CS 500 Spring 2025

CS 473/573 Computer Networks is required in the academic concentration of the CS BS and can be taken as an elective for others.

This page contains the syllabus for CS 473/573 for the most recent offering (fall 2025). Previous terms - fall 2022 Cox, fall 2021 Kinne, fall 2019 Baker.

Note that all sections of the course will use the same homeworks and lab assignments. Quizzes and exams may be slightly different for the online versus face to face students.

General Information

Course website - https://cs.indstate.edu/web/index.php/CS_473

Important - If you are a graduate student who took CS 473 as an undergraduate, or had transfer credit for CS 473, then you should NOT take CS 573. The system would let you register, but the course would not count towards your MS degree.

Your Instructor

Jeff Kinne, jkinne@indstate.edu
Office: Myers Technology Center (TC) 301D and in Microsoft Teams, phone 812-237-3394
Instructor Office Hours: normally in my office - MW 10:30-1pm, R 9-11am, 12:30-3pm, F 9am-3pm; normally available for online meetings - MTWRF 8am-4pm, SMTWR 8-10pm if I am not in class or a meeting
Meeting: https://cs.indstate.edu/jkinne-meeting

Graduate assistant help - TBD. See https://cs.indstate.edu/web/index.php/ISU_CS_People#CS_Departmental_Graduate_Assistants

Lecture, Exam

Lecture: TR 11am-12:15pm in Myers Technology Center (TC) 308, over Zoom (link in Canvas, see below), and recorded
Exams: every three weeks on Thursdays (Sep 4, Sep 25, Oct 16, Nov 6) during lecture time (11am-12:15pm). (For those with another class at that time, we will arrange the time after the term starts.)
Final exam: Thursday, Dec 11, 10-11:50am. (For those with another class at that time, your exam time will be decided after the term starts.)

Prerequisites - For CS 473 the prereq is: A grade of C or better in CS 203 or CS 303, and in CS 351. For CS 573 the prereq is: C or better in CS 456 or CS 556 or A- or better in CS 500.

CRN numbers - 52629 (CS 473-001), 51234 (CS 473-301), 53103 (CS 573-003), 51235 (CS 573-301).

Required text We will use selections from the following free online sources. We may add to this list as needed.

• Internet Protocol, TCP Protocol, IPv4, Ethernet II, HTTP
• An Introductory 4.4BSD Interprocess Communication Tutorial
• Beej's Guide to Network Programming
• Unix Network Programming, Volume 1: The Sockets Networking API 3rd Edition by W. Richard Stevens (Author), Bill Fenner (Author), Andrew M. Rudoff (Author)
• The Unix Manual Pages (man)

Software/Programs

• WireShark
• Programming - probably some in Python and some in C

Class notes - Notes during class will mostly be kept in the documents in this OneDrive folder. Note that you will need to authenticate with your ISU account to view the folder. Some files from lecture may be kept at https://cs.indstate.edu/~cs473/ which can also be seen when you are logged into the terminal by doing: cd ~cs473/public_html/.

Announcements/Assignments/Quizzes/Exams

HW These are posted in Canvas or on the CS server. Some HWs are due the next lecture day, some are due a week after assigned. All times are Eastern US time.

Rules Rules for HWs, quizzes, exams are in the course policies below.

Announcements Announcements will normally be posted to the course in Canvas (and will probably be emailed to your ISU email address if you have the default settings for notifications in Canvas).

Course Description and Content

Course Description

The official description of this course from the catalog is

"The course is an introduction to networking and includes detailed study of Internet protocols and socket programming. Topics include a study of IP, UDP, and TCP protocols, as well as application layer protocols such as HTTP and SMTP. Students learn to program both a client and a server."

Course Outline

This course outline is subject to change.

Unit 1 Network protocols, the Internet

• IPv4, IPv6, UDP, TCP
• Routing
• Client/server, ARP, DNS, HTTP, SSL
• Security, encryption

Unit 2 Network Programming

• Interprocess communication (BSD IPC paper)
• Processes, pipes, signals, socketpairs, asynch I/O
• Threads, shared memory, etc.

