Web 1 Syllabus
CSCI 3350 Fall 2025

Instructor Information

Name : Terry Sergeant   Office Hours*
E-Mail : tsergeant@hsutx.edu   MW 8:30–9:00; 10:00–11:00; 1:30-2:30
Office : AH 104   TTh 8:30–10:30; 2:30–3:00
Phone : 325-660-7802      
Web Site : https://josephus.sergeantservices.com      

NOTE: Office hours and office location are valid for Weeks 1, 2, 3, 9, and 10 of the semester. For the other weeks office hours will be held online by appointment.

Summary

Description : Students will become proficient in creating content for the web using a variety of client-side technologies including HTML5, CSS, and Javascript. Emphasis is placed on achieving dynamic behavior using widely adopted languages and standards.
Textbook : Textbook is not required.

Course Objectives

Students who satisfactorily complete this course will (hopefully) be able to:

Grading

Your grade in the course will be earned / calculated as follows:
online checkins   4%
lab days   10%
homework assignments   22%
midterm exam   32%
final exam   32%
A $\rightarrow$ 90 100
B $\rightarrow$ 80 89
C $\rightarrow$ 70 79
D $\rightarrow$ 60 69
F $\rightarrow$ 0 59

Overall Course Structure and Online Checkins

A typical week in this course will work as follows:

During the first three weeks of the semester and the two weeks right after fall break, the instructor will on-campus and the lectures and lab days will be in-person in the classroom with the instructor present.

During the other weeks the lab days will continue to be in-person in the classroom, but with a lab tutor present to help answer questions. The lectures during these weeks will be delivered via Teams meeting link here: https://josephus.sergeantservices.com/meeting_room/w1

Attending online lectures is mandatory with 5 points attached to each meeting time. To receive all 5 points at an online meeting you must do all of the following:

You will lose a point for each minute you are not present (not to exceed 5 deductions in a checkin session).

Lab Days

Some Thursday's will be designated as a “lab day” in which we will spend some time working on exercises or homework during the class period. You will need to bring a laptop to class that has been configured according to course requirements. Attendance is mandatory and you will receive a grade of 10 possible points for each lab day evaluated as follows:

3 points preparation did you prepare for the lab day in advance?
2 points attendance did you show up on time and stay for the entire lab session?
5 points participation were you actively engaged in the session without distraction?

IMPORTANT: Showing up to lab day and doing work for another course will yield a 0 for participation. If you know in advance you will have to be absent on a lab day you can receive credit by doing the following:

  1. Prior to the start of class on Thursday do the prelab assignment and post your work in your online repository. ALSO, leave a comment in the lab day assignment in Canvas letting the instructor know you will be absent. This will earn you up to 3 points.
  2. Prior to Friday at midnight leave a second comment in the lab day assignment in Canvas explaining your progress since the first comment. Once again, your progress on the lab day exercise needs to be pushed to your repository. If you have completed all lab day steps by the deadline, you will receive 7 points.

Homework Assignments

Homework in this course serves as the primary conduit for helping students become proficient web practitioners. The homework assignments combined with the lab days will serve as anchors for our typical week:
Typically, on Tuesday homework is due and we introduce the lab day instructions and homework assignment for the week along with lecture topics to support them. Thursday is lab day. This schedule will be modified as needed through the semester.

A homework assignment is considered late if it is not submitted at or before the beginning of the class period on the day it is due. Late homework assignments will receive a 20% point penalty and must be completed within a week or the original due date. Assignments that miss the one week deadline will receive a grade of 0 (unless there are extenuating circumstances).

A primary goal of this course is for each student to become an independent problem-solver. Achieving this goal requires that each student practice solving problems independently. The ideal, therefore, is that each student should make a habit of completing every homework assignment without assistance. There are times, however, when you may become stuck and require assistance. In each assignment I provide a description of resources that are allowed. It is the job of the student to read and comply with those guidelines.

Typical penalties for not following specified guidelines is a zero on the assignment for a first offense, and an F in the course for the second offense.

Exams

There are two exams in the course. The final exam is comprehensive. Exams are to be done without help from others and using only study aids that are expressly allowed by the instructor for that particular exam. Receiving improper help is a violation of the academic integrity policy.

