CC 315 Syllabus

CC 315 - Data Structures & Algorithms II

Previous Versions

Instructor Contact Information

• Instructor: Safia Malallah (safia AT ksu DOT edu) _I use she/her pronouns. If you need assistance, please send an email to safia @ ksu.edu, cc’ing cis115-help@KSUemailProd.onmicrosoft.com. Avoid using the Canvas email function, as emailing this way ensures that your message reaches all instructors for this course, guaranteeing a swifter response. You can expect a response by the end of the next business day; feel free to reach out again if you don’t receive a response within 24 business hours.

• Office: DUE 2161

• Virtual Office Hours: Schedule a meeting with me: https://calendly.com/safiamalallah Appointments held via Zoom.

Graduate Teaching Assistants

• TBD

Prerequisites

• CC 310 - Data Structures & Algorithms I

Course Overview

Advanced data structures and related algorithms. Formal software development methods and software engineering fundamentals. Introduction to requirements analysis processes that provide the specification of algorithmic requirements.

Course Description

This course introduces advanced data structures, such as trees, graphs, and heaps. Several new algorithms using these data structures are covered. Students also learn software development methods and software engineering fundamentals and use those skills to develop projects of increasing size and scope effectively.

Major Course Topics

• Data Structures
  • Trees
  • Graphs
  • Heaps
• Algorithms
  • Graph Searching
  • Shortest Path
  • Minimal Spanning Tree
• Requirements Analysis
• Application to Domain Areas

Course Structure

These courses are being taught 100% online, and each module is self-paced. There may be some bumps in the road as we refine the overall course structure. Students will work at their own pace through a set of modules, with approximately one module being due each week. Material will be provided in the form of recorded videos, online tutorials, links to online resources, and discussion prompts. Each module will include a coding project or assignment, many of which will be graded automatically through Codio. Assignments may also include portions which will be graded manually via Canvas or other tools.

The assigments for this course is delivered through Python programming language.

All activities are individual effort. ‘Group’ work is not permitted.

For a Better Score

Students are granted the opportunity to

• Student can have the chance to redo One coding project for a better score.
  • Upon selecting the project for revision, students are required to send an email to the instructor.
  • A 24-hour window is provided for students to resubmit the improved work.
  • Requests for project redo will be accepted until week 15 of the course.
• One late penalty will be dropped

Codio

You are expected to use the Codio Editor. It is deliberately feature poor to place the burden of programming syntax, vocabulary and logic flow on the student. DO NOT CUT AND PASTE into the editor while coding your projects.

Exception, you may cut and paste from Codio, so if you accidently delete the starter code, or want to modify a section of code you made in the tutorial. INCLUDE a comment stating from where you ‘sourced’ the pasted section.

from Codio tutorial 3.4.P.7 with open(sys.argv[1]) as input_file:

try:     

    reader = input_file.readlines()

except:

    reader = sys.stdin

Grading

In theory, each student begins the course with an A. As you submit work, you can either maintain your A (for good work) or chip away at it (for less adequate or incomplete work). In practice, each student starts with 0 points in the gradebook and works upward toward a final point total earned out of the possible number of points. In this course, each assignment constitutes a portion of the final grade, as detailed below:

• 70% - Codio Programming Projects
• 30% - Codio Tutorials and Quizzes

Up to 5% of the total grade in the class is available as extra credit. See the Extra Credit - Bug Bounty assignment for details.

Letter grades will be assigned following the standard scale:

• 90% - 100% → A
• 80% - 89.99% → B
• 70% - 79.99% → C
• 60% - 69.99% → D
• 00% - 59.99% → F

How Project Grades are Assigned

The Projects you submit in Codio may have both an automatic and manual grading component.

Automatic Components: Codio automatically checks certain aspects of your code’s structure and functionality. The grade assigned by Codio is generally the ceiling of the score you can receive.

Manual Components: Once submitted your code may be reviewed and deductions take for:

Forbidden statements/Required statements: Some assignments may prohibit the use of certain built in functions and methods. Others may require the use of certain libraries and methods. Using prohibited statements and or skipping required statements will result in a ZERO for the project.