Unit 3 Selected topics

Learning Outcomes

• Able to use Linux systems and terminal - managing files, running code, using utility programs.
• Understanding of data flow on the internet.
  • Can give precise details (diagrams, trace through examples, explain tradeoffs) of how data is transmitted between programs on a single machine and on different machines via the Internet.
• Understanding the fundamentals of network security and encryption.
• Ability to write client and server programs.
  • Completed multiple different client/server and related programs independently, can explain the overall design of the programs and the details of how they are implemented.

Assignments

Start Assignments and Exam Studying Early - I suggest attempting an assignment the day it is given, or the day after, so that if you have a problem you can ask early. If you continue to have problems in trying to complete the assignment, you will have time to ask again. Many of the assignments require thought and problem solving, which takes "time on the calendar" not just "time on the clock". By that I mean that spending an hour on 3 consecutive days is likely to be more productive than trying to spend 3 hours at once on the assignment.

Expected Amount of Work - If you take this class seriously and get what you should out of it, some weeks you will likely be spending around 6-10 hours or more on the class. The students who get A’s in their CS courses and have an easier time finding jobs do spend this much time on this course. Not everyone would need to spend this much time and not all weeks will be the same, but you should plan on putting in whatever time it takes. Note that the federal government definition of 1 credit hour as requiring 2 hours worth of time on the course for each credit hour of lecture, so you should think of this as the default for all of your courses.

Note - your classes in your major should ideally be more important than your part-time job.

Each week, you will normally have at least one assignment, often more than one (in particular at the beginning when the assignments are pretty small).

Grade Meanings

The letter grades are intended to have the following rough meaning. For letter grades I will use the usual breakdown as a starting point (90 is A-, 80 is B-, etc.), but will raise letter grades above this if I think it is needed (e.g., if assignments, exams, and quizzes are really tough).

• A+/A: You understand everything and probably could teach the course yourself.
• B+/A-: You understand nearly everything, and should be all set to use this knowledge in other courses or in a job.
• C/C+/B-/B: Some things you understand very well and others you don't (more towards the former for a B and more towards the latter for a C).
• D-/D+/C-: You did put some effort in, and understand many things at a high level, but you haven't mastered the details well enough to be able to use this knowledge in the future.
• F: Normally, students that get an F simply stopped doing the required work at some point, or cheated on something in the course.

Jeff Kinne Course Policies

Note that many of my course policies are changing for the 2025-2026 academic year. In particular, I will be trying out allowing the use of AI on assignments, but then also focusing a much higher percentage of points on exams and interviews / demonstrations.

To see what my course policies were previously, see Jeff Kinne Course Policies 2024.

Summary

• Assignments - frequent, required header section with citations (0 credit if missing), allowed to use AI or work together (but you will not be prepared for exams if you don't do your own work), graded pass/fail for participation (but with some comments on your code/solutions). I will go through my solutions soon after the assignment is due (many times, the next lecture day). The focus is on you learning quickly; the focus is not the grades.
• Exams - every 3 weeks, on paper for face to face students, lockdown browser with follow-up interview for distance students, very much based on assignments (so if you understand how to do the assignments, you should do well).
• Code review / demo - at least every few weeks, maybe more frequent - will be based on submitted assignments and will explain to the class and/or during office hours. You will do well if you can do the assignments on your own.
• Project - at least one per semester, multiple check points, required header section with citations (0 credit if missing), graded based on code review / demo. The goal is to do something "real", interesting, and/or exciting, and have something you can use in your portfolio (i.e., github).
• Academic misconduct - leaving out a citation from assignment or project, using anything not allowed on exams (not allowed to use anything other than paper/pencil on the exams). Penalty - F for the course and academic misconduct form filed.
• AI - allowed for assignments and projects, you will get 0 points for code review/demo if you don't actually understand what you are handing in. Some assignments may require using AI, learning using AI, finding and fixing problems with AI solutions. The goal is to learn to use AI responsibly and see potential pitfalls.
• Total course grade - will be 60% exams, 30% code review/demos, 10% participation (assignments marked pass/fail). The goal is to assign a grade based on what you can do on your own (fine to learn using AI or others, but the grade should be what you can do on your own after all of that). (Note: for ECT 437, the breakdown is different - 40% exams, 50% code review/demos, 10% participation.)
• 400/500 level courses - courses that are offered as a combined section with a 400 level for undergraduates and a 500 level for graduates (e.g., CS 473 and CS 573) will have some learning outcomes that are required for graduate students that are not required for undergraduates.

