access to high-quality learning should be universal...We constantly strive to ensure that our learning platforms work seamlessly with various assistive technologies to provide a great learning experience to people with diverse needs. We integrate the latest global accessibility standards into our product process and openly report conformance to the Web Content Accessibility Guidelines (WCAG) 2.1 Level AAA standards and compliance with Section 508 of the Rehabilitation Act, 1973." For more information go to D2L Accessibility.

CougarVIEW Privacy Statement

Read the CougarVIEW learning management system developer's (D2L Brightspace) privacy statement here.

Student Rights and Responsibilities

Information regarding student rights and responsibilities can be found in most current student handbook on the Resources for Students page.