Cutting and Pasting into the Codio IDE (Project assignments): You are expected to do your work in Codio. Cutting and pasting from outside Codio is prohibited, may result in a zero and will trigger a closer plagiarism review.

Running from the terminal: Codio does not typically check for proper terminal input behavior. A project that does not compile and/or run from the terminal will result in a 25% reduction in your final score. The project should work for the sample inputs, and should not crash or print extraneous information.

Having extra methods/missing required methods: up to 10% deduction

Style Guide: see Pages

Late Work

Since this course is entirely online, students may work at any time and at their own pace through the modules. However, to keep everyone on track, there will be approximately one module due each week. Each graded item in the module will have a specific due date specified. All of the components of a module will be subject to the late policy if the module is submitted late. This penalty will be assessed via a single separate assignment entry in the gradebook, containing the sum of all grade reductions in the course for that student. Late assignments will not be accepted if they have been submitted more than 3 days after the due date, unless a special reason is provided and prior approval for an extension has been obtained before the due date.

For the purposes of recordkeeping, the submission time of the confirmation quiz in each module will be used to establish the completion time of the entire module in case of a discrepancy. This is because Codio may update submission times when assignments are regraded, but the quiz in Canvas should only be completed once.

However, even if a module is not submitted on time, it must still be completed before a student is allowed to begin the next module. So, students should take care not to get too far behind, as it may be very difficult to catch up.

Finally, all course work must be submitted on or before the last day of the semester in which the student is enrolled in the course in order for it to be graded on time.

If you have extenuating circumstances, please discuss them with the instructor as soon as they arise so other arrangements can be made. If you find that you are getting behind in the class, you are encouraged to speak to the instructor for options to make up missed work.

Incomplete Policy

Students should strive to complete this course in its entirety before the end of the semester in which they are enrolled. However, since retaking the course would be costly and repetitive for students, we would like to give students a chance to succeed with a little help rather than immediately fail students who are struggling.

If you are unable to complete the course in a timely manner, please contact the instructor to discuss an incomplete grade. Incomplete grades are given solely at the instructor’s discretion. See the official K-State Grading Policy for more information. In general, poor time management alone is not a sufficient reason for an incomplete grade.

Unless otherwise noted in writing on a signed Incomplete Agreement Form, the following stipulations apply to any incomplete grades given in Computational Core courses:

1. Students may receive at most two incompletes in Computational Core courses throughout their time in the program
2. Students will be given 6 calendar weeks from the end of the enrolled semester’s finals week to complete the course
3. Any modules in a future CC course which depend on incomplete work will not be accessible until the previous course is finished
4. For example, if a student is given an incomplete in CC 210, then all modules in CC 310 will be inaccessible until CC 210 is complete
5. Students understand that access to instructor and GTA assistance may be limited after the end of an academic semester due to holidays and other obligations
6. If a student fails to resolve an incomplete grade after 6 weeks, they will be assigned an ‘F’ in the course. In addition, they will be dropped from any other Computational Core courses which require the failed course as a prerequisite or corequisite.

Authorized Aid

All graded work is individual effort. You are authorized to use:

course’s materials, direct web-links from this course the appropriate languages documentation (https://docs.python.org/3/ or https://docs.oracle.com/javase/Links to an external site.) Email help received through 315 help email, CC - Instructors, GTAs Zoom/In-person help received from Instructors or GTA ACM help session (an on campus only resource) Most Tuesdays in EH 1116, 6:30PM. Tutors from the Academic Assistance Center or provided by K-State Athletics Use of on-line solutions whether for reference or code is prohibited. Use of previous semester’s answers, whether your own or another student’s is prohibited. Use of code-completion/suggestion tool’s, other than those we have installed in the Codio editor, is prohibitied.

Work Load

CC-315 is a three-hour course; most students find it more time consuming than CC-310.

Modules have been assigned so that the average amount of work (hours), based on past student performance, is somewhat consistent.

You may work ahead, but modules must be worked strictly in order. Also, if you are far ahead, it may take a bit longer to get help. We review the lessons every week so the support you get is not ’too advanced’; if you are pretty far ahead, we will need to ‘catch up’ to where you are to provide support.

Please note, modules are not equally weighted, some are worth far more than others.