Note - all CS Policies are in effect (assuming those are re-approved before the Fall 2026 term starts).

More details are in the rest of this page.

400/500 Level Courses

For courses that are offered simultaneously at the 400 and 500 level (e.g., CS 473 and CS 573), the course is normally managed as a single course. The 400 level course is for undergraduates, and the 500 level course is for graduate students.

Note that graduate students who previously took the 400 level version should NOT take the corresponding 500 level version because in this case the 500 level course does NOT count as credits towards graduating.

For 400/500 level courses, the course is supposed to have some content/learning outcomes/assignments/etc. that are for the graduate students and not required for the undergraduate students. The course syllabus will indicate course learning outcomes that are for the graduate students. These outcomes will be assessed by having some assignments (or parts of assignments) that are required for graduate students and not for undergraduates (undergraduates might be able to complete them for extra credit).

Grades

Your overall course grade will be computed as: exams 60%, participation 10%, demonstrations/interviews 30%. (Note: for ECT 437, the breakdown is different - 40% exams, 50% code review/demos, 10% participation.)

Exams - These will be roughly every 3 weeks (so about 5 total). Each exam will normally be worth a little bit more than the previous one. The lowest exam score will be dropped. There will be no makeup exams; if you miss an exam, then that is your dropped exam. Online students will take the exam at the same time as the rest of the class, in a lockdown browser, and will schedule an interview followup soon after the exam to confirm that this was your own work. For all students (online and face to face), for exams you are not allowed to use anything except yourself - no internet, phone, calculator, AI, communicating with other people, etc.

Participation - There will be frequent assignments. For most assignments, they will be graded strictly pass/fail based on whether you made some reasonable attempt to complete the assignment. Late work will not be accepted. My solutions will be shared with the class soon after the due date. The goal is to have frequent assignments that you do your best on, and then see my solutions so that you can more quickly learn. I will not do detailed grading on these assignments so that more of our time is spent working new problems than focusing too much on grading them. After you see my solution to a problem, you should go back to your work after class and fix your work so it is also correct.

Demonstrations/interviews/projects - Some assignments will be to demonstrate your code/solutions to the class. For some assignments, I will interview you to confirm your solutions. Some assignments will be to work on a project that is more open-ended or in-depth (and that will have a demo or interview). These are all things that give you practice on soft skills, and also allow me to confirm your understanding. You will be graded based on the understanding that is demonstrated during the demo/interview.

For each of the above categories, the total grade for that category will just be the sum of all the points in that category.

Assignments

Attribution and Comments

For all assignments that are handed in (this includes assignments, projects, or anything else that you submit for the course), you are required to have at the top of the submission a summary that includes the following elements.

• Author: your name
• Contents: what is this file for (e.g., hw 1 cs 500)
• Date: date handed in
• Summary: summary of a sentence or few - what does the program do or what is the file about, what changes did you make, etc.
• Attributions: list of sources you used. If you used AI you need to list the prompts you used, which AI was used, and if possible a link back to the AI's responses. If you discussed with anyone, list their names and the amount of discussion. If anyone looked at your code, you need to list that. If you copy/pasted code from anywhere, you need to indicate that and give a link to where you got it from. If you started with a file from class, you list that as well. If you have no attributions to list, then just put "none".

Missing - if this summary is missing, you get a 0 for the assignment.

Inaccurate attribution - if you give an inaccurate attribution (failing to cite that you used AI, failure to indicate that you talked with someone or showed someone your code, etc.), this is academic misconduct.

