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AY Teaching Associate; TA - Information Systems and Decision Sciences

Job in Fresno, Fresno County, California, 93726, USA
Listing for: California State University, Fresno
Part Time position
Listed on 2026-07-01
Job specializations:
  • Education / Teaching
    University Professor, Academic, IT/Computer Science Instructor, Education Administration
Job Description & How to Apply Below
Position: 26-27 AY Teaching Associate (TA) - Information Systems and Decision Sciences

26-27 AY Teaching Associate (TA) - Information Systems and Decision Sciences

Teaching Associate (TA) for the Department of Information Systems and Decision Sciences

College of Craig School of Business

Position Overview:

The Department of Information Systems and Decision Sciences seeks graduate students as Teaching Associate applicants. Teaching Associates typically are responsible for providing classroom instruction. Eligibility is determined by successful TA eligibility, department eligibility and adequate funding.

The department is seeking TA applicants for sections of IS52L Computer Concepts Lab.

The department reserves the right to choose the most qualified candidate for each position and to assign TAs to the courses that are appropriate for the department program and curriculum in any given semester. Due to staff and curriculum changes, courses offered may vary, and no guarantee of employment from semester to semester can be made.

Anticipated Appointment Dates:
This position is opened until filled. If you have applied and no other positions are available, you will be notified.

  • Fall 2026:
    August 19, 2026 – December 22, 2026;
  • Spring 2027:
    January 15, 2027 – May 26, 2027

Hours/Units per week:
Students can work up to 20-hours per week;

  • 1-unit is equivalent to 2.66 hours per week (40hrs x 1-unit/15-unit)
  • The typical range for labs is between 1.3-wtus - 5.2-wtus (dependent on courses and number of section(s) assigned)
  • The typical range for lectures is between 3-6 units (dependent on courses and number of section(s) assigned)
  • No more than 7.5-units

Job Duties may include the following, but will be dependent upon the specific course to which the teaching associate will be assigned, as well as upon the specific needs of the faculty member in charge of the course:

  • Instruct and manage the lab component of the course IS52 Computer Concepts
  • Exhibit proficiency in the instructional software used in the laboratory
  • Exhibit proficiency in Microsoft Office Suite, particularly Excel and Access
  • Preparing course material as assigned by the IS52 Course Coordinator
  • Maintain regular communication with students regarding weekly assignments, homework projects, and exams, and deadlines using Canvas announcements, email, and in-class announcements.
  • Assess student performance, including giving course grades
  • Assist students outside of class during office hours and by appointment
  • Attend TA orientation at the beginning of the semester
  • Maintain office hours
  • Evaluate student work
  • Administering and proctoring exams
  • Maintain ongoing communication with the IS52 Course Coordinator
  • Other duties as assigned

Qualifications:

A candidate for the position of teaching associate in the Department of Information Systems and Decision Sciences must meet the following minimum qualifications:

  • Admission to the MBA or EMBA Program in the Craig School of Business, in good academic standing.
  • Enrollment in at least 6-units for the semester or in two courses toward the degree.
  • Demonstrated, satisfactory progress towards the degree.
  • Ability to relate well with others within the academic environment and have the ability or potential to learn how to instruct and evaluate students.
  • Demonstrated commitment to working effectively with faculty, staff and students from diverse ethnic, cultural and socioeconomic backgrounds.
  • Communication skills appropriate to the instructional setting
  • Proficiency in the use of the Internet and other software applications, specifically, email, file transfer, and Microsoft Office Suite – Word, PowerPoint, Excel, and Access
  • Preferred Qualifications:

  • Undergraduate degree in Computer Information Systems and Technology, Data Analytics, or equivalent.
  • Application Procedures:
    The review of applications will begin in Spring 2026 for a Fall 2026 start date.

    * For full consideration, the application and all required materials must be submitted by June 31st; consideration will continue on a rolling basis until all positions are filled.

    The following documents are required to upload:

    • Current unofficial transcripts from your undergraduate and graduate education. If you have attended more than one institution, please copy and combine these transcripts into one document.…
  • Position Requirements
    10+ Years work experience
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