The instructor will be physically present for the Midterm Exam. That exam will be hand-written during the scheduled class session. The instructor will not be present for the Final Exam so it will be administered as follows:

The Role of AI Tools in this Course

Modern AI tools are very proficient at solving short exercises in well-explored domains. The goal of this course is not to have a solution written by any means. The goal is for you to develop the skills necessary to write such code yourself. For this reason, you MAY NOT, under any circumstances make use of AI Tools when working exams or when working homework assignments. Once you have seen the instructions for a homework assignment, consulting an AI tool for help on any part of that assignment is a violation of the academic integrity policy.

There are, however, times when you can get help from an AI tool. When a topic is introduced on Tuesday, if there are concepts related to that topic you do not understand you can ask an AI tool to explain the topics to you, give you practice questions to solve, and give you feedback

So imagine in a typical week:

Monday at 11:59pm
The previous homework assignment is due. You can look at the topics scheduled for the upcoming week, but do NOT look at the lab day and homework assignments if you plan to get learning help from an AI tool.
Tuesday at 1:20pm
We introduce new topics. Feel free to consult with an AI tool to help you learn about the topics introduced in the lecture as long as you haven't read the upcoming assignements and don't ask questions pertaining to any specific assignments in the course.
Wednesday
You complete the prelab. Once you start the prelab you may not use the AI for any part of this course. From now until you've turned in the current week's homework you may not use an AI tool for any part of this course.
Thursday
You do lab day work on your own. Start the homework assignment.

Students with Disabilities

An individual with a disability is defined by the Americans with Disabilities Act (ADA) as a “person who has a physical or mental impairment that substantially limits one or more major life activities.” Any student with a documented disability may choose to seek accommodations. Eligible students seeking accommodation should contact the Director of Undergraduate Advising and Disabilities as soon as possible in the academic term (preferably during the first two weeks of a long semester) for which they are seeking accommodations. The director will prepare letters to appropriate faculty members concerning specific, reasonable academic adjustments for the student. The student is responsible for delivering accommodation letters and conferring with faculty members. Please refer to the most recent version of the Undergraduate Catalog for the complete policy. (Carol Krueger, Director of Undergraduate Advising and Disabilities, Office: Sandefer Memorial, 1st floor Academic Advising Center, Phone: 325-670-5867, Email: disabilityservices@hsutx.edu)

Student Support

Peer-to-peer academic support (tutoring) is available for all undergraduate HSU students. The Academic Center for Enrichment (ACE) is open for virtual tutoring sessions via Zoom. To access instructions or make an appointment, open the ACE course on your Canvas dashboard. For additional information regarding academic support, contact the Advising Center at 325-670-1480 or tutoring@hsutx.edu.

In addition, all full or part-time students are eligible to receive free, confidential, and voluntary counseling services at HSU. Services include consultation, evaluation, counseling, and crisis support services for students facing issues impacting their overall well-being. To obtain any of these services, students may call The Office of Counseling Services at (325) 671-2272, email counseling@hsutx.edu, or begin the intake process by completing our online forms at:https://www.hsutx.edu/intake.

Academic Integrity

Violations of academic integrity have been described to some degree in other sections of this syllabus.

Cases of suspected academic dishonesty will be handled in accordance with university policies outlined in Undergraduate Catalog and in the Student Handbook. The current catalog prescribes that “no student who has violated the Academic Integrity Policy will be allowed to graduate from Hardin-Simmons University with honors.” Penalties will be assigned at the discretion of the instructor and typically range from failure on the assignment to failure of the course. A general rule-of-thumb is that a first offense (if not too major) will result in a zero on the assignment and a second offense will result in an F for the course. The current catalog states that an F earned in this way cannot be replaced by retaking the course.

Computer Account Use

The instructor may occasionally use email to communicate with the class as a whole or with individuals. When contacting you for this course the instructor will use your HSU email account. You are expected to check your HSU email account at least once per day and you will be held responsible for any content distributed in this way.

Attendance

Regarding class attendance, the Undergraduate Catalog states:
Accordingly, absence from more than 25 percent of class meetings and/or laboratory sessions scheduled for a course (including absences because of athletic participation) is regarded as excessive, and a grade of F may be assigned as deemed appropriate by the professor.

Notable Dates

Date Event
Tue 21 Oct Midterm Exam
Thu 27 Nov No class: Thanksgiving Holiday!
Tue 09 Dec Final Exam at 1:00pm