Very limited effort - if I determine that you put forth very little effort on any assignment, you will get a 0 for the assignment. For example, if all you did was ask an AI for the answer and then provide the AI's response. Or, if all you did was copy code from the internet or another student.

Schedule

The default schedule for my courses is the following.

• Exams - every third week on Wednesdays. Online students take the exam at the same time as the face to face students, and should schedule a 15 minute online meeting with me for the same day as the exam at a time that is after the exam.
• Assignments - most weeks there will be multiple assignments that are graded for participation. Normally, the recommended due date is the next lecture, and my solution will be shared at the beginning of the next lecture.
• Demonstrations - we will normally have around 10 minutes per lecture that is allocated for demonstrations. Depending on the number of students in the course, each student should expect to give a demo to the class roughly every few weeks.
• Interviews - these will be conducted during office hours. These may be about once/week if I have enough time for that. Interviews for assignments will be short (5-10 minutes).
• Projects - there will normally be one or two projects per course. They will normally have multiple check points that are graded. For each check point you will meet with me for a code review.

Exam Content

Most exams will be over just the content from that period in the course. So they are cumulative only in so far as earlier content is still needed for doing the later content in the course. The final exam will be cumulative.

Exam questions will be similar to those that were given as assignments in the class. Some questions will be identical to what was given as an assignment. Some questions will be an extension/modification of an assignment. Those who do what you are supposed to on the assignments (do them on your own as much as possible, only go to AI or others for help after you have struggled on your own, really understand the model solutions) should do well on the exams.

There will normally be a few exam questions that are a challenge even for the top students in the class. There will normally be a few questions that are easy even for the bottom students in the class. The goal is to have a broad range of scores so that the exam accurately measures your skills/knowledge.

Academic Misconduct

What is considered academic misconduct in this course -

• Assignments/projects - lack of citation. All assignments and projects require to have a header section that includes citations to anything used (AI, internet sites, etc.) or anyone you discussed the assignment with. If this section is missing, the assignment is worth 0 points. If the citation section is present but is not accurate (i.e., you leave out a source that you used), that is academic misconduct.
• Quiz/exam - using anything that is not allowed. For quizzes/exams, you are not allowed to use anything except pen/pencil and paper. No calculators, no phones, no notes, no internet, no AI, no communicating with other people. Using any of these is academic misconduct.
• Quiz/exam - distance students will take the quiz/exam in a lockdown browser and otherwise have the same rules (no internet, no notes, etc.). Distance students are not allowed to take the quiz/exam on the same computer as another student in the course; doing so would be academic misconduct.

Penalty for academic misconduct -

• F for the course. This is a 0 tolerance policy. You do not get a second chance, the penalty is F for the course.
• Report is filed for academic misconduct (see Student Support and Accountability) violation (link to file report is https://cm.maxient.com/reporting.php?IndianaStateUniv and then select Academic Misconduct).

Grading Programs and Problems

• Programs: sometimes will be given scores for correctness, style, and being safe/secure code. By default, 1/2 of the points are for correctness, 1/4 for style, 1/4 for being safe/secure. Sometimes only the correctness will be graded. For programming style, see Programming Style - Generic. For safe/secure code, see Programming safe and secure code - generic.
• Math/proofs/essays: sometimes will be given scores for correctness and style. By default, 2/3 of the points are for correctness and 1/3 for style. Points are subtracted for any statement that you include that is false - so you should avoid a brain dump of every thought that you have because I will take off for things that you say that are not correct. For style in writing math/proofs/essay responses, see CS Writing Style - Generic.

Complaints or Questions

If you have any complaints or questions about anything in a course, you should always communicate with the instructor first. If you skip communicating with the instructor and go straight to complaining to someone else (your advisor, the department chairperson, the dean, the university president, etc.), they will generally tell you that you need to talk to the instructor first.

Course Announcements

Announcements regarding the course will be made both during class and in Canvas. You should make sure your settings are such that you will be notified of these announcements (e.g., by email). You should regularly check your ISU email account or have it forwarded to an account that you check regularly. You can set the account to forward by logging into your indstate.edu email online (if you aren't able to find the option, try a different browser or search online for things like - outlook online forward email setting).