Recommended Texts & Supplies

To participate in this course, students must have access to a modern web browser and broadband internet connection. All course materials will be provided via Canvas and Codio. Modules may also contain links to external resources for additional information, such as programming language documentation.

Subject to Change

The details in this syllabus are not set in stone. Due to the flexible nature of this class, adjustments may need to be made as the semester progresses, though they will be kept to a minimum. If any changes occur, the changes will be posted on the Canvas page for this course and emailed to all students.

Standard Syllabus Statements

Academic Honesty

Kansas State University has an Honor and Integrity System based on personal integrity, which is presumed to be sufficient assurance that, in academic matters, one’s work is performed honestly and without unauthorized assistance. Undergraduate and graduate students, by registration, acknowledge the jurisdiction of the Honor and Integrity System. The policies and procedures of the Honor and Integrity System apply to all full and part-time students enrolled in undergraduate and graduate courses on-campus, off-campus, and via distance learning. A component vital to the Honor and Integrity System is the inclusion of the Honor Pledge which applies to all assignments, examinations, or other course work undertaken by students. The Honor Pledge is implied, whether or not it is stated: “On my honor, as a student, I have neither given nor received unauthorized aid on this academic work.” A grade of XF can result from a breach of academic honesty. The F indicates failure in the course; the X indicates the reason is an Honor Pledge violation.

For this course, a violation of the Honor Pledge will result in sanctions such as a 0 on the assignment or an XF in the course, depending on severity. Actively seeking unauthorized aid, such as posting lab assignments on sites such as Chegg or StackOverflow, or asking another person to complete your work, even if unsuccessful, will result in an immediate XF in the course.

This course assumes that all your course work will be done by you. Use of AI text and code generators such as ChatGPT and GitHub Copilot in any submission for this course is strictly forbidden unless explicitly allowed by your instructor. Any unauthorized use of these tools without proper attribution is a violation of the K-State Honor Pledge.

We reserve the right to use various platforms that can perform automatic plagiarism detection by tracking changes made to files and comparing submitted projects against other students’ submissions and known solutions. That information may be used to determine if plagiarism has taken place.

Students with Disabilities

At K-State it is important that every student has access to course content and the means to demonstrate course mastery. Students with disabilities may benefit from services including accommodations provided by the Student Access Center. Disabilities can include physical, learning, executive functions, and mental health. You may register at the Student Access Center or to learn more contact:

• Manhattan/Olathe/Global Campus – Student Access Center
  • accesscenter@k-state.edu
  • 785-532-6441
• K-State Salina Campus – Julie Rowe; Student Success Coordinator
  • jarowe@k-state.edu
  • 785-820-7908

Students already registered with the Student Access Center please request your Letters of Accommodation early in the semester to provide adequate time to arrange your approved academic accommodations. Once SAC approves your Letter of Accommodation it will be e-mailed to you, and your instructor(s) for this course. Please follow up with your instructor to discuss how best to implement the approved accommodations.

Expectations for Conduct

All student activities in the University, including this course, are governed by the Student Judicial Conduct Code as outlined in the Student Governing Association By Laws, Article V, Section 3, number 2. Students who engage in behavior that disrupts the learning environment may be asked to leave the class.

Mutual Respect and Inclusion in K-State Teaching & Learning Spaces

At K-State, faculty and staff are committed to creating and maintaining an inclusive and supportive learning environment for students from diverse backgrounds and perspectives. K-State courses, labs, and other virtual and physical learning spaces promote equitable opportunity to learn, participate, contribute, and succeed, regardless of age, race, color, ethnicity, nationality, genetic information, ancestry, disability, socioeconomic status, military or veteran status, immigration status, Indigenous identity, gender identity, gender expression, sexuality, religion, culture, as well as other social identities.

Faculty and staff are committed to promoting equity and believe the success of an inclusive learning environment relies on the participation, support, and understanding of all students. Students are encouraged to share their views and lived experiences as they relate to the course or their course experience, while recognizing they are doing so in a learning environment in which all are expected to engage with respect to honor the rights, safety, and dignity of others in keeping with the K-State Principles of Community.