Classroom Conduct

You may not use cell phones, iPods/music players, etc. during class. You should be civil and respectful to both the instructor and your classmates, and you should arrive to class a few minutes before the scheduled lecture so you are ready for lecture to begin on time. You may use your computer during class if you are using it to follow along with the examples that are being discussed. You should avoid spending time on email, Facebook, work on other courses, etc. during the lecture for this class (be fully present wherever you are, make the most of each experience).

Office hours

You can contact me by email or Teams or come to my office during the hours I am normally there. If you want to be sure I am there you can sign up for an appointment. Note that I normally am available for online meetings SMTWR 8-10pm as well. If you would like to meet in person you should reserve an appointment using http://cs.indstate.edu/jkinne-meeting to reserve an in person meeting with Jeff Kinne. I am normally in my office during my listed office hours, but by making an appointment you can be more certain.

Canvas

The course has a canvas site. Click https://indstate.instructure.com/ to go to canvas. You should see this course listed under your courses for the current term. If you don't you may need to click on the Courses icon and then click the "All courses" link. The canvas site is used for giving you your grades, for quizzes/exams, for getting to online lectures (which are done using Zoom), and for posting announcements.

Lectures (using Zoom)

Here at ISU section numbers starting with the number 3 (e.g.3xx: 301, 302, etc.) are generally online sections. There are 2 types of online sections, synchronous online and asynchronous online. Sections that are synchronous should be joined at the regularly scheduled time of the course, whereas sections that are asynchronous generally keep up with the material independently without regularly scheduled meetings. In general async sections are more difficult to stay on top of, and require a great deal of self-discipline (it is much easier to think "I can watch the videos tomorrow" and just get behind). So if you are in one of these sections make sure you get off to a strong start, and ask for help sooner rather than later. If you are in an online section, check your course schedule for course meeting times; if you have a meeting time, then your section is synchronous, otherwise it is asynchronous (or there is an error in the system).

For ISU's links to information on getting started with Zoom, see https://indstate.teamdynamix.com/TDClient/1851/Portal/KB/ArticleDet?ID=107534. You will get to the lectures for this course by going to Canvas, select this course, click Modules on the menu on the left, and click on the Zoom module. Once there you should see a schedule of lectures and be able to view recorded lectures. Note that you should install the Zoom application for your computer, and you will need to be logged into to Zoom with your ISU credentials to be able to connect. Also note that the lectures are recorded and only available to those in our class. Recorded lectures normally appear later the same day as the lecture.

Note that if you have not used Zoom with your ISU account previously, you need to go to https://indstate-edu.zoom.us and login with your ISU email address and password to get it setup.

Participating online

If you are participating online, you are expected to either join lectures live through Zoom or watch the recordings once they are available. You will complete assignments, quizzes, and exams on the same schedule as the rest of the class. For most of my courses, you can join the lecture live at the same time as the face to face students (as long as you don't have a time conflict). If you do this, then you can ask questions during lecture. Or, if you choose to watch the lecture recordings (so you can pause as needed, or watch at 1.5x or 2x), then you should send me questions you have before the next scheduled lecture.

Note that exams are required to be taken at the same time as the face to face students. These dates and times are given near the top of the syllabus.

For attendance when you are not in the room... If joining by Zoom, you should post a comment in the chat to say if you have any questions about the current assignments, reading, the last lecture, etc. If watching the lecture later, you should watch it before the next lecture and send me a message by Teams or email saying if you have any questions or want any more examples about a particular topic. So, if not in the room, you should participate at least as much as "no questions from me right now".

Course Policies Quiz

The following is a quiz over Jeff Kinne's course policies: sample quiz. The link is to a practice quiz that you can try out. Those enrolled in the course need to take the quiz within the course for it to count. For Jeff Kinne's courses, you are required to score a 100% on this quiz within the first week of classes in order to continue in the course. Note that you will be able to take the quiz multiple times. If you choose not to score 100% on this quiz you should drop the course.

This page contains common CS course policies that all faculty teaching CS courses should follow. Note that this page is written from the perspective of the faculty member (i.e., the faculty member should do ___).

CS Common Course Policies

Note: as of August 6, 2025, these policies are a draft and need to be approved by the CS faculty still.

Evaluation

All courses receive student evaluations at the end of the term. In addition to the student evaluations, each faculty member is normally evaluated in each of their courses at least once per year. This Word document is a template for the evaluation of a course. Please pay attention to each aspect of the course that will be evaluated.

Part Time Faculty

Part time faculty are assigned a full time CS faculty member as a "support faculty member". The support faculty member should be added to the canvas course, should review the course syllabus/plan, should have a brief discussion about the course before the term starts, should visit the class some time within the first week or two of the course to make sure everything is going along properly, and will write up an evaluation of the course

Talk About Academic Integrity in the First Class

Please take a few minutes during your first session to explain clearly to students:

• Using AI tools (or any kind of cheating) without permission will lead to an automatic F in the course.
• A formal academic misconduct report will also be filed.
• There are no second chances; this applies whether it happens early or late in the semester.

Include in the Syllabus

Make sure your course syllabus clearly states:

• Whether or not AI tools are allowed (and in what context).
• What counts as academic dishonesty.
• What the penalties are (e.g., failing grade, official report).

Design Assignments That Encourage Real Learning

Try to create assignments that:

• Require students to think through the course material, not just paste questions into ChatGPT.
• Ask for short explanations or reflections along with code.
• Pull from class content that may not be handled well by AI tools (make it a little harder for someone to rely entirely on AI without understanding what they are doing).

Keep Exams Secure

For exams, we ask that you:

• Hold them in person whenever possible, using pen and paper.
• If the exam is online or needs to be submitted to Canvas, please use a Lockdown Browser, and consider quick follow-ups (like asking a few students to explain their answers).
• Do not allow phones, laptops, or any smart devices during the test (This helps make sure students are actually doing the work themselves).

Encourage Learning Over Shortcuts

Throughout the term, remind students that:

• Sticking to the material in the course is enough to succeed.
• Relying too much on AI now can hurt them later (especially in interviews or real jobs).
• Practicing with their own code or answer, even when it is messy or incomplete, is still the best way to learn.

What to Do If Someone Cheats

If you discover that a student has used AI or cheated:

• Please report it right away and assign the student an F in the course.
• Let the chair know what happened.
• Submit an academic misconduct form (we can help with that if needed).

Projects

Courses should have students do work that is more than "just" vocab, multiple choice questions, etc. For the majority of courses this will involve programming. For some courses this will be proofs/algorithms, system analysis/design, or other work of this nature. Courses should generally have a number of these types of assignments, with students working on these types of assignments at least half of the weeks in the semester.

University Policies

Reminder of some key university policies: respond to student questions with 2 business days (at most), submitted work is graded within 2 weeks (though faster is better), syllabus submitted to department chairperson and admin by the first day of lecture, 3 week attendance reporting, interim grades after the 6th week, no exams during study week.

Interim Grades

Interim grades are assigned after the 6th week of class. This means that there should normally be a significant number of assigned and graded work by the end of the 6th week. These should not be all bunched up in the 6th week; normally there should be graded work by the 3rd week of classes (preferably sooner).

Online courses

• Courses that are asynchronous online should have videos for some of the content, normally at least 1/2 as many hours as there would be lecture hours (at least 1/2 of 45 hours for a 3 credit course). Exceptions should be discussed with the support faculty and approved by the chairperson.
• Faculty should respond to student questions within 24 hours during the work week.
• Faculty should be available to meet with students by appointment (and respond promptly to requests).
• Only the following are approved to take CS courses online: distance students, face to face student who needs to take another course that is at the same time as the CS course (and cannot avoid taking both courses in the given term).

Face to Face Courses

• Students in face to face courses are required to take exams in the classroom.

Lab Help

See https://cs.indstate.edu/web/index.php/Unix_Lab_and_Help

ISU Required Course Information Items

The items in this section are required and are the same for every ISU course.