If you feel uncomfortable because of comments or behavior encountered in this class, you may bring it to the attention of your instructor, advisors, and/or mentors. If you have questions about how to proceed with a confidential process to resolve concerns, please contact the Student Ombudsperson Office. Violations of the student code of conduct can be reported using the Code of Conduct Reporting Form. You can also report discrimination, harassment or sexual harassment, if needed.

Netiquette

Online communication is inherently different than in-person communication. When speaking in person, many times we can take advantage of the context and body language of the person speaking to better understand what the speaker means, not just what is said. This information is not present when communicating online, so we must be much more careful about what we say and how we say it in order to get our meaning across.

Here are a few general rules to help us all communicate online in this course, especially while using tools such as Canvas or Discord:

• Use a clear and meaningful subject line to announce your topic. Subject lines such as “Question” or “Problem” are not helpful. Subjects such as “Logic Question in Project 5, Part 1 in Java” or “Unexpected Exception when Opening Text File in Python” give plenty of information about your topic.
• Use only one topic per message. If you have multiple topics, post multiple messages so each one can be discussed independently.
• Be thorough, concise, and to the point. Ideally, each message should be a page or less.
• Include exact error messages, code snippets, or screenshots, as well as any previous steps taken to fix the problem. It is much easier to solve a problem when the exact error message or screenshot is provided. If we know what you’ve tried so far, we can get to the root cause of the issue more quickly.
• Consider carefully what you write before you post it. Once a message is posted, it becomes part of the permanent record of the course and can easily be found by others.
• If you are lost, don’t know an answer, or don’t understand something, speak up! Email and Canvas both allow you to send a message privately to the instructors, so other students won’t see that you asked a question. Don’t be afraid to ask questions anytime, as you can choose to do so without any fear of being identified by your fellow students.
• Class discussions are confidential. Do not share information from the course with anyone outside of the course without explicit permission.
• Do not quote entire message chains; only include the relevant parts. When replying to a previous message, only quote the relevant lines in your response.
• Do not use all caps. It makes it look like you are shouting. Use appropriate text markup (bold, italics, etc.) to highlight a point if needed.
• No feigning surprise. If someone asks a question, saying things like “I can’t believe you don’t know that!” are not helpful, and only serve to make that person feel bad.
• No “well-actually’s.” If someone makes a statement that is not entirely correct, resist the urge to offer a “well, actually…” correction, especially if it is not relevant to the discussion. If you can help solve their problem, feel free to provide correct information, but don’t post a correction just for the sake of being correct.
• Do not correct someone’s grammar or spelling. Again, it is not helpful, and only serves to make that person feel bad. If there is a genuine mistake that may affect the meaning of the post, please contact the person privately or let the instructors know privately so it can be resolved.
• Avoid subtle -isms and microaggressions. Avoid comments that could make others feel uncomfortable based on their personal identity. See the syllabus section on Diversity and Inclusion above for more information on this topic. If a comment makes you uncomfortable, please contact the instructor.
• Avoid sarcasm, flaming, advertisements, lingo, trolling, doxxing, and other bad online habits. They have no place in an academic environment. Tasteful humor is fine, but sarcasm can be misunderstood.

As a participant in course discussions, you should also strive to honor the diversity of your classmates by adhering to the K-State Principles of Community.

Discrimination, Harassment, and Sexual Harassment

Kansas State University is committed to maintaining academic, housing, and work environments that are free of discrimination, harassment, and sexual harassment. Instructors support the University’s commitment by creating a safe learning environment during this course, free of conduct that would interfere with your academic opportunities. Instructors also have a duty to report any behavior they become aware of that potentially violates the University’s policy prohibiting discrimination, harassment, and sexual harassment, as outlined by PPM 3010.

If a student is subjected to discrimination, harassment, or sexual harassment, they are encouraged to make a non-confidential report to the University’s Office for Institutional Equity (OIE) using the online reporting form. Incident disclosure is not required to receive resources at K-State. Reports that include domestic and dating violence, sexual assault, or stalking, should be considered for reporting by the complainant to the Kansas State University Police Department or the Riley County Police Department. Reports made to law enforcement are separate from reports made to OIE. A complainant can choose to report to one or both entities. Confidential support and advocacy can be found with the K-State Center for Advocacy, Response, and Education (CARE). Confidential mental health services can be found with Lafene Counseling and Psychological Services (CAPS). Academic support can be found with the Office of Student Life (OSL). OSL is a non-confidential resource. OIE also provides a comprehensive list of resources on their website. If you have questions about non-confidential and confidential resources, please contact OIE at equity@ksu.edu or (785) 532–6220.