Americans with Disabilities Act (ADA) Statement

Indiana State University recognizes that students with disabilities may have special needs that must be met to give them equal access to college programs and facilities. If you need course adaptations or accommodations because of a disability, please contact us as soon as possible in a confidential setting either after class or in my office. All conversations regarding your disability will be kept in strict confidence.

Indiana State’s Accessibility & Advocacy Resources Office coordinates services for students with disabilities: documentation of a disability needs to be on file in that office before any accommodations can be provided. The Accessibility & Advocacy Resources Office is located at HMSU room 816. They can be contacted at 812-237-3829 or isu-aaro@indstate.edu. Appointments to discuss accommodations with the Accessibility Resources Office staff are encouraged.

Once a faculty member is notified by the Accessibility Resources Office that a student is qualified to receive academic accommodations, a faculty member is obligated to provide or allow a reasonable classroom accommodation under ADA.

Non-Discrimination, Harassment, and Sexual Misconduct

Standard ISU language required in all syllabi...

Indiana State University is committed to inclusive excellence. To further this goal, the university does not tolerate discrimination in its programs or activities on the basis of: race, color, national origin, gender, age, sexual orientation, gender identity or expression, disability, veteran status, or any other protected class. Title IX of the Educational Amendments of 1972 in particular prohibits discrimination based on sex in any educational institution that receives federal funding. This includes sexual violence, sexual misconduct, sexual harassment, dating violence, domestic violence, and stalking. If you witness or experience any form of the above discrimination, you are asked to report the incident immediately to Public Safety: 812-237-5555 or to The Office of Equal Opportunity & Title IX: 812-237-8954. With respect to sexual discrimination, instructors, faculty, and some staff are required by law and institutional policy to report what you share with them to The Office of Equal Opportunity & Title IX. You do, however, have the option of sharing your information with the following confidential resources on campus:

• Student Counseling Center: 812-237-3939; Gillum Hall, 2nd Floor
• Victim Advocate: 812-237-3849 or 812-243-7272 (cell); HMSU 8th Floor

For more information about discrimination and the support resources available to you visit the Office of Equal Opportunity and Title IX website. Please direct any questions or concerns to: Title IX Coordinator; 812-237-8954; Rankin Hall 426; ISU-equalopportunity-titleix@indstate.edu.

TimelyCare

The ISU dean of students asked faculty and staff to spread the word about this, so I am including it here in the syllabus.

Attention all faculty and staff! Indiana State University is now partnered with TimelyCare to deliver a new virtual health and well-being platform for students. This service is in addition to the in-person counseling services offered in the Student Counseling Center, 2nd floor Gillum Hall. The service provides 24/7 access to virtual care at no cost! Remind your students to take advantage of the TimelyCare services when they feel stressed or overwhelmed. We’ve included a slide that you can attach to emails, input in Canvas and present to students before and after class.

In addition to services for students, TimelyCare offers Faculty Support — a service for faculty and staff that is designed to equip you with information to help students who may be struggling. It’s available 24/7/365 for free so you can get the guidance on how to support a student in need of care. Access Faculty Support by calling 833-4-TIMELY, ext. 2.

How can students access TimelyCare? Students can go to https://timelycare.com/indianastate or directly download the TimelyCare app from the app store to register with their school email address by clicking the "Get registered" link. It is important that our students all register in advance on the platform-- and this is where you can help us! Students can then start visits from any web-enabled device – smartphone, tablet, laptop, or desktop – anywhere in the United States.

Who can use TimelyCare? Any enrolled student.

What services are available? TalkNow - 24/7, on-demand emotional support. Scheduled Counseling - Select the day, time, and mental health provider of your choice. (6 visits per year). Self-Care Content - 24/7 access to self-care tools and resources, such as meditation and yoga sessions, helpful videos, and short articles from experts.

How much does a visit cost? TimelyCare services are available at no cost to students.

Getting Help

You are also strongly encouraged to take advantage of Indiana State’s Writing Center. The Writing Center offers a variety of services designed to help students succeed in their classes and careers. The Writing Center is available to assist all registered ISU students with any area of reading or writing for any class. They can also help with personal projects like short stories or personal statements. They offer one-on-one consultations, drop-in services, and online appointments as well as group study tables. All services are free of charge. Students can make appointments by calling (812) 237-2989 or by using the link on the Writing Center website. Please prepare for your appointment by bringing your textbook, relevant notes and materials, and a printed copy of the writing you have attempted so far.

The Math Lab provides free tutoring for math students through on-campus and virtual meetings. By providing a judgement-free environment, students can build their confidence and view learning math as positive and rewarding. The Math Lab is located in Root Hall, room A009. The hours vary so be sure to check the Math Lab’s website (current link still needed, after website refresh in fall 2024) to see when tutoring hours are available for your particular math course. If you have any questions, email ISU-MathLab@indstate.edu or call (812) 237-2130.

Student support and accountability: https://sycamoresindstate.sharepoint.com/sites/STU-StudentSupportandAccountability

Accessibility and Resource Office: https://indianastate.edu/life-state/dean-students/aaro#request-accommodations

Student Affairs: https://indianastate.edu/life-state/dean-students

Writing Center: https://sycamoresindstate.sharepoint.com/sites/STU-WritingCenter

Commitment to Career Readiness

The administration, faculty, and staff at Indiana State University believe that in addition to educating students in academic content, it is important to prepare them to be professional and competent employees in the job market. We are committed to incorporating the eight career competencies outlined by the National Association of Colleges and Employers (NACE) as being necessary to success in the job search and workplace. Many of these eight career readiness competencies will be taught and integrated into your classroom learning:

Critical Thinking/Problem Solving, Oral/Written Communications, Teamwork/Collaboration, Digital Technology Application, Leadership, Professionalism/Work Ethic, Career Management, Global/Intercultural Fluency.

For additional assistance with your career development and preparation, please contact the Career Center (ISU-Career-Center@indstate.edu) or visit the Career Center's website.

Artificial Intelligence in the Classroom

Indiana State University recognizes the transformative potential of generative artificial intelligence programs and encourages faculty and students to develop literacy regarding these programs.

Your instructor may decide how to best pursue that goal within the following levels:

Most Restrictive: AI use not permitted. Any use of generative AI without explicit permission will be considered academic misconduct and may result in disciplinary action, including but not limited to failing the assignment, course, or even expulsion from the university.

Moderately Restrictive: AI use permitted, but all usage must be documented. Students must follow their assigned citation method for attributing ideas from outside sources, including generative AI. Failure to document AI usage may result in incomplete assignments, a lower grade, or a requirement to re-do the assignment. Assignments that rely too heavily on AI without sufficient student input may receive reduced grades.

Least Restrictive: AI use required for some course assignments. Some assignments will require students to explore generative AI tools and platforms.

Please note that the Indiana State University Office of Information Technology cannot provide support for artificial intelligence platforms, so faculty should carefully consider how to respond to students in the event of technical problems.

Your instructor may provide more explicit instructions regarding AI usage as part of the course syllabus and assignment descriptions.

As a student, you need to assess the validity and applicability of any generative AI output you use; you bear the final responsibility for all work you submit.

Policies clarifying methods of enforcement against the use of AI tools should be made available in the syllabus. Faculty are discouraged from relying solely on AI-detection programs since such programs can be unreliable and prone to bias.

Several programs and applications have options to view the edit history of a file. If a student is suspected of using an AI tool in violation of course policy, they should be given the opportunity to present this history as evidence. Additionally, students should be able to explain their work and reasoning on the assignment during an in-person meeting with their instructor.

You should always protect your data when using generative AI platforms. Do not share what you do not want easily found by others; this includes but is not limited to: private information, sensitive material, any text protected by copyright, or any course content (lecture notes, assignment descriptions, etc.) without the explicit permission of your instructor.

Generative AI platforms are part of a rapidly developing field, and policies listed here may need to change to reflect those technological advances.