Academic Freedom Statement

Kansas State University is a community of students, faculty, and staff who work together to discover new knowledge, create new ideas, and share the results of their scholarly inquiry with the wider public. Although new ideas or research results may be controversial or challenge established views, the health and growth of any society requires frank intellectual exchange. Academic freedom protects this type of free exchange and is thus essential to any university’s mission.

Moreover, academic freedom supports collaborative work in the pursuit of truth and the dissemination of knowledge in an environment of inquiry, respectful debate, and professionalism. Academic freedom is not limited to the classroom or to scientific and scholarly research, but extends to the life of the university as well as to larger social and political questions. It is the right and responsibility of the university community to engage with such issues.

Campus Safety

Kansas State University is committed to providing a safe teaching and learning environment for student and faculty members. In order to enhance your safety in the unlikely case of a campus emergency make sure that you know where and how to quickly exit your classroom and how to follow any emergency directives. Current Campus Emergency Information is available at the University’s Advisory webpage.

Student Resources

K-State has many resources to help contribute to student success. These resources include accommodations for academics, paying for college, student life, health and safety, and others. Check out the Student Guide to Help and Resources: One Stop Shop for more information.

Student Academic Creations

Student academic creations are subject to Kansas State University and Kansas Board of Regents Intellectual Property Policies. For courses in which students will be creating intellectual property, the K-State policy can be found at University Handbook, Appendix R: Intellectual Property Policy and Institutional Procedures (part I.E.). These policies address ownership and use of student academic creations.

Mental Health

Your mental health and good relationships are vital to your overall well-being. Symptoms of mental health issues may include excessive sadness or worry, thoughts of death or self-harm, inability to concentrate, lack of motivation, or substance abuse. Although problems can occur anytime for anyone, you should pay extra attention to your mental health if you are feeling academic or financial stress, discrimination, or have experienced a traumatic event, such as loss of a friend or family member, sexual assault or other physical or emotional abuse.

If you are struggling with these issues, do not wait to seek assistance.

• Kansas State University Counseling and Psychological Services offers free and confidential services to assist you to meet these challenges.
• Lafene Health Center has specialized nurse practitioners to assist with mental health.
• The Office of Student Life can direct you to additional resources.
• K-State Family Center offers individual, couple, and family counseling services on a sliding fee scale.
• Center for Advocacy, Response, and Education (CARE) provides free and confidential assistance for those in our K-State community who have been victimized by violence.

For Kansas State Salina Campus:

• Kansas State Salina Counseling Services offers free and confidential services to assist you to meet these challenges.
• The Kansas State Salina Office of Student Life can direct you to additional resources.
• The Kansas State Salina Campus offers several services for students, including health services, counseling, and academic assistance.

For Global Campus/K-State Online:

• K-State Online students have free access to mental health counseling with My SSP - 24/7 support via chat and phone.
• The Office of Student Life can direct you to additional resources.

University Excused Absences

K-State has a University Excused Absence policy (Section F62). Class absence(s) will be handled between the instructor and the student unless there are other university offices involved. For university excused absences, instructors shall provide the student the opportunity to make up missed assignments, activities, and/or attendance specific points that contribute to the course grade, unless they decide to excuse those missed assignments from the student’s course grade. Please see the policy for a complete list of university excused absences and how to obtain one. Students are encouraged to contact their instructor regarding their absences.

Copyright Notice

© The materials in this online course fall under the protection of all intellectual property, copyright and trademark laws of the U.S. The digital materials included here come with the legal permissions and releases of the copyright holders. These course materials should be used for educational purposes only; the contents should not be distributed electronically or otherwise beyond the confines of this online course. The URLs listed here do not suggest endorsement of either the site owners or the contents found at the sites. Likewise, mentioned brands (products and services) do not suggest endorsement. Students own copyright to what they create.